Scallions/seaice-obs

Sea-ice observation / validation datasets (mirror)

数据进度与范围 / Status & Coverage

最后更新 (last updated): 2026-10-19 10:31 CST (UTC+8) 总进度 (overall): 114812/167353 (68.6%) 文件 (files), 已上传 (uploaded) 461.13 GB；82 个产品 (products)

分类说明见下文 Classification and folder layout。类型 (type): obs = 原始/L1–L2 观测；retrieval product = L3/L4 卫星反演产品；reanalysis/model = 再分析/模式；derived index/climatology = 派生指数/气候态。

Concentration / extent (密集度/范围)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
obs/satellite/osisaf_osi-450-a1/	retrieval product	L4 (daily gridded, gap-filled CDR)	SMMR, SSM/I, SSMIS	Hybrid dynamic-tie-point PMW algorithm + RTM atmospheric correction	both	1978-10 – 2020-12	25 km EASE2, daily/monthly	31.28 GB	✅ 完成 (done) 28439/28439 (100.0%)
obs/satellite/unibremen_amsr2-asi-6250/	retrieval product	L3 (daily gridded)	AMSR2 (GCOM-W1)	ASI algorithm, 89 GHz polarisation difference	both	2012-07 – present	6.25 km polar stereographic, daily	18.43 GB	✅ 完成 (done) 10456/10456 (100.0%)
derived-index/nsidc_g02135-v4/	derived index/climatology	L4 index (extent/area tables + maps)	SMMR, SSM/I, SSMIS	NASA Team SIC → extent (≥15%) / area, daily & monthly, regional	both	1978-11 – present	25 km polar stereographic; tables	6.49 GB	⏳ 进行中 (in progress) 16190/65866 (24.6%)
obs/satellite/esacci_sea-ice-concentration/	retrieval product	L4 (daily gridded CDR)	SSM/I, SSMIS, AMSR-E, AMSR2	SICCI hybrid algorithm with dynamic tie-points + RTM correction	both	1991/2002 – 2020 (SSMI 12.5 km v3.0; AMSR 25/50 km v2.1 2002–2017)	12.5 / 25 / 50 km EASE2, daily	242.91 GB	✅ 完成 (done) 42361/42361 (100.0%)
obs/satellite/nsidc_g02202-v6/	retrieval product	L3 (daily/monthly gridded CDR)	SMMR, SSM/I, SSMIS	CDR = max of NASA Team and Bootstrap SIC	both	1978-10 – present	25 km polar stereographic, daily/monthly	8.85 GB	✅ 完成 (done) 2508/2508 (100.0%)
obs/satellite/osisaf_osi-430-a/	retrieval product	L4 (daily gridded ICDR)	SSMIS	OSI-450-a1 algorithm continued (interim CDR)	both	2021-01 – 2025-09	25 km EASE2, daily/monthly	3.87 GB	✅ 完成 (done) 3564/3564 (100.0%)
obs/satellite/osisaf_osi-430-b/	retrieval product	L4 (daily gridded ICDR, deprecated)	SSMIS	OSI-450 v2 algorithm continued (interim CDR)	both	2016 – 2023-05	25 km EASE2, daily	30.31 GB	✅ 完成 (done) 5348/5348 (100.0%)
obs/satellite/concentration-extent/dtu_nimbus6-scams-v1.0/	retrieval product	L3 (daily gridded)	Nimbus-6 SCAMS (22.2/31.7 GHz)	SIC and ice type from 22.235/31.65 GHz Tb	both	1975-06 – 1976-06	daily grid (see files)	2.09 GB / 2.09 GB	✅ 完成 (done) 2/2 (100.0%)
reanalysis/concentration-extent/ncar_hadley-oi-sst-sic-v6.1/	reanalysis/model	L4 analysis (model forcing)	HadISST1 (in situ + satellite) + NOAA OI.v2	Merged HadISST1/OI.v2 SST & SIC, anomaly-based blending (CAM AMIP forcing)	both (global)	1870-01 – 2022-06	1°, monthly	0.95 GB / 0.95 GB	✅ 完成 (done) 3/3 (100.0%)
derived-index/concentration-extent/uhh_sie-ensemble-osi450a1/	derived index/climatology	L4 index (extent ensemble)	SMMR, SSM/I, SSMIS (OSI-450-a1)	SIE (SIC≥15%) with 50-member correlated-noise ensemble	both (+regions)	1978 – 2020	daily regional totals (CSV)	0.17 GB / 0.17 GB	✅ 完成 (done) 25/25 (100.0%)
derived-index/concentration-extent/uhh_sia-ensemble-osi450a/	derived index/climatology	L4 index (area ensemble)	SMMR, SSM/I, SSMIS (OSI-450a)	SIA with 50-member correlated-noise ensemble	both (+regions)	1978 – 2020	daily regional totals (CSV)	0.20 GB / 0.20 GB	✅ 完成 (done) 25/25 (100.0%)
obs/satellite/concentration-extent/dartmouth_is2-gridded-lif-fsd-v6/	retrieval product	L3 (monthly gridded)	ICESat-2 ATLAS	Along-track ice/water class → linear ice fraction, floe size, waves	both	2018-10 – 2024-12	25 km, monthly	0.00 GB / 2.90 GB	⏳ 进行中 (in progress) 0/2 (0.0%)
derived-index/concentration-extent/esr_antarctic-primary-ice-edge/	derived index/climatology	L4 index (ice-edge contours)	SSM/I, AMSR-E, AMSR2	Northernmost 15% SIC contour (NT2/ARTIST), smoothed/unsmoothed	south	SSM/I – AMSR2 eras (see files)	daily contours (MATLAB)	0.00 GB / 1.99 GB	⏳ 进行中 (in progress) 0/5 (0.0%)
obs/satellite/concentration-extent/snu_landsat8-sic-6.25km/	retrieval product	L3 (gridded scenes)	Landsat-8 OLI	30 m ice/water classification aggregated to 6.25 km SIC	north (12 regions)	three years of Landsat-8 (see files)	6.25 km polar stereographic	0.00 GB / 0.27 GB	⏳ 进行中 (in progress) 0/12 (0.0%)
obs/satellite/concentration-extent/caltech_modis-floe-segmentation-v2/	retrieval product	L3 (daily floe maps)	MODIS Terra true colour	Floe segmentation → floe properties, SIC, floe-size distribution	north (Beaufort Sea)	2000 – 2022 (Mar–Sep)	256 m, daily	0.00 GB / 2.17 GB	⏳ 进行中 (in progress) 0/26 (0.0%)
reanalysis/concentration-extent/uclouvain_antarctic-recon-1958-2023-v2/	reanalysis/model	reconstruction (data assimilation)	9 ESM priors + station/ice-core data	Data-assimilation reconstruction, annual anomalies + uncertainty	south	1958 – 2023	annual fields	0.00 GB / 0.46 GB	⏳ 进行中 (in progress) 0/54 (0.0%)
derived-index/concentration-extent/ucla_antarctic-sie-recon-20c/	derived index/climatology	L4 index (reconstruction)	statistical reconstruction	Sector SIE anomaly reconstruction, 2500 members	south (sectors)	20th century	monthly (CSV)	0.00 GB / 0.41 GB	⏳ 进行中 (in progress) 0/6 (0.0%)
derived-index/concentration-extent/uw_arctic-sie-recon-instrumental/	derived index/climatology	L4 index (reconstruction)	CCSM4/MPI priors + HadCRUT/BE/GISTEMP	Data-assimilation reconstructions of total Arctic SIE	north	instrumental era (see file)	annual totals	0.00 GB / 0.01 GB	⏳ 进行中 (in progress) 0/1 (0.0%)
obs/satellite/concentration-extent/dmi_msc-sic-v0/	retrieval product	L4 (daily gap-free composite)	SMMR/SSMI/SSMIS, AMSR-E/AMSR2 + NIC/FMI/SMHI ice charts	Multi-source composite (OSI-450-a, SICCI-HR, OSI-458, charts), bias-corrected, gap-filled	both (global)	1982-01 – 2024-12	0.05° lat/lon, daily	0.00 GB / 141.30 GB	⏳ 进行中 (in progress) 0/5 (0.0%)

Thickness / freeboard / volume (厚度/干舷/体积)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
obs/satellite/awi_cs2smos/	retrieval product	L4 (weekly merged)	CryoSat-2 SIRAL + SMOS MIRAS	Optimal interpolation of CS-2 radar-freeboard SIT and SMOS thin-ice SIT	north	2010-11 – 2025-04 (Oct–Apr)	25 km EASE2, weekly	4.61 GB	✅ 完成 (done) 2935/2935 (100.0%)
reanalysis/psc_piomas-v2.1/	reanalysis/model	model reanalysis	PIOMAS ice-ocean model (assimilates SIC, SST)	Coupled ice-ocean model with SIC/SST assimilation, NCEP forcing	north	1978 – present	PIOMAS grid 360×120, daily/monthly	2.43 GB	✅ 完成 (done) 449/449 (100.0%)
obs/satellite/esacci_sea-ice-thickness/	retrieval product	L3C (monthly gridded)	ERS-2 RA, Envisat RA-2, CryoSat-2 SIRAL	Radar freeboard + W99m/AMSR snow, hydrostatic equilibrium	both	ERS-2 1990s–2003, Envisat 2002–2012, CS-2 2010–2024	25 km EASE2 (NH) / 50 km (SH), monthly	0.84 GB	✅ 完成 (done) 504/504 (100.0%)
obs/satellite/nsidc_atl20-v005/	retrieval product	L3B (gridded)	ICESat-2 ATLAS	ATL10 laser total freeboard gridded daily/monthly	both	2018-10 – present	25 km polar stereographic, daily/monthly	0.58 GB	✅ 完成 (done) 186/186 (100.0%)
obs/satellite/jpl_sits-gnssr-l3-antarctic-v1.0/	retrieval product	L3 (7-day gridded)	Spire GNSS-R (grazing + near-nadir)	GNSS-R reflectivity → thickness, multi-observable combination	south	2022-10 – 2024-01	12.5 km EASE2 South, 7-day	1.27 GB	✅ 完成 (done) 134/134 (100.0%)
obs/satellite/jpl_sits-gnssr-l3-arctic-v1.0/	retrieval product	L3 (7-day gridded)	Spire GNSS-R (grazing + near-nadir)	GNSS-R reflectivity → thickness, multi-observable combination	north	2022-10 – 2024-01 (winters)	12.5 km EASE2 North, 7-day	3.67 GB	✅ 完成 (done) 307/307 (100.0%)
obs/satellite/norce-tum_gnssr-freeboard-nh-v1.1/	retrieval product	L3C (monthly gridded)	Spire grazing-angle GNSS-R	GNSS-R phase altimetry SSH → freeboard (experimental)	north	2023-10 – 2024-04	50 km EASE2 North, monthly	0.00 GB	✅ 完成 (done) 7/7 (100.0%)
obs/satellite/thickness-freeboard-volume/legos_sit-cdr-ers-envisat-cs2-v2/	retrieval product	L3 (monthly gridded)	ERS-1/2 RA, Envisat RA-2, CryoSat-2 SIRAL	Radar freeboard (CS-2 calibrated) + snow options, hydrostatic	both	1993/94 – 2023	monthly grid (see files)	6.51 GB / 6.20 GB	✅ 完成 (done) 74/74 (100.0%)
derived-index/thickness-freeboard-volume/legos_sivol-cdr-v2/	derived index/climatology	L4 index (integrated volume)	ERS-1/2, Envisat, CryoSat-2	Integrated sea ice volume from the LEGOS SIT CDR, regional, with uncertainty	both	1993 – 2023	monthly regional totals (CSV)	0.01 GB / 0.01 GB	✅ 完成 (done) 16/16 (100.0%)
obs/satellite/thickness-freeboard-volume/legos_radar-freeboard-nh-v1.1/	retrieval product	L3 (monthly gridded)	ERS-1/2 RA, Envisat RA-2, CryoSat-2 SIRAL	Radar freeboard; ERS/Envisat calibrated to CS-2 SAR TFMRA50	north	1993 – 2021	monthly grid (see files)	2.63 GB / 2.63 GB	✅ 完成 (done) 4/4 (100.0%)
obs/satellite/thickness-freeboard-volume/legos_sit-cdr-sh-amsrsnow/	retrieval product	L3 (monthly gridded)	ERS-1/2 RA, Envisat RA-2, CryoSat-2 SIRAL	Radar freeboard + SI-CCI AMSR snow climatology, hydrostatic	south	1994-04 – 2023-06	monthly grid (see files)	4.99 GB / 0.44 GB	✅ 完成 (done) 37/37 (100.0%)
obs/satellite/thickness-freeboard-volume/gsfc_cs2wfa-antarctic-v0.1.1/	retrieval product	L3 (monthly gridded)	CryoSat-2 SIRAL SAR/SARIn (Baseline-D)	Waveform fitting (CS2WFA) snow & ice freeboard, hydrostatic	south	2010-07 – 2021-08	25 km polar stereographic, monthly	0.28 GB / 0.28 GB	✅ 完成 (done) 134/134 (100.0%)
obs/satellite/thickness-freeboard-volume/whu_arctic-sit-5km-v1.0/	retrieval product	L3 (monthly gridded)	ERS-2 RA, Envisat RA-2, CryoSat-2 SIRAL	Lead detection, freeboard→SIT, inter-mission bias correction (DTU21 MSS)	north	1995-10 – 2025-04	5 km polar stereographic, monthly	1.70 GB / 1.69 GB	✅ 完成 (done) 1/1 (100.0%)
obs/satellite/thickness-freeboard-volume/umd_is2smgpsit-v1/	retrieval product	L4 (daily gridded, fused)	ICESat-2 ATLAS + SMOS/SMAP	Gaussian-process fusion of ICESat-2 SIT with SMOS/SMAP thin-ice SIT	north	2018-11 – 2025-04 (growth seasons)	25 km polar stereographic, daily	8.12 GB / 8.12 GB	✅ 完成 (done) 54/54 (100.0%)
obs/satellite/thickness-freeboard-volume/umd_is2sit-summer-v1/	retrieval product	L3 (monthly gridded)	ICESat-2 ATLAS (ATL10 R006)	ATL10 freeboard + SnowModel-LG snow (ERA5/MERRA-2), hydrostatic	north	2019–2021, May–Aug	25 km polar stereographic, monthly	0.27 GB / 0.27 GB	✅ 完成 (done) 33/33 (100.0%)
obs/satellite/thickness-freeboard-volume/kochi-utokyo_nh-daily-sit-thermo/	retrieval product	L4 (daily gridded)	AMSR-E, AMSR2	SIT from thermodynamic growth history of tracked PMW ice parcels	north	2007-01 – 2011-09, 2016-07 – 2025-12	daily grid (see files)	5.34 GB / 5.34 GB	✅ 完成 (done) 31/31 (100.0%)
obs/satellite/thickness-freeboard-volume/uhh_smos-smap-sit-v1.0/	retrieval product	L3 (daily gridded)	SMOS MIRAS + SMAP radiometer (L-band)	Combined 40° L-band Tb → thin-ice SIT (Tian-Kunze 2014)	north	2015-04 – 2018-04 (Oct–Apr)	12.5 km EASE2, daily	6.20 GB / 6.20 GB	✅ 完成 (done) 577/577 (100.0%)
obs/satellite/thickness-freeboard-volume/lerma_pmw-sit-ssmi-v1.0/	retrieval product	L3 (monthly gridded)	SSM/I, SSMIS	MLP trained on ICESat-2 SIT using 19/37 GHz Tb	north	1992 – 2020 (Oct–Mar)	grid per file	0.00 GB / 0.36 GB	⏳ 进行中 (in progress) 0/1 (0.0%)
obs/satellite/thickness-freeboard-volume/norce_dasit-v100/	retrieval product	L4 (drift-aware)	Envisat RA-2, CryoSat-2 + OSI SAF drift/SIC	CCI SIT parcels advected with PMW drift (drift-aware SIT)	north	Envisat 2002–2012, CS-2 2010–2020 (Oct–Apr)	grid per files	0.00 GB / 16.02 GB	⏳ 进行中 (in progress) 0/2 (0.0%)
obs/satellite/thickness-freeboard-volume/ucl_daily-pan-arctic-sit/	retrieval product	L4 (daily gridded)	CryoSat-2, Sentinel-3, ICESat-2	Daily-resolution SIT (Stroeve et al. 2024 method), several algorithms	north	2011 – 2022	daily grid (see files)	0.00 GB / 8.12 GB	⏳ 进行中 (in progress) 0/33 (0.0%)
obs/satellite/thickness-freeboard-volume/tju_ice-3d-ml-sit/	retrieval product	L4 (ML estimate)	not stated on record	Machine-learning SIT (ICE-3D); record has no description	north	2000 – 2023	not stated	0.00 GB / 4.88 GB	⏳ 进行中 (in progress) 0/24 (0.0%)
obs/satellite/thickness-freeboard-volume/dmi_cs2-tfmra50-sit-2011-2022-v2/	retrieval product	L3 (monthly gridded)	CryoSat-2 SIRAL (+ ICESat-2)	TFMRA50 radar-freeboard correction; snow depth & SIT retrieval	north	2011 – 2022 (winter)	monthly grid (see files)	0.00 GB / 0.04 GB	⏳ 进行中 (in progress) 0/1 (0.0%)
obs/satellite/thickness-freeboard-volume/ucl_s3-narrs-v1.0.0/	obs	L2 (along-track)	Sentinel-3A/B SRAL + MWR	NaRRS: MWR + SRAL waveform snow depth; SIT hydrostatic	north (50–81.35°N)	2016/17 – 2022/23 (Oct–Apr)	along-track, 23.5 km	0.00 GB / 1.43 GB	⏳ 进行中 (in progress) 0/2 (0.0%)
obs/satellite/thickness-freeboard-volume/jpl_sits-gnssr-l2-antarctic-v1.0/	obs	L2 (along-track)	Spire GNSS-R	GNSS-R reflectivity → along-track SIT	south	2022-10 – 2024-01	along-track	0.00 GB / 0.55 GB	⏳ 进行中 (in progress) 0/8 (0.0%)
obs/satellite/thickness-freeboard-volume/jpl_sits-gnssr-l2-arctic-v1.0/	obs	L2 (along-track)	Spire GNSS-R	GNSS-R reflectivity → along-track SIT	north	2022-10 – 2024-01	along-track	0.00 GB / 0.68 GB	⏳ 进行中 (in progress) 0/8 (0.0%)
obs/satellite/thickness-freeboard-volume/norce-awi_dasit-75km-octapr/	retrieval product	L4 (drift-aware parcels)	Envisat RA-2, CryoSat-2 + OSI SAF drift/SIC	DA-SIT customised: Oct–Apr advection, 75 km parcels	north	Envisat 2002–2012, CS-2 2010–2020	75 km parcels (GeoJSON)	0.00 GB / 14.51 GB	⏳ 进行中 (in progress) 0/20 (0.0%)
reanalysis/thickness-freeboard-volume/nersc_topaz4-ml-sit/	reanalysis/model	reanalysis + ML correction	TOPAZ4 (assimilates SIC, CS2SMOS) + ML	ML-corrected TOPAZ4 reanalysis thickness	north	1992 – 2022	TOPAZ4 grid (~12.5 km), daily	0.00 GB / 22.22 GB	⏳ 进行中 (in progress) 0/32 (0.0%)

Snow on sea ice (冰上积雪)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
reanalysis/snow/nasa_nesosim-v1.1/	reanalysis/model	model output (L4)	NESOSIM forced by reanalysis snowfall/winds + PMW drift/SIC	Eulerian 2-layer snow budget model	north	1980 – 2025 (Sep–Apr)	100 km, daily	2.11 GB / 2.11 GB	✅ 完成 (done) 45/45 (100.0%)
obs/satellite/snow/sysu_snowdepth-pmw-1978-2025/	retrieval product	L3 (daily gridded)	SMMR, SSM/I, SSMIS	PMW gradient-ratio snow depth with uncertainty	north	1978 – 2025 (Oct–Apr)	25 km polar stereographic, daily	0.88 GB / 0.88 GB	✅ 完成 (done) 1/1 (100.0%)
reanalysis/snow/eccc_nesosim-mcmc/	reanalysis/model	model output (L4)	NESOSIM + ERA5/MERRA-2/JRA-55, CloudSat scaling	NESOSIM calibrated by MCMC to snow obs; multi-reanalysis mean + uncertainty	north	1980 – 2023	100 km, daily	4.68 GB / 4.68 GB	✅ 完成 (done) 8/8 (100.0%)
obs/satellite/snow/sysu_snowdepth-amsr-2002-2024/	retrieval product	L3 (daily gridded)	AMSR-E, AMSR2	GR(19/7) snow depth with snow-density correction (He et al. 2024)	north	2002 – 2024 (Oct–Apr)	25 km polar stereographic, daily	19.48 GB / 7.65 GB	✅ 完成 (done) 23/23 (100.0%)
obs/satellite/snow/adasa_amsr2-snowdepth-v1/	retrieval product	L3 (daily gridded)	AMSR2	Adaptive seasonal algorithm trained on CS-2/IS-2 snow	north	2012 – 2023 (freezing seasons)	daily grid (see files)	0.00 GB / 5.28 GB	⏳ 进行中 (in progress) 0/1 (0.0%)
reanalysis/snow/uw_wassail-v1.0.0/	reanalysis/model	model output (L4)	WASSAIL forced by ERA5 + satellite drift/SIC	Lagrangian parcel snow-budget model	south	2003-02 – 2025-02	0.75°, daily	0.00 GB / 16.05 GB	⏳ 进行中 (in progress) 0/13 (0.0%)
obs/satellite/snow/legos_laku-snowdepth-v1/	retrieval product	L3 (monthly gridded)	CryoSat-2 SIRAL (Ku) + ICESat-2 ATLAS	Snow depth = laser minus Ku radar freeboard	north	2018 – 2021 (winter)	25 km, monthly	0.00 GB / 0.05 GB	⏳ 进行中 (in progress) 0/21 (0.0%)
derived-index/snow/awi_snow-clim-w99-amsr2-v1.0/	derived index/climatology	L4 climatology	AMSR2 + Warren-99 climatology	Merged PMW snow + W99, monthly climatology	north	climatology (Oct–Apr)	25 km EPSG:3411, monthly	0.00 GB / 0.34 GB	⏳ 进行中 (in progress) 0/7 (0.0%)

Drift / deformation (漂移/形变)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
obs/satellite/nsidc_nsidc-0116-v4.1/	retrieval product	L3 (daily/weekly gridded)	AVHRR, SMMR, SSM/I, SSMIS, AMSR-E + IABP buoys + NCEP winds	Max cross-correlation feature tracking, optimal interpolation with buoys & wind	both	1978-11 – latest year	25 km EASE-Grid, daily/weekly	3.08 GB	✅ 完成 (done) 192/192 (100.0%)
obs/satellite/drift-deformation/mcgill-awi_rgps-deformation-composite-v1.0/	retrieval product	L3 (3-day gridded)	RADARSAT-1 SAR (RGPS)	Strain rates from RGPS Lagrangian trajectories, composited	north	1997 – 2008 (Jan–Mar)	10 km, 3-day	2.96 GB / 2.96 GB	✅ 完成 (done) 12/12 (100.0%)
obs/satellite/drift-deformation/eccc_sidrr-asits-v1.3/	retrieval product	L2/L3 (daily, SAR triangles)	Sentinel-1 SAR, RADARSAT Constellation	ECCC-ASITS SAR motion vectors → triangulated deformation/rotation	north	2017 – 2025-08	SAR triangles, daily	30.16 GB / 13.14 GB	✅ 完成 (done) 9/9 (100.0%)
obs/satellite/drift-deformation/nsidc_sar-antarctic-velocity-v2/	retrieval product	L3 (daily gridded)	Sentinel-1 SAR	Feature tracking (nansencenter sea_ice_drift) on S1 pairs	south	2015 – 2023	EASE-Grid South, daily	0.24 GB / 0.24 GB	✅ 完成 (done) 9/9 (100.0%)
obs/satellite/drift-deformation/utokyo_nh-daily-ice-velocity/	retrieval product	L3 (daily gridded)	AMSR-E, AMSR2 (36/18 GHz)	Maximum cross-correlation, 60 km template	north	2007 – 2025	60 km, daily	0.00 GB / 0.21 GB	⏳ 进行中 (in progress) 0/6 (0.0%)
obs/satellite/drift-deformation/sysu_amsr2-summer-velocity-v1.0/	retrieval product	L3 (daily gridded)	AMSR2 36.5 GHz	Continuous max cross-correlation on polarisation difference	north	2013 – 2023 (May–Sep)	daily grid (see files)	0.00 GB / 0.85 GB	⏳ 进行中 (in progress) 0/12 (0.0%)
derived-index/drift-deformation/gsfc_lagrangian-parcel-tracks-v1.0/	derived index/climatology	L4 (Lagrangian database)	PMW drift/SIC + reanalysis	Daily parcel drift tracks with coincident ice/atmosphere conditions	north	2002 – 2020 (sea-ice years)	daily trajectories	0.00 GB / 130.29 GB	⏳ 进行中 (in progress) 0/74 (0.0%)

Age / type (冰龄/冰型)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
obs/satellite/age-type/nersc_sea-ice-age-cdr-v2.1/	retrieval product	L4 (monthly gridded)	PMW via OSI SAF SIC + drift CDRs	Lagrangian advection of ice-age fractions with OSI SAF drift/SIC	north	1991 – 2024	monthly grid (see files)	0.14 GB / 0.09 GB	✅ 完成 (done) 34/34 (100.0%)
obs/satellite/age-type/nsidc_ease-iceage-early-v4.1/	retrieval product	L4 (weekly gridded)	PMW + buoys (NSIDC-0116 motion)	Lagrangian tracking, annual age classes (spin-up period)	north	1978-10 – 1983	12.5 km EASE-Grid, weekly	0.02 GB / 0.02 GB	✅ 完成 (done) 6/6 (100.0%)
obs/satellite/age-type/utokyo_nh-daily-sea-ice-age/	retrieval product	L4 (daily)	AMSR-E, AMSR2	Backward tracking with AMSR velocity + SIC → mean/oldest age	north	2007 – 2022	daily, AMSR grid (text)	0.00 GB / 4.35 GB	⏳ 进行中 (in progress) 0/12 (0.0%)
obs/satellite/age-type/sysu_arctic-ice-type-2002-2021/	retrieval product	L3 (daily gridded)	FY-3 MWRI + other PMW + scatterometer	K-means clustering → open water / FYI / MYI	north	2002 – 2021	12.5 km, daily	0.00 GB / 0.06 GB	⏳ 进行中 (in progress) 0/1 (0.0%)

Melt / albedo / temperature / surface (融化/反照率/温度/表面)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
obs/satellite/melt-albedo-temperature/gsfc_ahra-melt-onset-v5/	retrieval product	L3 (annual gridded)	SMMR, SSM/I, SSMIS	Advanced Horizontal Range Algorithm on PMW Tb time series	north	1979 – 2022	25 km, annual	0.02 GB / 0.02 GB	✅ 完成 (done) 52/52 (100.0%)
obs/satellite/melt-albedo-temperature/gapfree-arctic-albedo-v3/	retrieval product	L4 (daily gap-free)	MODIS Terra + PMW Tb	ML albedo from MODIS (melt-pond aware); gaps from albedo–Tb model	north (>60°N)	2000 – 2024 (May–Sep)	12.5 km polar stereographic, daily	0.00 GB / 1.13 GB	⏳ 进行中 (in progress) 0/25 (0.0%)
obs/satellite/melt-albedo-temperature/dmi_t2m-arctic-seaice-v0.1/	retrieval product	L4 (monthly gap-free)	AVHRR IST CDR (DMI)	T2m from sea/ice surface temperature CDR via empirical model	north	1982-01 – 2021-05	0.05°, monthly	0.00 GB / 3.62 GB	⏳ 进行中 (in progress) 0/1 (0.0%)
obs/satellite/melt-albedo-temperature/ouc_arctic-freeze-onset/	retrieval product	L3 (annual gridded)	AMSR-E, AMSR2 + NT2 SIC	Improved PMW freeze-onset algorithm	north	2003 – 2021 (no 2011–12)	12.5 km, annual	0.00 GB / 0.15 GB	⏳ 进行中 (in progress) 0/17 (0.0%)
obs/satellite/melt-albedo-temperature/sysu_ascat-form-drag/	retrieval product	L3 (daily gridded)	MetOp ASCAT	Surface form drag from scatterometer backscatter (SIC>90%)	north	2006 – 2021 (Nov–Apr)	12.5 km, daily	0.00 GB / 1.84 GB	⏳ 进行中 (in progress) 0/1 (0.0%)
reanalysis/melt-albedo-temperature/ncar_era5-skt-biascorr/	reanalysis/model	reanalysis, bias-corrected	ERA5 + ML correction	ML correction of winter clear-sky skin-temperature bias	north	1981 – 2018	ERA5 grid, monthly + climatology	0.00 GB / 1.22 GB	⏳ 进行中 (in progress) 0/39 (0.0%)
obs/satellite/melt-albedo-temperature/sysu_quikscat-form-drag/	retrieval product	L3 (daily gridded)	QuikSCAT SeaWinds	Surface form drag from scatterometer backscatter (SIC>90%)	north	1999 – 2009 (Nov–Apr)	12.5 km, daily	0.00 GB / 1.12 GB	⏳ 进行中 (in progress) 0/1 (0.0%)
obs/satellite/melt-albedo-temperature/whu_antarctic-albedo-viirs-1km-uncertainty-v1/	retrieval product	L4 (daily uncertainty)	S-NPP VIIRS	Monte Carlo + error propagation uncertainty of the 1 km albedo	south	2012 – 2021	1 km, daily	0.00 GB / 4.66 GB	⏳ 进行中 (in progress) 0/10 (0.0%)
obs/satellite/melt-albedo-temperature/whu_antarctic-albedo-viirs-1km-v2/	retrieval product	L4 (daily seamless)	S-NPP VIIRS	MBRI albedo retrieval; cloudy pixels reconstructed	south	2012 – 2021	1 km, daily	0.00 GB / 49.83 GB	⏳ 进行中 (in progress) 0/10 (0.0%)

Leads / polynya / landfast / iceberg (冰间水道/冰间湖/固定冰/冰山)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
obs/satellite/leads-polynya-landfast-iceberg/sysu_deep-aa-polynya-v1.1/	retrieval product	L4 (daily polynya maps)	AMSR-E/AMSR2 SIC & PSSM	Polynya identification/tracking on SIC thresholds (use SIC60_6.25km_20d)	south	2003 – 2022 (Apr–Oct)	6.25 km, daily	2.37 GB / 5.20 GB	⏳ 进行中 (in progress) 17/29 (58.6%)
obs/satellite/leads-polynya-landfast-iceberg/fio-ouc_arctic-landfast-weekly/	retrieval product	L3 (weekly gridded, ice-chart analysis)	US NIC ice charts (multi-sensor analyst)	Landfast ice extracted from NIC weekly/biweekly charts	north	1976 – 2026	25 km, weekly	0.00 GB / 0.02 GB	⏳ 进行中 (in progress) 0/4 (0.0%)
obs/satellite/leads-polynya-landfast-iceberg/uwm_viirs-leads-unet/	retrieval product	L3 (daily lead maps)	S-NPP VIIRS thermal IR	U-Net CNN lead detection	north	2011 – 2021 (Nov–Apr)	~1 km, daily	0.00 GB / 16.11 GB	⏳ 进行中 (in progress) 0/13 (0.0%)
obs/satellite/leads-polynya-landfast-iceberg/sxu-sysu_antarctic-icebergs-s1/	retrieval product	L3 (annual iceberg vectors)	Sentinel-1 SAR	Incremental random-forest iceberg detection + manual correction	south (<55°S)	2018-10 – 2023-10	vectors ≥0.04 km², annual	0.00 GB / 0.69 GB	⏳ 进行中 (in progress) 0/3 (0.0%)
obs/satellite/leads-polynya-landfast-iceberg/gsfc_is2-lead-fraction-v1.0/	retrieval product	L2/L3 (along-track + gridded)	ICESat-2 ATLAS (ATL07)	Lead fraction & chord length from ATL07 surface type	both	NH 2018-11–2019-04, SH 2019-05–2019-09	along-track + 25 km	0.00 GB / 0.46 GB	⏳ 进行中 (in progress) 0/14 (0.0%)
obs/satellite/leads-polynya-landfast-iceberg/uwm_modis-leads-unet/	retrieval product	L3 (daily lead maps)	Terra/Aqua MODIS thermal IR	U-Net CNN lead detection	north	2002 – 2021 (Nov–Apr)	~1 km, daily	0.00 GB / 35.35 GB	⏳ 进行中 (in progress) 0/22 (0.0%)

Brightness temperature (亮温)

产品文件夹 (product folder)	类型 (type)	级别 (level)	传感器/平台 (sensor)	方法 (method)	半球 (hemisphere)	时间 (time)	分辨率 (resolution)	大小 (size)	状态 (status)
obs/satellite/brightness-temperature/uhh_smap-l1b-tb-arctic/	obs	L1B → gridded daily Tb	SMAP radiometer (L-band)	SMAP L1B Tb gridded (40° incidence)	north	2015-04 – 2018-05	12.5 km EASE2, daily	0.00 GB / 11.27 GB	⏳ 进行中 (in progress) 0/1150 (0.0%)
obs/satellite/brightness-temperature/uhh_smos-tb40-arctic-v620/	obs	L1C → gridded daily Tb	SMOS MIRAS (L-band)	Multi-angle fit to 40° incidence, gridded	north	2015-04 – 2018-05	12.5 km EASE2, daily	0.00 GB / 13.57 GB	⏳ 进行中 (in progress) 0/1154 (0.0%)

Unmodified mirror of public Arctic and Antarctic sea-ice products (satellite observations and retrievals, reanalyses/model products, derived indices and climatologies), collected for validating CICE sea-ice model runs. Files keep their original names; every file is listed in manifest.csv (size, MD5, checksum source, original URL, classification columns, licence, verified on Hugging Face / ModelScope). catalog.csv has one row per product with the full classification and citation.

All credit belongs to the original data producers. Please cite the original products (below) and follow their licences. This mirror is not an official distribution channel; check the source for the latest versions.

Checksums: NSIDC G02202 files are checked against NSIDC .mnf manifests and all Zenodo files against the MD5 published by the Zenodo API. Other providers publish no per-file checksums, so their MD5 was computed on download after an integrity check (NetCDF/HDF opened, gzip/zip tested, TIFF/PNG/PDF magic bytes, no HTML error page). Members unpacked from Zenodo archives carry their own MD5 computed after extraction from an MD5-verified archive.

Classification and folder layout

Every product carries these fields in catalog.csv, manifest.csv and the tables below: type (data_type), category, processing level, sensor/platform, method, hemisphere, time range, resolution, version, DOI, citation, licence.

Type (data_type)

• obs: raw or L1/L2 observations (brightness temperatures, along-track L2 retrievals)
• retrieval product: L3/L4 gridded satellite geophysical products (concentration, thickness, drift, age, albedo, leads, ...)
• reanalysis/model: reanalyses, data-assimilation reconstructions and model-based products (PIOMAS, TOPAZ4-ML, NESOSIM, WASSAIL, Hadley-OI forcing)
• derived index/climatology: integrated indices, ensembles, climatologies, ice-edge contours, Lagrangian databases

Category: concentration-extent, thickness-freeboard-volume, snow, drift-deformation, age-type, melt-albedo-temperature (incl. surface roughness/drag), leads-polynya-landfast-iceberg, brightness-temperature.

Folder layout

obs/satellite/<product>/                      products mirrored before batch 4 (kept in place, not moved)
obs/satellite/<category>/<product>/           batch 4 obs + retrieval products (Zenodo)
reanalysis/<product>/                         PIOMAS (before batch 4)
reanalysis/<category>/<product>/              batch 4 reanalysis/model products
derived-index/<product>/                      NSIDC Sea Ice Index (before batch 4)
derived-index/<category>/<product>/           batch 4 indices/climatologies

Product folder names are <producer>_<product>-<version>. Unpacked Zenodo archives keep their members unchanged in a sub-folder named after the archive; archives that could not be usefully unpacked (7z, rar, multi-part zip, nested/mixed contents, shapefiles, text grids) are stored as released.

Product folders

folder	category	type	files uploaded	size (GB)
obs/satellite/age-type/nersc_sea-ice-age-cdr-v2.1/	age-type	retrieval product	34/34	0.14
obs/satellite/age-type/nsidc_ease-iceage-early-v4.1/	age-type	retrieval product	6/6	0.02
obs/satellite/age-type/sysu_arctic-ice-type-2002-2021/	age-type	retrieval product	0/1	0.00
obs/satellite/age-type/utokyo_nh-daily-sea-ice-age/	age-type	retrieval product	0/12	0.00
obs/satellite/brightness-temperature/uhh_smap-l1b-tb-arctic/	brightness-temperature	obs	0/1150	0.00
obs/satellite/brightness-temperature/uhh_smos-tb40-arctic-v620/	brightness-temperature	obs	0/1154	0.00
derived-index/concentration-extent/esr_antarctic-primary-ice-edge/	concentration-extent	derived index/climatology	0/5	0.00
derived-index/concentration-extent/ucla_antarctic-sie-recon-20c/	concentration-extent	derived index/climatology	0/6	0.00
derived-index/concentration-extent/uhh_sia-ensemble-osi450a/	concentration-extent	derived index/climatology	25/25	0.20
derived-index/concentration-extent/uhh_sie-ensemble-osi450a1/	concentration-extent	derived index/climatology	25/25	0.17
derived-index/concentration-extent/uw_arctic-sie-recon-instrumental/	concentration-extent	derived index/climatology	0/1	0.00
derived-index/nsidc_g02135-v4/	concentration-extent	derived index/climatology	16190/65866	6.49
obs/satellite/concentration-extent/caltech_modis-floe-segmentation-v2/	concentration-extent	retrieval product	0/26	0.00
obs/satellite/concentration-extent/dartmouth_is2-gridded-lif-fsd-v6/	concentration-extent	retrieval product	0/2	0.00
obs/satellite/concentration-extent/dmi_msc-sic-v0/	concentration-extent	retrieval product	0/5	0.00
obs/satellite/concentration-extent/dtu_nimbus6-scams-v1.0/	concentration-extent	retrieval product	2/2	2.09
obs/satellite/concentration-extent/snu_landsat8-sic-6.25km/	concentration-extent	retrieval product	0/12	0.00
obs/satellite/esacci_sea-ice-concentration/	concentration-extent	retrieval product	42361/42361	242.91
obs/satellite/nsidc_g02202-v6/	concentration-extent	retrieval product	2508/2508	8.85
obs/satellite/osisaf_osi-430-a/	concentration-extent	retrieval product	3564/3564	3.87
obs/satellite/osisaf_osi-430-b/	concentration-extent	retrieval product	5348/5348	30.31
obs/satellite/osisaf_osi-450-a1/	concentration-extent	retrieval product	28439/28439	31.28
obs/satellite/unibremen_amsr2-asi-6250/	concentration-extent	retrieval product	10456/10456	18.43
reanalysis/concentration-extent/ncar_hadley-oi-sst-sic-v6.1/	concentration-extent	reanalysis/model	3/3	0.95
reanalysis/concentration-extent/uclouvain_antarctic-recon-1958-2023-v2/	concentration-extent	reanalysis/model	0/54	0.00
derived-index/drift-deformation/gsfc_lagrangian-parcel-tracks-v1.0/	drift-deformation	derived index/climatology	0/74	0.00
obs/satellite/drift-deformation/eccc_sidrr-asits-v1.3/	drift-deformation	retrieval product	9/9	30.16
obs/satellite/drift-deformation/mcgill-awi_rgps-deformation-composite-v1.0/	drift-deformation	retrieval product	12/12	2.96
obs/satellite/drift-deformation/nsidc_sar-antarctic-velocity-v2/	drift-deformation	retrieval product	9/9	0.24
obs/satellite/drift-deformation/sysu_amsr2-summer-velocity-v1.0/	drift-deformation	retrieval product	0/12	0.00
obs/satellite/drift-deformation/utokyo_nh-daily-ice-velocity/	drift-deformation	retrieval product	0/6	0.00
obs/satellite/nsidc_nsidc-0116-v4.1/	drift-deformation	retrieval product	192/192	3.08
obs/satellite/leads-polynya-landfast-iceberg/fio-ouc_arctic-landfast-weekly/	leads-polynya-landfast-iceberg	retrieval product	0/4	0.00
obs/satellite/leads-polynya-landfast-iceberg/gsfc_is2-lead-fraction-v1.0/	leads-polynya-landfast-iceberg	retrieval product	0/14	0.00
obs/satellite/leads-polynya-landfast-iceberg/sxu-sysu_antarctic-icebergs-s1/	leads-polynya-landfast-iceberg	retrieval product	0/3	0.00
obs/satellite/leads-polynya-landfast-iceberg/sysu_deep-aa-polynya-v1.1/	leads-polynya-landfast-iceberg	retrieval product	17/29	2.37
obs/satellite/leads-polynya-landfast-iceberg/uwm_modis-leads-unet/	leads-polynya-landfast-iceberg	retrieval product	0/22	0.00
obs/satellite/leads-polynya-landfast-iceberg/uwm_viirs-leads-unet/	leads-polynya-landfast-iceberg	retrieval product	0/13	0.00
obs/satellite/melt-albedo-temperature/dmi_t2m-arctic-seaice-v0.1/	melt-albedo-temperature	retrieval product	0/1	0.00
obs/satellite/melt-albedo-temperature/gapfree-arctic-albedo-v3/	melt-albedo-temperature	retrieval product	0/25	0.00
obs/satellite/melt-albedo-temperature/gsfc_ahra-melt-onset-v5/	melt-albedo-temperature	retrieval product	52/52	0.02
obs/satellite/melt-albedo-temperature/ouc_arctic-freeze-onset/	melt-albedo-temperature	retrieval product	0/17	0.00
obs/satellite/melt-albedo-temperature/sysu_ascat-form-drag/	melt-albedo-temperature	retrieval product	0/1	0.00
obs/satellite/melt-albedo-temperature/sysu_quikscat-form-drag/	melt-albedo-temperature	retrieval product	0/1	0.00
obs/satellite/melt-albedo-temperature/whu_antarctic-albedo-viirs-1km-uncertainty-v1/	melt-albedo-temperature	retrieval product	0/10	0.00
obs/satellite/melt-albedo-temperature/whu_antarctic-albedo-viirs-1km-v2/	melt-albedo-temperature	retrieval product	0/10	0.00
reanalysis/melt-albedo-temperature/ncar_era5-skt-biascorr/	melt-albedo-temperature	reanalysis/model	0/39	0.00
derived-index/snow/awi_snow-clim-w99-amsr2-v1.0/	snow	derived index/climatology	0/7	0.00
obs/satellite/snow/adasa_amsr2-snowdepth-v1/	snow	retrieval product	0/1	0.00
obs/satellite/snow/legos_laku-snowdepth-v1/	snow	retrieval product	0/21	0.00
obs/satellite/snow/sysu_snowdepth-amsr-2002-2024/	snow	retrieval product	23/23	19.48
obs/satellite/snow/sysu_snowdepth-pmw-1978-2025/	snow	retrieval product	1/1	0.88
reanalysis/snow/eccc_nesosim-mcmc/	snow	reanalysis/model	8/8	4.68
reanalysis/snow/nasa_nesosim-v1.1/	snow	reanalysis/model	45/45	2.11
reanalysis/snow/uw_wassail-v1.0.0/	snow	reanalysis/model	0/13	0.00
derived-index/thickness-freeboard-volume/legos_sivol-cdr-v2/	thickness-freeboard-volume	derived index/climatology	16/16	0.01
obs/satellite/awi_cs2smos/	thickness-freeboard-volume	retrieval product	2935/2935	4.61
obs/satellite/esacci_sea-ice-thickness/	thickness-freeboard-volume	retrieval product	504/504	0.84
obs/satellite/jpl_sits-gnssr-l3-antarctic-v1.0/	thickness-freeboard-volume	retrieval product	134/134	1.27
obs/satellite/jpl_sits-gnssr-l3-arctic-v1.0/	thickness-freeboard-volume	retrieval product	307/307	3.67
obs/satellite/norce-tum_gnssr-freeboard-nh-v1.1/	thickness-freeboard-volume	retrieval product	7/7	0.00
obs/satellite/nsidc_atl20-v005/	thickness-freeboard-volume	retrieval product	186/186	0.58
obs/satellite/thickness-freeboard-volume/dmi_cs2-tfmra50-sit-2011-2022-v2/	thickness-freeboard-volume	retrieval product	0/1	0.00
obs/satellite/thickness-freeboard-volume/gsfc_cs2wfa-antarctic-v0.1.1/	thickness-freeboard-volume	retrieval product	134/134	0.28
obs/satellite/thickness-freeboard-volume/jpl_sits-gnssr-l2-antarctic-v1.0/	thickness-freeboard-volume	obs	0/8	0.00
obs/satellite/thickness-freeboard-volume/jpl_sits-gnssr-l2-arctic-v1.0/	thickness-freeboard-volume	obs	0/8	0.00
obs/satellite/thickness-freeboard-volume/kochi-utokyo_nh-daily-sit-thermo/	thickness-freeboard-volume	retrieval product	31/31	5.34
obs/satellite/thickness-freeboard-volume/legos_radar-freeboard-nh-v1.1/	thickness-freeboard-volume	retrieval product	4/4	2.63
obs/satellite/thickness-freeboard-volume/legos_sit-cdr-ers-envisat-cs2-v2/	thickness-freeboard-volume	retrieval product	74/74	6.51
obs/satellite/thickness-freeboard-volume/legos_sit-cdr-sh-amsrsnow/	thickness-freeboard-volume	retrieval product	37/37	4.99
obs/satellite/thickness-freeboard-volume/lerma_pmw-sit-ssmi-v1.0/	thickness-freeboard-volume	retrieval product	0/1	0.00
obs/satellite/thickness-freeboard-volume/norce-awi_dasit-75km-octapr/	thickness-freeboard-volume	retrieval product	0/20	0.00
obs/satellite/thickness-freeboard-volume/norce_dasit-v100/	thickness-freeboard-volume	retrieval product	0/2	0.00
obs/satellite/thickness-freeboard-volume/tju_ice-3d-ml-sit/	thickness-freeboard-volume	retrieval product	0/24	0.00
obs/satellite/thickness-freeboard-volume/ucl_daily-pan-arctic-sit/	thickness-freeboard-volume	retrieval product	0/33	0.00
obs/satellite/thickness-freeboard-volume/ucl_s3-narrs-v1.0.0/	thickness-freeboard-volume	obs	0/2	0.00
obs/satellite/thickness-freeboard-volume/uhh_smos-smap-sit-v1.0/	thickness-freeboard-volume	retrieval product	577/577	6.20
obs/satellite/thickness-freeboard-volume/umd_is2sit-summer-v1/	thickness-freeboard-volume	retrieval product	33/33	0.27
obs/satellite/thickness-freeboard-volume/umd_is2smgpsit-v1/	thickness-freeboard-volume	retrieval product	54/54	8.12
obs/satellite/thickness-freeboard-volume/whu_arctic-sit-5km-v1.0/	thickness-freeboard-volume	retrieval product	1/1	1.70
reanalysis/psc_piomas-v2.1/	thickness-freeboard-volume	reanalysis/model	449/449	2.43
reanalysis/thickness-freeboard-volume/nersc_topaz4-ml-sit/	thickness-freeboard-volume	reanalysis/model	0/32	0.00

Products and citations

Concentration / extent (密集度/范围)

obs/satellite/osisaf_osi-450-a1/ - EUMETSAT OSI SAF Global Sea Ice Concentration CDR v3.1 (OSI-450-a1)

• Type / level: retrieval product / L4 (daily gridded, gap-filled CDR)
• Sensor / platform: SMMR, SSM/I, SSMIS
• Method: Hybrid dynamic-tie-point PMW algorithm + RTM atmospheric correction
• Hemisphere / time / resolution: both / 1978-10 – 2020-12 / 25 km EASE2, daily/monthly
• Version: v3.1
• DOI / reference: 10.15770/EUM_SAF_OSI_0013
• Licence: Free and open; attribution to EUMETSAT OSI SAF required (served by MET Norway THREDDS under NLOD and CC BY 4.0).
• Citation: OSI SAF (2025): Global Sea Ice Concentration Climate Data Record v3.1, OSI-450-a1, EUMETSAT Ocean and Sea Ice Satellite Application Facility, doi:10.15770/EUM_SAF_OSI_0013. Lavergne, T. et al. (2019), The Cryosphere 13, 49-78, doi:10.5194/tc-13-49-2019.
• Coverage in this mirror: NH+SH, EASE2 25 km. Daily files full record 1978-10-25..2020-12-31; monthly and yearly means full record 1978-2020.
• Subsetting decision: OSI-450-a1 v3.1 (current release). Full daily record mirrored (backfill of 1978-2004 and 2010-2020 added 2026-10). Continued by OSI-430-a (2021-2025-09).
• Source: https://thredds.met.no/thredds/catalog/osisaf/met.no/reprocessed/ice/conc_450a1_files/catalog.html

obs/satellite/unibremen_amsr2-asi-6250/ - University of Bremen AMSR2 ASI sea ice concentration 6.25 km v5.4

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: AMSR2 (GCOM-W1)
• Method: ASI algorithm, 89 GHz polarisation difference
• Hemisphere / time / resolution: both / 2012-07 – present / 6.25 km polar stereographic, daily
• Version: v5.4
• DOI / reference: 10.1594/PANGAEA.898399 (Arctic), 10.1594/PANGAEA.898400 (Antarctic)
• Licence: Free for use with citation; PANGAEA editions are CC-BY-4.0.
• Citation: Spreen, G., Kaleschke, L., Heygster, G. (2008): Sea ice remote sensing using AMSR-E 89 GHz channels, J. Geophys. Res. 113, C02S03, doi:10.1029/2005JC003384. Melsheimer, C., Spreen, G. (2019): AMSR2 ASI sea ice concentration data, Arctic/Antarctic, version 5.4, PANGAEA.
• Coverage in this mirror: NH (n6250) + SH (s6250) polar stereographic 6.25 km, daily NetCDF, 2012-07..present (as of mirror date).
• Subsetting decision: AMSR2 starts July 2012 (no 2005-2009 coverage). Full daily record taken because the NetCDF daily files are small (~1.2 MB NH, ~0.6 MB SH; ~9 GB total). Only the netcdf/ subfolders (v5.4) are mirrored; HDF/GeoTIFF/PNG duplicates of the same fields were skipped.
• Source: https://data.seaice.uni-bremen.de/amsr2/asi_daygrid_swath/

derived-index/nsidc_g02135-v4/ - NOAA/NSIDC Sea Ice Index, Version 4 (G02135)

• Type / level: derived index/climatology / L4 index (extent/area tables + maps)
• Sensor / platform: SMMR, SSM/I, SSMIS
• Method: NASA Team SIC → extent (≥15%) / area, daily & monthly, regional
• Hemisphere / time / resolution: both / 1978-11 – present / 25 km polar stereographic; tables
• Version: v4
• DOI / reference: 10.7265/a98x-0f50
• Licence: No restrictions on use; please cite.
• Citation: Fetterer, F., Knowles, K., Meier, W. N., Savoie, M., Windnagel, A. K., Stafford, T. (2025). Sea Ice Index (G02135, Version 4). NSIDC, Boulder, CO. doi:10.7265/a98x-0f50.
• Coverage in this mirror: NH+SH, 1978-present. Daily and monthly extent/area tables (CSV), regional spreadsheets, monthly GeoTIFFs and daily concentration/extent GeoTIFFs (25 km).
• Subsetting decision: Full record of data/, seaice_analysis/, monthly and daily GeoTIFFs. Images (PNG) and shapefiles skipped.
• Source: https://noaadata.apps.nsidc.org/NOAA/G02135/

obs/satellite/esacci_sea-ice-concentration/ - ESA Sea Ice CCI High(er)-Resolution Sea Ice Concentration CDR v3.0 (SSM/I & SSMIS, 12.5 km)

• Type / level: retrieval product / L4 (daily gridded CDR)
• Sensor / platform: SSM/I, SSMIS, AMSR-E, AMSR2
• Method: SICCI hybrid algorithm with dynamic tie-points + RTM correction
• Hemisphere / time / resolution: both / 1991/2002 – 2020 (SSMI 12.5 km v3.0; AMSR 25/50 km v2.1 2002–2017) / 12.5 / 25 / 50 km EASE2, daily
• Version: v3.0 / v2.1
• DOI / reference: 10.5285/eade27004395466aaa006135e1b2ad1a
• Licence: ESA CCI open data policy (CEDA permitted use: any), citation required.
• Citation: Lavergne, T., Sorensen, A., Tonboe, R. T., Kreiner, M., Saldo, R., Birkedal, A., Baordo, F., Aspenes, T., Eastwood, S. (2023): ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): High(er) Resolution Sea Ice Concentration Climate Data Record Version 3 (SSM/I and SSMIS). NERC EDS CEDA. doi:10.5285/eade27004395466aaa006135e1b2ad1a.
• Coverage in this mirror: NH+SH daily. SSMI/SSMIS 12.5 km v3.0 full record (L4/ssmi_ssmis/12.5km/v3.0); AMSR-E/AMSR2 25 km and 50 km v2.1, 2002-2017 (L4/amsr/*/v2.1).
• Subsetting decision: Full v3.0 record (backfilled 2026-10) and full AMSR v2.1 25/50 km record. Older v2.0 AMSR and phase-1 products skipped (superseded).
• Source: https://dap.ceda.ac.uk/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/ssmi_ssmis/12.5km/v3.0/

obs/satellite/nsidc_g02202-v6/ - NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 6 (G02202)

• Type / level: retrieval product / L3 (daily/monthly gridded CDR)
• Sensor / platform: SMMR, SSM/I, SSMIS
• Method: CDR = max of NASA Team and Bootstrap SIC
• Hemisphere / time / resolution: both / 1978-10 – present / 25 km polar stereographic, daily/monthly
• Version: v6
• DOI / reference: see https://nsidc.org/data/g02202/versions/6 for the Version 6 DOI
• Licence: No restrictions on use (NOAA open data); please cite.
• Citation: Meier, W. N., Fetterer, F., Windnagel, A. K., Stewart, J. S. (2025). NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 6 (G02202). NSIDC, Boulder, CO.
• Coverage in this mirror: NH (psn25) + SH (pss25), 25 km polar stereographic, 1978-10 to present: yearly aggregate files containing all daily fields, plus monthly files, ancillary masks and NSIDC .mnf checksum manifests.
• Subsetting decision: Version 6 is the current release (v5 is no longer on the public server). It is served publicly by NOAA@NSIDC without Earthdata login. Full record via the yearly aggregate files (8.3 GB) + monthly (0.45 GB); the individual daily files (~15 GB) are exact duplicates of the aggregates and were skipped. Every NetCDF was verified against the NSIDC-provided MD5 (.mnf).
• Source: https://noaadata.apps.nsidc.org/NOAA/G02202_V6/

obs/satellite/osisaf_osi-430-a/ - EUMETSAT OSI SAF Sea Ice Concentration ICDR v3.0 (OSI-430-a)

• Type / level: retrieval product / L4 (daily gridded ICDR)
• Sensor / platform: SSMIS
• Method: OSI-450-a1 algorithm continued (interim CDR)
• Hemisphere / time / resolution: both / 2021-01 – 2025-09 / 25 km EASE2, daily/monthly
• Version: v3.0
• DOI / reference: 10.15770/EUM_SAF_OSI_0014
• Licence: Free and open; attribution to EUMETSAT OSI SAF required (served by MET Norway THREDDS under NLOD and CC BY 4.0).
• Citation: OSI SAF: Global Sea Ice Concentration Interim Climate Data Record v3.0 (OSI-430-a), EUMETSAT OSI SAF.
• Coverage in this mirror: NH+SH, EASE2 25 km, daily 2021-01-01..2025-09-30 (production stopped 2025-09-30) plus monthly/yearly means.
• Subsetting decision: Full record mirrored. Extends OSI-450-a1 beyond 2020.
• Source: https://thredds.met.no/thredds/catalog/osisaf/met.no/reprocessed/ice/conc_cra_files/catalog.html

obs/satellite/osisaf_osi-430-b/ - EUMETSAT OSI SAF Sea Ice Concentration ICDR v2.0 (OSI-430-b, deprecated)

• Type / level: retrieval product / L4 (daily gridded ICDR, deprecated)
• Sensor / platform: SSMIS
• Method: OSI-450 v2 algorithm continued (interim CDR)
• Hemisphere / time / resolution: both / 2016 – 2023-05 / 25 km EASE2, daily
• Version: v2.0
• DOI / reference: 10.15770/EUM_SAF_OSI_NRT_2008
• Licence: Free and open; attribution to EUMETSAT OSI SAF required (served by MET Norway THREDDS under NLOD and CC BY 4.0).
• Citation: OSI SAF: Global Sea Ice Concentration Interim Climate Data Record v2.0 (OSI-430-b), EUMETSAT OSI SAF.
• Coverage in this mirror: NH+SH, EASE2 25 km, daily 2016..2023-05.
• Subsetting decision: Deprecated (superseded by OSI-450-a1/OSI-430-a); full record mirrored on request for completeness.
• Source: https://thredds.met.no/thredds/catalog/osisaf/met.no/reprocessed/ice/conc_crb_files/catalog.html

obs/satellite/concentration-extent/dtu_nimbus6-scams-v1.0/ - Sea Ice dataset for the NIMBUS-6 Scanning Microwave Spectrometer (SCAMS) data from 1975 and 1976, version 1.0 (v1.0)

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: Nimbus-6 SCAMS (22.2/31.7 GHz)
• Method: SIC and ice type from 22.235/31.65 GHz Tb
• Hemisphere / time / resolution: both / 1975-06 – 1976-06 / daily grid (see files)
• Version: v1.0
• DOI / reference: 10.5281/zenodo.15109768 (version; concept 10.5281/zenodo.15109767)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Kolbe, Wiebke Margitta; Tonboe, Rasmus Tage (2025): Sea Ice dataset for the NIMBUS-6 Scanning Microwave Spectrometer (SCAMS) data from 1975 and 1976, version 1.0 (Version v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15109768
• Coverage in this mirror: both; 1975-06 – 1976-06; daily grid (see files). Zenodo record(s) total 2 files, 2.09 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/15109768

reanalysis/concentration-extent/ncar_hadley-oi-sst-sic-v6.1/ - Merged Hadley-OI sea surface temperature and sea ice concentration data set (6.1)

• Type / level: reanalysis/model / L4 analysis (model forcing)
• Sensor / platform: HadISST1 (in situ + satellite) + NOAA OI.v2
• Method: Merged HadISST1/OI.v2 SST & SIC, anomaly-based blending (CAM AMIP forcing)
• Hemisphere / time / resolution: both (global) / 1870-01 – 2022-06 / 1°, monthly
• Version: v6.1
• DOI / reference: 10.5281/zenodo.15501326 (version; concept 10.5281/zenodo.15501325)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Shea, Dennis; Hurrell, Jim; Phillips, Adam (2024): Merged Hadley-OI sea surface temperature and sea ice concentration data set (Version 6.1) [Data set]. Zenodo. https://doi.org/10.5065/r33v-sv91
• Coverage in this mirror: both (global); 1870-01 – 2022-06; 1°, monthly. Zenodo record(s) total 3 files, 0.95 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/15501326

derived-index/concentration-extent/uhh_sie-ensemble-osi450a1/ - Sea Ice Extent Ensemble for Uncertainty Quantification

• Type / level: derived index/climatology / L4 index (extent ensemble)
• Sensor / platform: SMMR, SSM/I, SSMIS (OSI-450-a1)
• Method: SIE (SIC≥15%) with 50-member correlated-noise ensemble
• Hemisphere / time / resolution: both (+regions) / 1978 – 2020 / daily regional totals (CSV)
• Version: 2026-08 release
• DOI / reference: 10.5281/zenodo.21793108 (version; concept 10.5281/zenodo.21793107)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Wernecke, Andreas (2026): Sea Ice Extent Ensemble for Uncertainty Quantification [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21793108
• Coverage in this mirror: both (+regions); 1978 – 2020; daily regional totals (CSV). Zenodo record(s) total 25 files, 0.17 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/21793108

derived-index/concentration-extent/uhh_sia-ensemble-osi450a/ - Sea Ice Area Ensemble for Uncertainty Quantification

• Type / level: derived index/climatology / L4 index (area ensemble)
• Sensor / platform: SMMR, SSM/I, SSMIS (OSI-450a)
• Method: SIA with 50-member correlated-noise ensemble
• Hemisphere / time / resolution: both (+regions) / 1978 – 2020 / daily regional totals (CSV)
• Version: 2025-10 release
• DOI / reference: 10.5281/zenodo.17464351 (version; concept 10.5281/zenodo.17464350)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Wernecke, Andreas (2025): Sea Ice Area Ensemble for Uncertainty Quantification [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17464351
• Coverage in this mirror: both (+regions); 1978 – 2020; daily regional totals (CSV). Zenodo record(s) total 25 files, 0.20 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17464351

obs/satellite/concentration-extent/dartmouth_is2-gridded-lif-fsd-v6/ - Gridded sea ice concentration, floe size distribution, and wave data from the ICESat-2 altimeter: October 2018-December 2024.

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: ICESat-2 ATLAS
• Method: Along-track ice/water class → linear ice fraction, floe size, waves
• Hemisphere / time / resolution: both / 2018-10 – 2024-12 / 25 km, monthly
• Version: v6 files
• DOI / reference: 10.5281/zenodo.17305285 (version; concept 10.5281/zenodo.17305284)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Horvat, Christopher; Buckley, Ellen (2025): Gridded sea ice concentration, floe size distribution, and wave data from the ICESat-2 altimeter: October 2018-December 2024. [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17305285
• Coverage in this mirror: both; 2018-10 – 2024-12; 25 km, monthly. Zenodo record(s) total 2 files, 2.90 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17305285

derived-index/concentration-extent/esr_antarctic-primary-ice-edge/ - Primary Sea Ice Edge from Satellite Passive Microwave Observations

• Type / level: derived index/climatology / L4 index (ice-edge contours)
• Sensor / platform: SSM/I, AMSR-E, AMSR2
• Method: Northernmost 15% SIC contour (NT2/ARTIST), smoothed/unsmoothed
• Hemisphere / time / resolution: south / SSM/I – AMSR2 eras (see files) / daily contours (MATLAB)
• Version: 2023-11 release
• DOI / reference: 10.5281/zenodo.10140318 (version; concept 10.5281/zenodo.3669405)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Springer, Scott; Padman, Laurence; Howard, Susan (2023): Primary Sea Ice Edge from Satellite Passive Microwave Observations [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10140318
• Coverage in this mirror: south; SSM/I – AMSR2 eras (see files); daily contours (MATLAB). Zenodo record(s) total 5 files, 1.99 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/10140318

obs/satellite/concentration-extent/snu_landsat8-sic-6.25km/ - Arctic sea ice concentration data record in 6.25 km polar stereographic grid from three-year Landsat-8 imagery

• Type / level: retrieval product / L3 (gridded scenes)
• Sensor / platform: Landsat-8 OLI
• Method: 30 m ice/water classification aggregated to 6.25 km SIC
• Hemisphere / time / resolution: north (12 regions) / three years of Landsat-8 (see files) / 6.25 km polar stereographic
• Version: 2024-04 release
• DOI / reference: 10.5281/zenodo.12750969 (version; concept 10.5281/zenodo.10973297)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Jung, Hee-Sung; Lee, Sang-Moo; Kim, Joo-Hong; Lee, Kyungsoo (2024): Arctic sea ice concentration data record in 6.25 km polar stereographic grid from three-year Landsat-8 imagery [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12750969
• Coverage in this mirror: north (12 regions); three years of Landsat-8 (see files); 6.25 km polar stereographic. Zenodo record(s) total 12 files, 0.27 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/12750969

obs/satellite/concentration-extent/caltech_modis-floe-segmentation-v2/ - Ice Floe Segmentation of MODIS imagery version 2 (2)

• Type / level: retrieval product / L3 (daily floe maps)
• Sensor / platform: MODIS Terra true colour
• Method: Floe segmentation → floe properties, SIC, floe-size distribution
• Hemisphere / time / resolution: north (Beaufort Sea) / 2000 – 2022 (Mar–Sep) / 256 m, daily
• Version: v2
• DOI / reference: 10.5281/zenodo.22885838 (version; concept 10.5281/zenodo.11553699)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Buckley, Ellen; Wilhelmus, Monica (2026): Ice Floe Segmentation of MODIS imagery version 2 (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22885838
• Coverage in this mirror: north (Beaufort Sea); 2000 – 2022 (Mar–Sep); 256 m, daily. Zenodo record(s) total 26 files, 2.17 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/22885838

reanalysis/concentration-extent/uclouvain_antarctic-recon-1958-2023-v2/ - Antarctic sea ice reconstructions over 1958-2023 (Version 2 includes the ensemble mean)

• Type / level: reanalysis/model / reconstruction (data assimilation)
• Sensor / platform: 9 ESM priors + station/ice-core data
• Method: Data-assimilation reconstruction, annual anomalies + uncertainty
• Hemisphere / time / resolution: south / 1958 – 2023 / annual fields
• Version: Version 2
• DOI / reference: 10.5281/zenodo.13861997 (version; concept 10.5281/zenodo.13828874)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Dalaiden, Quentin; Goosse, Hugues (2024): Antarctic sea ice reconstructions over 1958-2023 (Version Version 2 includes the ensemble mean) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13861997
• Coverage in this mirror: south; 1958 – 2023; annual fields. Zenodo record(s) total 54 files, 0.46 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/13861997

derived-index/concentration-extent/ucla_antarctic-sie-recon-20c/ - 20th Century Antarctic sea ice extent anomaly reconstruction by sector (1.0)

• Type / level: derived index/climatology / L4 index (reconstruction)
• Sensor / platform: statistical reconstruction
• Method: Sector SIE anomaly reconstruction, 2500 members
• Hemisphere / time / resolution: south (sectors) / 20th century / monthly (CSV)
• Version: v1.0
• DOI / reference: 10.5281/zenodo.7971734 (version; concept 10.5281/zenodo.7971733)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Thomas Maierhofer; Raphael, Marilyn; Handcock, Mark (2023): 20th Century Antarctic sea ice extent anomaly reconstruction by sector (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7971734
• Coverage in this mirror: south (sectors); 20th century; monthly (CSV). Zenodo record(s) total 6 files, 0.41 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/7971734

derived-index/concentration-extent/uw_arctic-sie-recon-instrumental/ - Total Arctic sea ice extent during the Instrumental Era (1)

• Type / level: derived index/climatology / L4 index (reconstruction)
• Sensor / platform: CCSM4/MPI priors + HadCRUT/BE/GISTEMP
• Method: Data-assimilation reconstructions of total Arctic SIE
• Hemisphere / time / resolution: north / instrumental era (see file) / annual totals
• Version: v1
• DOI / reference: 10.5281/zenodo.3717240 (version; concept 10.5281/zenodo.3717239)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Brennan, M. Kathleen; Hakim, Gregory J.; Blanchard-Wrigglesworth, Edward (2020): Total Arctic sea ice extent during the Instrumental Era (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3717240
• Coverage in this mirror: north; instrumental era (see file); annual totals. Zenodo record(s) total 1 files, 0.01 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/3717240

obs/satellite/concentration-extent/dmi_msc-sic-v0/ - Danish Meteorological Institute Multisource Sea Ice Concentration Composite (DMI-MSC-SIC) (v0)

• Type / level: retrieval product / L4 (daily gap-free composite)
• Sensor / platform: SMMR/SSMI/SSMIS, AMSR-E/AMSR2 + NIC/FMI/SMHI ice charts
• Method: Multi-source composite (OSI-450-a, SICCI-HR, OSI-458, charts), bias-corrected, gap-filled
• Hemisphere / time / resolution: both (global) / 1982-01 – 2024-12 / 0.05° lat/lon, daily
• Version: v0
• DOI / reference: 10.5281/zenodo.17100178 (version; concept 10.5281/zenodo.17100177)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Olsen, Ida Lundtorp; Nielsen-Englyst, Pia (2025): Danish Meteorological Institute Multisource Sea Ice Concentration Composite (DMI-MSC-SIC) (Version v0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17100178
• Coverage in this mirror: both (global); 1982-01 – 2024-12; 0.05° lat/lon, daily. Zenodo record(s) total 5 files, 141.30 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17100178

Thickness / freeboard / volume (厚度/干舷/体积)

obs/satellite/awi_cs2smos/ - AWI CryoSat-2/SMOS merged sea ice thickness (CS2SMOS) v2.06

• Type / level: retrieval product / L4 (weekly merged)
• Sensor / platform: CryoSat-2 SIRAL + SMOS MIRAS
• Method: Optimal interpolation of CS-2 radar-freeboard SIT and SMOS thin-ice SIT
• Hemisphere / time / resolution: north / 2010-11 – 2025-04 (Oct–Apr) / 25 km EASE2, weekly
• Version: v2.06
• DOI / reference: (no dataset DOI; reference Ricker et al. 2017, doi:10.5194/tc-11-1607-2017)
• Licence: Free and anonymous access; acknowledgement required: 'The production of the merged CryoSat-SMOS sea ice thickness data was funded by the ESA project SMOS & CryoSat-2 Sea Ice Data Product Processing and Dissemination Service, and data from DATE to DATE were obtained from AWI.'
• Citation: Ricker, R., Hendricks, S., Kaleschke, L., Tian-Kunze, X., King, J., Haas, C. (2017): A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data, The Cryosphere 11, 1607-1623, doi:10.5194/tc-11-1607-2017.
• Coverage in this mirror: NH only (Arctic), weekly 25 km EASE2, winter months (Oct-Apr) from 2010/11 to 2024/25; 'r' = reprocessed, 'o' = operational files.
• Subsetting decision: CS2SMOS starts in late 2010 (CryoSat-2 + SMOS), so it does NOT cover the 2005-2009 CICE test period. Full v206 record mirrored (small). The newer v300 (CS3SMOS, from 2025/26) was not found on the portal at mirror time.
• Source: https://data.seaiceportal.de/data/cs2smos_awi/v206/

reanalysis/psc_piomas-v2.1/ - PIOMAS (Pan-Arctic Ice Ocean Modeling and Assimilation System) v2.1 thickness and volume

• Type / level: reanalysis/model / model reanalysis
• Sensor / platform: PIOMAS ice-ocean model (assimilates SIC, SST)
• Method: Coupled ice-ocean model with SIC/SST assimilation, NCEP forcing
• Hemisphere / time / resolution: north / 1978 – present / PIOMAS grid 360×120, daily/monthly
• Version: v2.1
• DOI / reference: (no dataset DOI; references below)
• Licence: Freely provided by the Polar Science Center, APL/UW; please cite. Note PIOMAS is a model reanalysis, not a direct observation.
• Citation: Zhang, J., Rothrock, D. A. (2003): Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates, Mon. Wea. Rev. 131, 845-861. Schweiger, A. et al. (2011): Uncertainty in modeled Arctic sea ice volume, J. Geophys. Res. 116, C00D06, doi:10.1029/2011JC007084.
• Coverage in this mirror: Arctic, PIOMAS model grid (360x120), 1978-present. heff = monthly mean effective thickness; hiday = daily thickness; area = monthly/daily concentration; plus daily/monthly volume and mean-thickness time series and grid/reader utilities.
• Subsetting decision: Full record of the thickness (heff, hiday), area and volume products. Other PIOMAS fields (ocean T/S/velocity, snow, ice velocity, forcing) were skipped as out of scope.
• Source: https://pscfiles.apl.washington.edu/zhang/PIOMAS/data/v2.1/ and https://psc.apl.uw.edu/research/projects/arctic-sea-ice-volume-anomaly/data/

obs/satellite/esacci_sea-ice-thickness/ - ESA Sea Ice CCI sea ice thickness L3C v4.0 (ERS-2, Envisat, CryoSat-2)

• Type / level: retrieval product / L3C (monthly gridded)
• Sensor / platform: ERS-2 RA, Envisat RA-2, CryoSat-2 SIRAL
• Method: Radar freeboard + W99m/AMSR snow, hydrostatic equilibrium
• Hemisphere / time / resolution: both / ERS-2 1990s–2003, Envisat 2002–2012, CS-2 2010–2024 / 25 km EASE2 (NH) / 50 km (SH), monthly
• Version: v4.0
• DOI / reference: CEDA records: Envisat NH 10.5285/a0120f31bcd94f8da74ddfebe658773d, CryoSat-2 NH 10.5285/887ebbe3aa4345f3bbcbe2dd1834d955 (see catalogue.ceda.ac.uk for SH/ERS-2 records)
• Licence: ESA CCI open data policy (CEDA permitted use: any), citation required.
• Citation: Hendricks, S., Paul, S., Rinne, E. (2025): ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): sea ice thickness from Envisat / CryoSat-2 / ERS-2 on a monthly grid (L3C), v4.0. NERC EDS CEDA.
• Coverage in this mirror: Monthly L3C grids. Envisat NH+SH 2002-2012, CryoSat-2 NH+SH 2010-2024, ERS-2 NH 1990s-2003. Covers 2005-2009 via Envisat.
• Subsetting decision: Only the latest version v4.0 mirrored (full record, <1 GB). Older v2.0/v3.0, L2P along-track and the drift-aware thickness product were skipped.
• Source: https://dap.ceda.ac.uk/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/

obs/satellite/nsidc_atl20-v005/ - ICESat-2 ATL20 Daily and Monthly Gridded Sea Ice Freeboard, Version 5

• Type / level: retrieval product / L3B (gridded)
• Sensor / platform: ICESat-2 ATLAS
• Method: ATL10 laser total freeboard gridded daily/monthly
• Hemisphere / time / resolution: both / 2018-10 – present / 25 km polar stereographic, daily/monthly
• Version: v005
• DOI / reference: 10.5067/ATLAS/ATL20.005
• Licence: NASA open data policy, no restrictions; please cite.
• Citation: Petty, A. A., Kurtz, N. T., Kwok, R., Markus, T., Neumann, T. A., Keeney, N. (2023). ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard, Version 5 (ATL20). NASA NSIDC DAAC. doi:10.5067/ATLAS/ATL20.005.
• Coverage in this mirror: NH (ATL20-01) + SH (ATL20-02), 25 km, monthly granules (with daily fields inside), 2018-10 to present.
• Subsetting decision: ICESat-2 starts in Oct 2018 (no 2005-2009 coverage). Full record taken (gridded product, small). ATL10 along-track freeboard was skipped (very large); ATL20 is the gridded product.
• Source: https://data.nsidc.earthdatacloud.nasa.gov/nsidc-cumulus-prod-protected/ATLAS/ATL20/005/ (Earthdata login)

obs/satellite/jpl_sits-gnssr-l3-antarctic-v1.0/ - SITS Level-3 Antarctic GNSS-R Sea-Ice Thickness Products, Version 1.0 (JPL / Univ. of Hawaii, Spire GNSS-R)

• Type / level: retrieval product / L3 (7-day gridded)
• Sensor / platform: Spire GNSS-R (grazing + near-nadir)
• Method: GNSS-R reflectivity → thickness, multi-observable combination
• Hemisphere / time / resolution: south / 2022-10 – 2024-01 / 12.5 km EASE2 South, 7-day
• Version: v1.0
• DOI / reference: 10.5281/zenodo.23248278 (version), concept DOI 10.5281/zenodo.23248277
• Licence: CC BY 4.0 (Zenodo record licence). Note: the producers' README says the final rights statement was to be approved separately with attention to commercial Spire source data and NASA CSDA data-use terms; the published Zenodo licence is CC BY 4.0.
• Citation: Rodriguez-Alvarez, N., Kim, S. (2026): SITS Level-3 Antarctic GNSS-R Sea-Ice Thickness Products, Version 1.0 [Data set], Zenodo, doi:10.5281/zenodo.23248278. Method: Kim, S., Rodriguez-Alvarez, N., Oudrhiri, K. (2026): Sea-Ice Thickness Retrieval Using Integrated Grazing-Angle and Near-Nadir GNSS-R Reflectivity From the Spire Constellation, IEEE Trans. Geosci. Remote Sens. 64, 5802117, doi:10.1109/TGRS.2026.3714677. Funded by NASA CSDA (ROSES NNH22ZDA001N-A.44, Task Order 80NM0018F0617).
• Coverage in this mirror: SH only, EASE-Grid 2.0 South (EPSG:6932) 560x560, 12.5 km. 65 consecutive non-overlapping 7-day windows 2022-10-15 to 2024-01-12, in two families: combined (multi-observable SIT, salinity, relative density, availability/used masks) and single (SIT/salinity/density per GNSS-R type RCS, NRCS, GRZ L1, GRZ L2). 130 NetCDF + 4 docs, 1.27 GB.
• Subsetting decision: Full record mirrored. The two Zenodo ZIPs (product_L3_Antarctic_combined_v100.zip, product_L3_Antarctic_single_v100.zip) were MD5-checked against Zenodo, then unpacked: the NetCDF members are stored unchanged (original names, zip CRC verified) under product_L3_Antarctic_combined/ and product_L3_Antarctic_single/. Producer README / processing description / data dictionary / file inventory are included. No SIT uncertainty or reflectivity fields in the Antarctic release. Packing caveat: science variables are int32 with scale_factor=0.001 in the files, but decoded values are 1000x too large (e.g. SIT up to ~4800 'm'); divide decoded SIT/salinity/density by a further 1000 (effective scale 1e-6; SIT 0-5 m, relative density ~0.84-1.2). Spire_L1B_available/used are int8 bit masks (1=RCS,2=NRCS,4=GRZ L1,8=GRZ L2) with _FillValue=0 that is also the valid zero state. Grid CRS is not in the files (use the EPSG code above); filename token '12km' means 12.5 km.
• Source: https://zenodo.org/records/23248278

obs/satellite/jpl_sits-gnssr-l3-arctic-v1.0/ - SITS Level-3 Arctic GNSS-R Sea-Ice Thickness Products, Version 1.0 (JPL / Univ. of Hawaii, Spire GNSS-R)

• Type / level: retrieval product / L3 (7-day gridded)
• Sensor / platform: Spire GNSS-R (grazing + near-nadir)
• Method: GNSS-R reflectivity → thickness, multi-observable combination
• Hemisphere / time / resolution: north / 2022-10 – 2024-01 (winters) / 12.5 km EASE2 North, 7-day
• Version: v1.0
• DOI / reference: 10.5281/zenodo.23248136 (version), concept DOI 10.5281/zenodo.23248135
• Licence: CC BY 4.0 (Zenodo record licence). Note: the producers' README says the final rights statement was to be approved separately with attention to commercial Spire source data and NASA CSDA data-use terms; the published Zenodo licence is CC BY 4.0.
• Citation: Rodriguez-Alvarez, N., Kim, S. (2026): SITS Level-3 Arctic GNSS-R Sea-Ice Thickness Products, Version 1.0 [Data set], Zenodo, doi:10.5281/zenodo.23248136. Method: Kim, S., Rodriguez-Alvarez, N., Oudrhiri, K. (2026): Sea-Ice Thickness Retrieval Using Integrated Grazing-Angle and Near-Nadir GNSS-R Reflectivity From the Spire Constellation, IEEE Trans. Geosci. Remote Sens. 64, 5802117, doi:10.1109/TGRS.2026.3714677. Funded by NASA CSDA (ROSES NNH22ZDA001N-A.44, Task Order 80NM0018F0617).
• Coverage in this mirror: NH only, EASE-Grid 2.0 North (EPSG:6931) 720x720, 12.5 km, two winter seasons. combined: 266 rolling 7-day windows (start advances 1 day) 2022-10-15..2023-04-15 and 2023-10-15..2024-01-17 (SIT, salinity, relative density, masks; SIT uncertainty and reflectivity mean+SEM only in 36 files). single: 37 non-overlapping 7-day windows 2022-10-15..2023-04-14 and 2023-10-21..2024-01-05 (per-type SIT, salinity, density). 303 NetCDF + 4 docs, 3.67 GB.
• Subsetting decision: Full record mirrored (companion of the Antarctic L3 record; the 681 MB Level-2 along-track Arctic record 10.5281/zenodo.21937449 and the 547 MB Antarctic L2 record 10.5281/zenodo.23248020 were not mirrored). Zenodo ZIPs MD5-checked then unpacked; NetCDF members stored unchanged under product_L3_Arctic_combined/ and product_L3_Arctic_single/. Note: single file 20230408_20230414 is only 50 KB as released (nearly empty), Variable sets differ between files as released: only 36 of the 266 combined files carry sea_ice_thickness_uncertainty and the reflectivity mean/SEM fields (GRZ L2 reflectivity is all-fill there); the other 230 combined files have SIT, salinity, density and masks only. In all 37 single files sea_ice_thickness_uncertainty is present but all-fill. Packing caveat: science variables are int32 with scale_factor=0.001 in the files, but decoded values are 1000x too large (e.g. SIT up to ~4800 'm'); divide decoded SIT/salinity/density by a further 1000 (effective scale 1e-6; SIT 0-5 m, relative density ~0.84-1.2). Spire_L1B_available/used are int8 bit masks (1=RCS,2=NRCS,4=GRZ L1,8=GRZ L2) with _FillValue=0 that is also the valid zero state. Grid CRS is not in the files (use the EPSG code above); filename token '12km' means 12.5 km.
• Source: https://zenodo.org/records/23248136

obs/satellite/norce-tum_gnssr-freeboard-nh-v1.1/ - GNSS-R Monthly Gridded Arctic Sea Ice Freeboard 2023-2024, v1.1 (NORCE / TU Munich, Spire grazing-angle GNSS-R, ESA EDAP+)

• Type / level: retrieval product / L3C (monthly gridded)
• Sensor / platform: Spire grazing-angle GNSS-R
• Method: GNSS-R phase altimetry SSH → freeboard (experimental)
• Hemisphere / time / resolution: north / 2023-10 – 2024-04 / 50 km EASE2 North, monthly
• Version: v1.1
• DOI / reference: 10.5281/zenodo.22802123 (v1.1), concept DOI 10.5281/zenodo.20809116
• Licence: CC BY 4.0 (Zenodo record licence).
• Citation: Ricker, R., Mueller, F. L. (2026): GNSS-R Monthly Gridded Arctic Sea Ice Freeboard 2023-2024 (Version 1.1) [Data set], Zenodo, doi:10.5281/zenodo.22802123. Associated paper: Ricker, R., Mueller, F. L., Talpe, M., Cartwright, J., Halsall, K., Hansen, E., Seitz, F., De Laurentiis, L., Di Bella, A.: Exploring high-resolution grazing-angle GNSS-R for retrieval of basin-scale sea ice freeboard, preprint, SSRN, doi:10.2139/ssrn.6991955.
• Coverage in this mirror: NH only (Arctic), EASE-Grid 2.0 North (EPSG:6931, CF grid_mapping included) 216x216, 50 km; ice cells reach ~55N. Monthly L3C fields Oct 2023 to Apr 2024 (7 files, one winter season). Variables: gnssr_freeboard, gnssr_freeboard_smoothed, gnssr_freeboard_std, gnssr_freeboard_cnt, gnssr_freeboard_uncertainty (m), sea_ice_concentration, sea_surface_height, lead_fraction, lat/lon, time_bnds. 7 NetCDF, 4.28 MB.
• Subsetting decision: Full record mirrored (latest version 1.1; superseded v1.0 record 10.5281/zenodo.20809117 of 2026-06-23 not mirrored). Files uploaded unchanged (plain NetCDF, no archive). Experimental product. Caveats: sea_ice_concentration is labelled units "1" but holds percent (70-100, cells below 70% are masked); the global attribute product_version reads "v1p0_rev" although the files and record are v1.1; freeboard has a few small negative values (16-46 cells per month, down to about -0.1 m) as released; missing values are NaN. Not from the JPL/UH SITS group (see jpl_sits-gnssr-l3-* folders for their thickness products).
• Source: https://zenodo.org/records/22802123

obs/satellite/thickness-freeboard-volume/legos_sit-cdr-ers-envisat-cs2-v2/ - Arctic and Antarctic sea ice thickness climate data record from ERS-1, ERS-2, Envisat and CryoSat-2 (v2)

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: ERS-1/2 RA, Envisat RA-2, CryoSat-2 SIRAL
• Method: Radar freeboard (CS-2 calibrated) + snow options, hydrostatic
• Hemisphere / time / resolution: both / 1993/94 – 2023 / monthly grid (see files)
• Version: v2
• DOI / reference: 10.5281/zenodo.12783561 (version; concept 10.5281/zenodo.12783560)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Bocquet, Marion; Centre National d'Études Spatiales; Laboratoire d'Études en Géophysique et Océanographie Spatiales (2024): Arctic and Antarctic sea ice thickness climate data record from ERS-1, ERS-2, Envisat and CryoSat-2 (Version v2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12783561
• Coverage in this mirror: both; 1993/94 – 2023; monthly grid (see files). Zenodo record(s) total 74 files, 6.20 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/12783561

derived-index/thickness-freeboard-volume/legos_sivol-cdr-v2/ - Arctic and Antarctic sea ice volume climate data record from ERS-1, ERS-2, Envisat and CryoSat-2 (v2)

• Type / level: derived index/climatology / L4 index (integrated volume)
• Sensor / platform: ERS-1/2, Envisat, CryoSat-2
• Method: Integrated sea ice volume from the LEGOS SIT CDR, regional, with uncertainty
• Hemisphere / time / resolution: both / 1993 – 2023 / monthly regional totals (CSV)
• Version: v2
• DOI / reference: 10.5281/zenodo.20525445 (version; concept 10.5281/zenodo.20525444)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Bocquet, Marion; Centre National d'Études Spatiales; Laboratoire d'Études en Géophysique et Océanographie Spatiales; Fleury, Sara; Rémy, Frédérique; Piras, Fanny; Boulard, Camille (2026): Arctic and Antarctic sea ice volume climate data record from ERS-1, ERS-2, Envisat and CryoSat-2 (Version v2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20525445
• Coverage in this mirror: both; 1993 – 2023; monthly regional totals (CSV). Zenodo record(s) total 16 files, 0.01 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/20525445

obs/satellite/thickness-freeboard-volume/legos_radar-freeboard-nh-v1.1/ - Arctic sea ice radar freeboard from ERS-1, ERS-2, Envisat and CryoSat-2 (v1.1)

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: ERS-1/2 RA, Envisat RA-2, CryoSat-2 SIRAL
• Method: Radar freeboard; ERS/Envisat calibrated to CS-2 SAR TFMRA50
• Hemisphere / time / resolution: north / 1993 – 2021 / monthly grid (see files)
• Version: v1.1
• DOI / reference: 10.5281/zenodo.8063431 (version; concept 10.5281/zenodo.7712502)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Bocquet, Marion; Fleury, Sara (2023): Arctic sea ice radar freeboard from ERS-1, ERS-2, Envisat and CryoSat-2 (Version v1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8063431
• Coverage in this mirror: north; 1993 – 2021; monthly grid (see files). Zenodo record(s) total 4 files, 2.63 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/8063431

obs/satellite/thickness-freeboard-volume/legos_sit-cdr-sh-amsrsnow/ - Antarctic sea ice thickness climate data record (ERS-1, ERS-2, Envisat, CryoSat-2) using a snow depth climatology

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: ERS-1/2 RA, Envisat RA-2, CryoSat-2 SIRAL
• Method: Radar freeboard + SI-CCI AMSR snow climatology, hydrostatic
• Hemisphere / time / resolution: south / 1994-04 – 2023-06 / monthly grid (see files)
• Version: 2024-02 release
• DOI / reference: 10.5281/zenodo.10610697 (version; concept 10.5281/zenodo.10610696)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Bocquet, Marion; Fleury, Sara (2024): Antarctic sea ice thickness climate data record (ERS-1, ERS-2, Envisat, CryoSat-2) using a snow depth climatology [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10610697
• Coverage in this mirror: south; 1994-04 – 2023-06; monthly grid (see files). Zenodo record(s) total 37 files, 0.44 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/10610697

obs/satellite/thickness-freeboard-volume/gsfc_cs2wfa-antarctic-v0.1.1/ - Antarctic Sea Ice Thickness Estimates from CryoSat-2: 2010-2021 (0.1.1)

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: CryoSat-2 SIRAL SAR/SARIn (Baseline-D)
• Method: Waveform fitting (CS2WFA) snow & ice freeboard, hydrostatic
• Hemisphere / time / resolution: south / 2010-07 – 2021-08 / 25 km polar stereographic, monthly
• Version: v0.1.1 (preliminary)
• DOI / reference: 10.5281/zenodo.7327711 (version; concept 10.5281/zenodo.7327710)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Fons, Steven; Kurtz, Nathan; Bagnardi, Marco (2022): Antarctic Sea Ice Thickness Estimates from CryoSat-2: 2010-2021 (Version 0.1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7327711
• Coverage in this mirror: south; 2010-07 – 2021-08; 25 km polar stereographic, monthly. Zenodo record(s) total 134 files, 0.28 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/7327711

obs/satellite/thickness-freeboard-volume/whu_arctic-sit-5km-v1.0/ - A monthly 5 km Arctic sea ice thickness product from 1995 to 2025 using multiple radar altimetry data

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: ERS-2 RA, Envisat RA-2, CryoSat-2 SIRAL
• Method: Lead detection, freeboard→SIT, inter-mission bias correction (DTU21 MSS)
• Hemisphere / time / resolution: north / 1995-10 – 2025-04 / 5 km polar stereographic, monthly
• Version: v1.0
• DOI / reference: 10.5281/zenodo.17946273 (version; concept 10.5281/zenodo.12715656)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Xiao, Feng; Zhang, Shengkai; Li, Fei (2025): A monthly 5 km Arctic sea ice thickness product from 1995 to 2025 using multiple radar altimetry data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17946273
• Coverage in this mirror: north; 1995-10 – 2025-04; 5 km polar stereographic, monthly. Zenodo record(s) total 1 files, 1.69 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17946273

obs/satellite/thickness-freeboard-volume/umd_is2smgpsit-v1/ - IS2SMGPSIT-V1: Daily 25 km Arctic sea ice thickness and volume from fused ICESat-2 and SMOS/SMAP observations, 2018–2025 (v0.1)

• Type / level: retrieval product / L4 (daily gridded, fused)
• Sensor / platform: ICESat-2 ATLAS + SMOS/SMAP
• Method: Gaussian-process fusion of ICESat-2 SIT with SMOS/SMAP thin-ice SIT
• Hemisphere / time / resolution: north / 2018-11 – 2025-04 (growth seasons) / 25 km polar stereographic, daily
• Version: v1 (record v0.1)
• DOI / reference: 10.5281/zenodo.22147361 (version; concept 10.5281/zenodo.22147360)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Petty, Alek (2026): IS2SMGPSIT-V1: Daily 25 km Arctic sea ice thickness and volume from fused ICESat-2 and SMOS/SMAP observations, 2018–2025 (Version v0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22147361
• Coverage in this mirror: north; 2018-11 – 2025-04 (growth seasons); 25 km polar stereographic, daily. Zenodo record(s) total 54 files, 8.12 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/22147361

obs/satellite/thickness-freeboard-volume/umd_is2sit-summer-v1/ - Monthly gridded summer Arctic sea ice thickness from ICESat-2, v1

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: ICESat-2 ATLAS (ATL10 R006)
• Method: ATL10 freeboard + SnowModel-LG snow (ERA5/MERRA-2), hydrostatic
• Hemisphere / time / resolution: north / 2019–2021, May–Aug / 25 km polar stereographic, monthly
• Version: v1
• DOI / reference: 10.5281/zenodo.18004849 (version; concept 10.5281/zenodo.15375596)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Petty, Alek Aaron (2025): Monthly gridded summer Arctic sea ice thickness from ICESat-2, v1 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18004849
• Coverage in this mirror: north; 2019–2021, May–Aug; 25 km polar stereographic, monthly. Zenodo record(s) total 33 files, 0.27 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/18004849

obs/satellite/thickness-freeboard-volume/kochi-utokyo_nh-daily-sit-thermo/ - Daily sea ice thickness in the Northern Hemisphere

• Type / level: retrieval product / L4 (daily gridded)
• Sensor / platform: AMSR-E, AMSR2
• Method: SIT from thermodynamic growth history of tracked PMW ice parcels
• Hemisphere / time / resolution: north / 2007-01 – 2011-09, 2016-07 – 2025-12 / daily grid (see files)
• Version: 2026-06 release
• DOI / reference: 10.5281/zenodo.20622229 (version; concept 10.5281/zenodo.17685487)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Kimura, Noriaki; Hasumi, Hiroyasu (2026): Daily sea ice thickness in the Northern Hemisphere [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20622229
• Coverage in this mirror: north; 2007-01 – 2011-09, 2016-07 – 2025-12; daily grid (see files). Zenodo record(s) total 31 files, 5.34 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/20622229

obs/satellite/thickness-freeboard-volume/uhh_smos-smap-sit-v1.0/ - Combined SMOS and SMAP sea ice thickness Arctic (1.0)

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: SMOS MIRAS + SMAP radiometer (L-band)
• Method: Combined 40° L-band Tb → thin-ice SIT (Tian-Kunze 2014)
• Hemisphere / time / resolution: north / 2015-04 – 2018-04 (Oct–Apr) / 12.5 km EASE2, daily
• Version: v1.0
• DOI / reference: 10.5281/zenodo.1631856 (version; concept 10.5281/zenodo.1631855)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Schmitt, Amelie; Kaleschke, Lars (2018): Combined SMOS and SMAP sea ice thickness Arctic (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1631856
• Coverage in this mirror: north; 2015-04 – 2018-04 (Oct–Apr); 12.5 km EASE2, daily. Zenodo record(s) total 577 files, 6.20 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/1631856

obs/satellite/thickness-freeboard-volume/lerma_pmw-sit-ssmi-v1.0/ - PMW Sea Ice Thickness - from SSM/I and SSMIS CDR (v1.0)

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: SSM/I, SSMIS
• Method: MLP trained on ICESat-2 SIT using 19/37 GHz Tb
• Hemisphere / time / resolution: north / 1992 – 2020 (Oct–Mar) / grid per file
• Version: v1.0
• DOI / reference: 10.5281/zenodo.13880123 (version; concept 10.5281/zenodo.13880122)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Soriot, Clément; Prigent, Catherine; Jimenez, Carlos (2024): PMW Sea Ice Thickness - from SSM/I and SSMIS CDR (Version v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13880123
• Coverage in this mirror: north; 1992 – 2020 (Oct–Mar); grid per file. Zenodo record(s) total 1 files, 0.36 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/13880123

obs/satellite/thickness-freeboard-volume/norce_dasit-v100/ - Drift-aware sea ice thickness maps from satellite remote sensing (v100)

• Type / level: retrieval product / L4 (drift-aware)
• Sensor / platform: Envisat RA-2, CryoSat-2 + OSI SAF drift/SIC
• Method: CCI SIT parcels advected with PMW drift (drift-aware SIT)
• Hemisphere / time / resolution: north / Envisat 2002–2012, CS-2 2010–2020 (Oct–Apr) / grid per files
• Version: v100 (preliminary)
• DOI / reference: 10.5281/zenodo.14733132 (version; concept 10.5281/zenodo.14733131)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Ricker, Robert; Lavergne, Thomas; Hendricks, Stefan; Paul, Stephan; Down, Emily; Killie, Mari Anne; Bocquet, Marion (2025): Drift-aware sea ice thickness maps from satellite remote sensing (Version v100) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14733132
• Coverage in this mirror: north; Envisat 2002–2012, CS-2 2010–2020 (Oct–Apr); grid per files. Zenodo record(s) total 2 files, 16.02 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/14733132

obs/satellite/thickness-freeboard-volume/ucl_daily-pan-arctic-sit/ - Daily-resolution pan-Arctic sea ice thickness

• Type / level: retrieval product / L4 (daily gridded)
• Sensor / platform: CryoSat-2, Sentinel-3, ICESat-2
• Method: Daily-resolution SIT (Stroeve et al. 2024 method), several algorithms
• Hemisphere / time / resolution: north / 2011 – 2022 / daily grid (see files)
• Version: 2023-09 release
• DOI / reference: 10.5281/zenodo.8366320 (version; concept 10.5281/zenodo.8366319)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Nab, Carmen (2023): Daily-resolution pan-Arctic sea ice thickness [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8366320
• Coverage in this mirror: north; 2011 – 2022; daily grid (see files). Zenodo record(s) total 33 files, 8.12 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/8366320

obs/satellite/thickness-freeboard-volume/tju_ice-3d-ml-sit/ - Arctic Sea Ice Thickness Estimated Using Machine Learning (ICE-3D)

• Type / level: retrieval product / L4 (ML estimate)
• Sensor / platform: not stated on record
• Method: Machine-learning SIT (ICE-3D); record has no description
• Hemisphere / time / resolution: north / 2000 – 2023 / not stated
• Version: 2026-08 release
• DOI / reference: 10.5281/zenodo.22068406 (version; concept 10.5281/zenodo.22068405)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Zheng, Qingyu (2026): Arctic Sea Ice Thickness Estimated Using Machine Learning (ICE-3D) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22068406
• Coverage in this mirror: north; 2000 – 2023; not stated. Zenodo record(s) total 24 files, 4.88 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/22068406

obs/satellite/thickness-freeboard-volume/dmi_cs2-tfmra50-sit-2011-2022-v2/ - Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets (2)

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: CryoSat-2 SIRAL (+ ICESat-2)
• Method: TFMRA50 radar-freeboard correction; snow depth & SIT retrieval
• Hemisphere / time / resolution: north / 2011 – 2022 (winter) / monthly grid (see files)
• Version: v2
• DOI / reference: 10.5281/zenodo.13145457 (version; concept 10.5281/zenodo.11049390)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Shi, Hoyeon (2024): Satellite-derived monthly Arctic winter sea ice thickness, snow depth, freeboards, ice draft, and bulk ice density (2011-2022) and validation datasets (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13145457
• Coverage in this mirror: north; 2011 – 2022 (winter); monthly grid (see files). Zenodo record(s) total 1 files, 0.04 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/13145457

obs/satellite/thickness-freeboard-volume/ucl_s3-narrs-v1.0.0/ - Arctic Snow Depth and Sea Ice Thickness from Sentinel-3 Nadir Radiometer and Radar Synergy (NaRRS) (1.0.0)

• Type / level: obs / L2 (along-track)
• Sensor / platform: Sentinel-3A/B SRAL + MWR
• Method: NaRRS: MWR + SRAL waveform snow depth; SIT hydrostatic
• Hemisphere / time / resolution: north (50–81.35°N) / 2016/17 – 2022/23 (Oct–Apr) / along-track, 23.5 km
• Version: v1.0.0
• DOI / reference: 10.5281/zenodo.17942492 (version; concept 10.5281/zenodo.17942491)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Nelson, Connor (2025): Arctic Snow Depth and Sea Ice Thickness from Sentinel-3 Nadir Radiometer and Radar Synergy (NaRRS) (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17942492
• Coverage in this mirror: north (50–81.35°N); 2016/17 – 2022/23 (Oct–Apr); along-track, 23.5 km. Zenodo record(s) total 2 files, 1.43 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17942492

obs/satellite/thickness-freeboard-volume/jpl_sits-gnssr-l2-antarctic-v1.0/ - SITS Level-2 Antarctic GNSS-R Sea-Ice Thickness Retrieval Products, Version 1.0 (1.0)

• Type / level: obs / L2 (along-track)
• Sensor / platform: Spire GNSS-R
• Method: GNSS-R reflectivity → along-track SIT
• Hemisphere / time / resolution: south / 2022-10 – 2024-01 / along-track
• Version: v1.0
• DOI / reference: 10.5281/zenodo.23248020 (version; concept 10.5281/zenodo.23248019)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Rodriguez-Alvarez, Nereida; Kim, Seho (2026): SITS Level-2 Antarctic GNSS-R Sea-Ice Thickness Retrieval Products, Version 1.0 (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23248020
• Coverage in this mirror: south; 2022-10 – 2024-01; along-track. Zenodo record(s) total 8 files, 0.55 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/23248020

obs/satellite/thickness-freeboard-volume/jpl_sits-gnssr-l2-arctic-v1.0/ - SITS Level-2 Arctic GNSS-R Sea-Ice Thickness Retrieval Products, Version 1.0 (1.0)

• Type / level: obs / L2 (along-track)
• Sensor / platform: Spire GNSS-R
• Method: GNSS-R reflectivity → along-track SIT
• Hemisphere / time / resolution: north / 2022-10 – 2024-01 / along-track
• Version: v1.0
• DOI / reference: 10.5281/zenodo.21937449 (version; concept 10.5281/zenodo.21937448)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Rodriguez-Alvarez, Nereida; Kim, Seho (2026): SITS Level-2 Arctic GNSS-R Sea-Ice Thickness Retrieval Products, Version 1.0 (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21937449
• Coverage in this mirror: north; 2022-10 – 2024-01; along-track. Zenodo record(s) total 8 files, 0.68 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/21937449

obs/satellite/thickness-freeboard-volume/norce-awi_dasit-75km-octapr/ - Drift-aware sea ice thickness dataset from satellite remote sensing (trajectories from Oct to Apr and parcel width of 75km)

• Type / level: retrieval product / L4 (drift-aware parcels)
• Sensor / platform: Envisat RA-2, CryoSat-2 + OSI SAF drift/SIC
• Method: DA-SIT customised: Oct–Apr advection, 75 km parcels
• Hemisphere / time / resolution: north / Envisat 2002–2012, CS-2 2010–2020 / 75 km parcels (GeoJSON)
• Version: v100
• DOI / reference: 10.5281/zenodo.20117910 (version; concept 10.5281/zenodo.20117909)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Ricker, Robert; von Albedyll, Luisa (2026): Drift-aware sea ice thickness dataset from satellite remote sensing (trajectories from Oct to Apr and parcel width of 75km) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20117910
• Coverage in this mirror: north; Envisat 2002–2012, CS-2 2010–2020; 75 km parcels (GeoJSON). Zenodo record(s) total 20 files, 14.51 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/20117910

reanalysis/thickness-freeboard-volume/nersc_topaz4-ml-sit/ - TOPAZ4-ML Sea Ice Thickness (1992-2022) (0.0.1-submitted)

• Type / level: reanalysis/model / reanalysis + ML correction
• Sensor / platform: TOPAZ4 (assimilates SIC, CS2SMOS) + ML
• Method: ML-corrected TOPAZ4 reanalysis thickness
• Hemisphere / time / resolution: north / 1992 – 2022 / TOPAZ4 grid (~12.5 km), daily
• Version: 0.0.1-submitted
• DOI / reference: 10.5281/zenodo.11191854 (version; concept 10.5281/zenodo.11191853)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Edel, Léo; Xie, Jiping; Bertino, Laurent (2024): TOPAZ4-ML Sea Ice Thickness (1992-2022) (Version 0.0.1-submitted) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11191854
• Coverage in this mirror: north; 1992 – 2022; TOPAZ4 grid (~12.5 km), daily. Zenodo record(s) total 32 files, 22.22 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/11191854

Snow on sea ice (冰上积雪)

reanalysis/snow/nasa_nesosim-v1.1/ - NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2025

• Type / level: reanalysis/model / model output (L4)
• Sensor / platform: NESOSIM forced by reanalysis snowfall/winds + PMW drift/SIC
• Method: Eulerian 2-layer snow budget model
• Hemisphere / time / resolution: north / 1980 – 2025 (Sep–Apr) / 100 km, daily
• Version: v1.1
• DOI / reference: 10.5281/zenodo.18273881 (version; concept 10.5281/zenodo.5164313)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Petty, Alek (2026): NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2025 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18273881
• Coverage in this mirror: north; 1980 – 2025 (Sep–Apr); 100 km, daily. Zenodo record(s) total 45 files, 2.11 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/18273881

obs/satellite/snow/sysu_snowdepth-pmw-1978-2025/ - A long-term wintertime snow depth dataset on Arctic sea ice (1978-2025) derived from multisource passive microwave radiometer data

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: SMMR, SSM/I, SSMIS
• Method: PMW gradient-ratio snow depth with uncertainty
• Hemisphere / time / resolution: north / 1978 – 2025 (Oct–Apr) / 25 km polar stereographic, daily
• Version: 2026-07 release
• DOI / reference: 10.5281/zenodo.21472646 (version; concept 10.5281/zenodo.21472645)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: He, Lian; Peng, Xinning; Zhou, Yi; Hui, Fengming; Chen, Zhuoqi; Chen, Liangbing; Wang, Xianwei; Cheng, Xiao (2026): A long-term wintertime snow depth dataset on Arctic sea ice (1978-2025) derived from multisource passive microwave radiometer data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21472646
• Coverage in this mirror: north; 1978 – 2025 (Oct–Apr); 25 km polar stereographic, daily. Zenodo record(s) total 1 files, 0.88 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/21472646

reanalysis/snow/eccc_nesosim-mcmc/ - NESOSIM-MCMC Multi-Reanalysis-Average Product With Uncertainty Estimates

• Type / level: reanalysis/model / model output (L4)
• Sensor / platform: NESOSIM + ERA5/MERRA-2/JRA-55, CloudSat scaling
• Method: NESOSIM calibrated by MCMC to snow obs; multi-reanalysis mean + uncertainty
• Hemisphere / time / resolution: north / 1980 – 2023 / 100 km, daily
• Version: 2025-02 update
• DOI / reference: 10.5281/zenodo.14861903 (version; concept 10.5281/zenodo.13307800)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Cabaj, Alex; Petty, Alek A.; Kushner, Paul J. (2025): NESOSIM-MCMC Multi-Reanalysis-Average Product With Uncertainty Estimates [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14861903
• Coverage in this mirror: north; 1980 – 2023; 100 km, daily. Zenodo record(s) total 8 files, 4.68 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/14861903

obs/satellite/snow/sysu_snowdepth-amsr-2002-2024/ - Daily snow depth on Arctic sea ice during the winter season from AMSR-E&2 data (2002 – 2024) (1)

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: AMSR-E, AMSR2
• Method: GR(19/7) snow depth with snow-density correction (He et al. 2024)
• Hemisphere / time / resolution: north / 2002 – 2024 (Oct–Apr) / 25 km polar stereographic, daily
• Version: v1
• DOI / reference: 10.5281/zenodo.18251610 (version; concept 10.5281/zenodo.18251609)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: He, Lian; Liu, Lin; Peng, Xinning (2026): Daily snow depth on Arctic sea ice during the winter season from AMSR-E&2 data (2002 – 2024) (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18251610
• Coverage in this mirror: north; 2002 – 2024 (Oct–Apr); 25 km polar stereographic, daily. Zenodo record(s) total 23 files, 7.65 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/18251610

obs/satellite/snow/adasa_amsr2-snowdepth-v1/ - Daily gridded Arctic snow depth dataset over sea ice from AMSR2 using an adaptive seasonal algorithm (2012–2023), Version 1

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: AMSR2
• Method: Adaptive seasonal algorithm trained on CS-2/IS-2 snow
• Hemisphere / time / resolution: north / 2012 – 2023 (freezing seasons) / daily grid (see files)
• Version: v1
• DOI / reference: 10.5281/zenodo.15695141 (version; concept 10.5281/zenodo.14600500)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Yi Zhou; Xianwei Wang; Ruibo Lei; Yu Zhang; Chentong, Zhang (2025): Daily gridded Arctic snow depth dataset over sea ice from AMSR2 using an adaptive seasonal algorithm (2012–2023), Version 1 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15695141
• Coverage in this mirror: north; 2012 – 2023 (freezing seasons); daily grid (see files). Zenodo record(s) total 1 files, 5.28 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/15695141

reanalysis/snow/uw_wassail-v1.0.0/ - University of Washington Snow on Antarctic Ice Lagrangian (WASSAIL) model data, v1.0.0 (2003-2025) (1.0.0)

• Type / level: reanalysis/model / model output (L4)
• Sensor / platform: WASSAIL forced by ERA5 + satellite drift/SIC
• Method: Lagrangian parcel snow-budget model
• Hemisphere / time / resolution: south / 2003-02 – 2025-02 / 0.75°, daily
• Version: v1.0.0
• DOI / reference: 10.5281/zenodo.19507962 (version; concept 10.5281/zenodo.19507961)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Campbell, Ethan C. (2026): University of Washington Snow on Antarctic Ice Lagrangian (WASSAIL) model data, v1.0.0 (2003-2025) (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.19507962
• Coverage in this mirror: south; 2003-02 – 2025-02; 0.75°, daily. Zenodo record(s) total 13 files, 16.05 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/19507962

obs/satellite/snow/legos_laku-snowdepth-v1/ - Multi-frequency altimetry snow depth product over Arctic sea ice (Version 1)

• Type / level: retrieval product / L3 (monthly gridded)
• Sensor / platform: CryoSat-2 SIRAL (Ku) + ICESat-2 ATLAS
• Method: Snow depth = laser minus Ku radar freeboard
• Hemisphere / time / resolution: north / 2018 – 2021 (winter) / 25 km, monthly
• Version: Version 1
• DOI / reference: 10.5281/zenodo.14000765 (version; concept 10.5281/zenodo.14000764)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Carret, Alice; Fleury, Sara (2024): Multi-frequency altimetry snow depth product over Arctic sea ice (Version Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14000765
• Coverage in this mirror: north; 2018 – 2021 (winter); 25 km, monthly. Zenodo record(s) total 21 files, 0.05 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/14000765

derived-index/snow/awi_snow-clim-w99-amsr2-v1.0/ - Monthly Arctic climatology of snow depth on sea ice from merged passive microwave data and Warren99 Arctic Ocean climatology (1.0)

• Type / level: derived index/climatology / L4 climatology
• Sensor / platform: AMSR2 + Warren-99 climatology
• Method: Merged PMW snow + W99, monthly climatology
• Hemisphere / time / resolution: north / climatology (Oct–Apr) / 25 km EPSG:3411, monthly
• Version: v1.0
• DOI / reference: 10.5281/zenodo.17131889 (version; concept 10.5281/zenodo.17131888)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Hendricks, Stefan (2025): Monthly Arctic climatology of snow depth on sea ice from merged passive microwave data and Warren99 Arctic Ocean climatology (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17131889
• Coverage in this mirror: north; climatology (Oct–Apr); 25 km EPSG:3411, monthly. Zenodo record(s) total 7 files, 0.34 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17131889

Drift / deformation (漂移/形变)

obs/satellite/nsidc_nsidc-0116-v4.1/ - Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4 (NSIDC-0116, files v4.1)

• Type / level: retrieval product / L3 (daily/weekly gridded)
• Sensor / platform: AVHRR, SMMR, SSM/I, SSMIS, AMSR-E + IABP buoys + NCEP winds
• Method: Max cross-correlation feature tracking, optimal interpolation with buoys & wind
• Hemisphere / time / resolution: both / 1978-11 – latest year / 25 km EASE-Grid, daily/weekly
• Version: v4.1
• DOI / reference: 10.5067/INAWUWO7QH7B
• Licence: NASA open data policy, no restrictions; please cite.
• Citation: Tschudi, M., Meier, W. N., Stewart, J. S., Fowler, C., Maslanik, J. (2019). Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4. NASA NSIDC DAAC. doi:10.5067/INAWUWO7QH7B.
• Coverage in this mirror: NH + SH, 25 km EASE-Grid, 1978-11 to latest available year: yearly NetCDF files of daily vectors (daily/) and of weekly means (weekly/).
• Subsetting decision: Full record taken (yearly NetCDF, ~3 GB total). browse/ images and input_sources/ (per-sensor input vectors) were skipped. No provider checksums on the server; MD5 computed after opening each NetCDF.
• Source: https://daacdata.apps.nsidc.org/pub/DATASETS/nsidc0116_icemotion_vectors_v4/ (Earthdata login)

obs/satellite/drift-deformation/mcgill-awi_rgps-deformation-composite-v1.0/ - Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data (1.0)

• Type / level: retrieval product / L3 (3-day gridded)
• Sensor / platform: RADARSAT-1 SAR (RGPS)
• Method: Strain rates from RGPS Lagrangian trajectories, composited
• Hemisphere / time / resolution: north / 1997 – 2008 (Jan–Mar) / 10 km, 3-day
• Version: v1.0
• DOI / reference: 10.5281/zenodo.6321327 (version; concept 10.5281/zenodo.6321326)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Bouchat, Amélie; Hutter, Nils (2022): Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6321327
• Coverage in this mirror: north; 1997 – 2008 (Jan–Mar); 10 km, 3-day. Zenodo record(s) total 12 files, 2.96 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/6321327

obs/satellite/drift-deformation/eccc_sidrr-asits-v1.3/ - Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS

• Type / level: retrieval product / L2/L3 (daily, SAR triangles)
• Sensor / platform: Sentinel-1 SAR, RADARSAT Constellation
• Method: ECCC-ASITS SAR motion vectors → triangulated deformation/rotation
• Hemisphere / time / resolution: north / 2017 – 2025-08 / SAR triangles, daily
• Version: v1.3
• DOI / reference: 10.5281/zenodo.18088256 (version; concept 10.5281/zenodo.11520802)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Plante, Mathieu; Lemieux, Jean-François; Tremblay, L. Bruno; Bouchat, Amélie; Ringeisen, Damien; Blain, Philippe; Howell, Stephen; Brady, Mike; Alexander, Komarov; Duval, Beatrice; Yakuden, Lekima; Labelle, Frédérique (2025): Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18088256
• Coverage in this mirror: north; 2017 – 2025-08; SAR triangles, daily. Zenodo record(s) total 9 files, 13.14 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/18088256

obs/satellite/drift-deformation/nsidc_sar-antarctic-velocity-v2/ - SAR-derived Antarctic sea ice velocity (2015-2023) (v2)

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: Sentinel-1 SAR
• Method: Feature tracking (nansencenter sea_ice_drift) on S1 pairs
• Hemisphere / time / resolution: south / 2015 – 2023 / EASE-Grid South, daily
• Version: v2
• DOI / reference: 10.5281/zenodo.22942305 (version; concept 10.5281/zenodo.18737892)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Koo, YoungHyun (2026): SAR-derived Antarctic sea ice velocity (2015-2023) (Version v2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22942305
• Coverage in this mirror: south; 2015 – 2023; EASE-Grid South, daily. Zenodo record(s) total 9 files, 0.24 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/22942305

obs/satellite/drift-deformation/utokyo_nh-daily-ice-velocity/ - Gridded Daily Sea Ice Velocity in the Northern Hemisphere

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: AMSR-E, AMSR2 (36/18 GHz)
• Method: Maximum cross-correlation, 60 km template
• Hemisphere / time / resolution: north / 2007 – 2025 / 60 km, daily
• Version: 2025-11 release
• DOI / reference: 10.5281/zenodo.17694536 (version; concept 10.5281/zenodo.17694535)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Kimura, Noriaki (2025): Gridded Daily Sea Ice Velocity in the Northern Hemisphere [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17694536
• Coverage in this mirror: north; 2007 – 2025; 60 km, daily. Zenodo record(s) total 6 files, 0.21 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17694536

obs/satellite/drift-deformation/sysu_amsr2-summer-velocity-v1.0/ - Arctic sea ice velocity in summer from AMSR2 (2013-2023) (v1.0)

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: AMSR2 36.5 GHz
• Method: Continuous max cross-correlation on polarisation difference
• Hemisphere / time / resolution: north / 2013 – 2023 (May–Sep) / daily grid (see files)
• Version: v1.0
• DOI / reference: 10.5281/zenodo.12618229 (version; concept 10.5281/zenodo.12618228)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Shi, Qian; Yang, Qinghua (2024): Arctic sea ice velocity in summer from AMSR2 (2013-2023) (Version v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12618229
• Coverage in this mirror: north; 2013 – 2023 (May–Sep); daily grid (see files). Zenodo record(s) total 12 files, 0.85 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/12618229

derived-index/drift-deformation/gsfc_lagrangian-parcel-tracks-v1.0/ - Daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions (Part 1) (1.0)

• Type / level: derived index/climatology / L4 (Lagrangian database)
• Sensor / platform: PMW drift/SIC + reanalysis
• Method: Daily parcel drift tracks with coincident ice/atmosphere conditions
• Hemisphere / time / resolution: north / 2002 – 2020 (sea-ice years) / daily trajectories
• Version: v1.0 (parts 1, 2, 2a, 3)
• DOI / reference: 10.5281/zenodo.6646932 (version; concept 10.5281/zenodo.6646931); 10.5281/zenodo.6656294 (version; concept 10.5281/zenodo.6656293); 10.5281/zenodo.6647508 (version; concept 10.5281/zenodo.6647507); 10.5281/zenodo.6647807 (version; concept 10.5281/zenodo.6647806)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Horvath, Sean; Boisvert, Linette; Parker, Chelsea; Webster, Melinda; Taylor, Patrick; Boeke, Robin (2022): Daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions (Part 1) (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6646932 | Horvath, Sean; Boisvert, Linette; Parker, Chelsea; Webster, Melinda; Taylor, Patrick; Boeke, Robin (2022): Daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions (Part 2a) (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6656294 | Horvath, Sean; Boisvert, Linette; Parker, Chelsea; Webster, Melinda; Taylor, Patrick; Boeke, Robin (2022): Daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions (Part 2) (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6647508 | Horvath, Sean; Boisvert, Linette; Parker, Chelsea; Webster, Melinda; Taylor, Patrick; Boeke, Robin (2022): Daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions (Part 3) (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6647807
• Coverage in this mirror: north; 2002 – 2020 (sea-ice years); daily trajectories. Zenodo record(s) total 74 files, 130.29 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/6646932 https://zenodo.org/records/6656294 https://zenodo.org/records/6647508 https://zenodo.org/records/6647807

Age / type (冰龄/冰型)

obs/satellite/age-type/nersc_sea-ice-age-cdr-v2.1/ - Arctic Sea Ice Age Climate Data Record Version 2.1 (monthly) (2.1.2)

• Type / level: retrieval product / L4 (monthly gridded)
• Sensor / platform: PMW via OSI SAF SIC + drift CDRs
• Method: Lagrangian advection of ice-age fractions with OSI SAF drift/SIC
• Hemisphere / time / resolution: north / 1991 – 2024 / monthly grid (see files)
• Version: v2.1.2
• DOI / reference: 10.5281/zenodo.17691212 (version; concept 10.5281/zenodo.15773500)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Korosov, Anton (2025): Arctic Sea Ice Age Climate Data Record Version 2.1 (monthly) (Version 2.1.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17691212
• Coverage in this mirror: north; 1991 – 2024; monthly grid (see files). Zenodo record(s) total 34 files, 0.09 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17691212

obs/satellite/age-type/nsidc_ease-iceage-early-v4.1/ - Early EASE-GRID Sea Ice Age, 1978-1983 (4.1_early)

• Type / level: retrieval product / L4 (weekly gridded)
• Sensor / platform: PMW + buoys (NSIDC-0116 motion)
• Method: Lagrangian tracking, annual age classes (spin-up period)
• Hemisphere / time / resolution: north / 1978-10 – 1983 / 12.5 km EASE-Grid, weekly
• Version: v4.1_early
• DOI / reference: 10.5281/zenodo.7659077 (version; concept 10.5281/zenodo.7659076)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Meier, Walter N.; Stewart, J. Scott (2023): Early EASE-GRID Sea Ice Age, 1978-1983 (Version 4.1_early) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7659077
• Coverage in this mirror: north; 1978-10 – 1983; 12.5 km EASE-Grid, weekly. Zenodo record(s) total 6 files, 0.02 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/7659077

obs/satellite/age-type/utokyo_nh-daily-sea-ice-age/ - Daily sea ice age data for the entire Northern Hemisphere

• Type / level: retrieval product / L4 (daily)
• Sensor / platform: AMSR-E, AMSR2
• Method: Backward tracking with AMSR velocity + SIC → mean/oldest age
• Hemisphere / time / resolution: north / 2007 – 2022 / daily, AMSR grid (text)
• Version: 2025-11 release
• DOI / reference: 10.5281/zenodo.17743866 (version; concept 10.5281/zenodo.17743865)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Kimura, Noriaki; Hasumi, Hiroyasu (2025): Daily sea ice age data for the entire Northern Hemisphere [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17743866
• Coverage in this mirror: north; 2007 – 2022; daily, AMSR grid (text). Zenodo record(s) total 12 files, 4.35 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17743866

obs/satellite/age-type/sysu_arctic-ice-type-2002-2021/ - Arctic Sea Ice Type Products Based on Active and Passive Microwave Remote Sensing (2002-2021)

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: FY-3 MWRI + other PMW + scatterometer
• Method: K-means clustering → open water / FYI / MYI
• Hemisphere / time / resolution: north / 2002 – 2021 / 12.5 km, daily
• Version: 2022-10 release
• DOI / reference: 10.5281/zenodo.10889942 (version; concept 10.5281/zenodo.10889941)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: 李, 锦鑫; 叶, 玉芳; 胡, 海涵 (2022): Arctic Sea Ice Type Products Based on Active and Passive Microwave Remote Sensing (2002-2021) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10889942
• Coverage in this mirror: north; 2002 – 2021; 12.5 km, daily. Zenodo record(s) total 1 files, 0.06 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/10889942

Melt / albedo / temperature / surface (融化/反照率/温度/表面)

obs/satellite/melt-albedo-temperature/gsfc_ahra-melt-onset-v5/ - Arctic sea ice snow melt onset dates from the Advanced Horizontal Range Algorithm, version 5 (1979 - 2022)

• Type / level: retrieval product / L3 (annual gridded)
• Sensor / platform: SMMR, SSM/I, SSMIS
• Method: Advanced Horizontal Range Algorithm on PMW Tb time series
• Hemisphere / time / resolution: north / 1979 – 2022 / 25 km, annual
• Version: v5 (v05r00)
• DOI / reference: 10.5281/zenodo.10137555 (version; concept 10.5281/zenodo.10137554)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Bliss, Angela C. (2023): Arctic sea ice snow melt onset dates from the Advanced Horizontal Range Algorithm, version 5 (1979 - 2022) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10137555
• Coverage in this mirror: north; 1979 – 2022; 25 km, annual. Zenodo record(s) total 52 files, 0.02 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/10137555

obs/satellite/melt-albedo-temperature/gapfree-arctic-albedo-v3/ - Gap-Free Arctic Sea Ice Albedo Dataset (2000–2025; Daily, May–September), Version 3

• Type / level: retrieval product / L4 (daily gap-free)
• Sensor / platform: MODIS Terra + PMW Tb
• Method: ML albedo from MODIS (melt-pond aware); gaps from albedo–Tb model
• Hemisphere / time / resolution: north (>60°N) / 2000 – 2024 (May–Sep) / 12.5 km polar stereographic, daily
• Version: v3
• DOI / reference: 10.5281/zenodo.23202177 (version; concept 10.5281/zenodo.15307662)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Zhao, Ziwei; Ding, Yinghui; Wang, Mengsi; Li, Xijia; Qu, Ying (2026): Gap-Free Arctic Sea Ice Albedo Dataset (2000–2025; Daily, May–September), Version 3 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23202177
• Coverage in this mirror: north (>60°N); 2000 – 2024 (May–Sep); 12.5 km polar stereographic, daily. Zenodo record(s) total 25 files, 1.13 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/23202177

obs/satellite/melt-albedo-temperature/dmi_t2m-arctic-seaice-v0.1/ - Monthly near-surface air temperatures over Arctic sea ice based on satellite observations

• Type / level: retrieval product / L4 (monthly gap-free)
• Sensor / platform: AVHRR IST CDR (DMI)
• Method: T2m from sea/ice surface temperature CDR via empirical model
• Hemisphere / time / resolution: north / 1982-01 – 2021-05 / 0.05°, monthly
• Version: v0.1
• DOI / reference: 10.5281/zenodo.10555223 (version; concept 10.5281/zenodo.10555222)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Nielsen-Englyst, Pia; Høyer, Jacob (2024): Monthly near-surface air temperatures over Arctic sea ice based on satellite observations [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10555223
• Coverage in this mirror: north; 1982-01 – 2021-05; 0.05°, monthly. Zenodo record(s) total 1 files, 3.62 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/10555223

obs/satellite/melt-albedo-temperature/ouc_arctic-freeze-onset/ - Arctic Sea Ice Freeze Onsest (1)

• Type / level: retrieval product / L3 (annual gridded)
• Sensor / platform: AMSR-E, AMSR2 + NT2 SIC
• Method: Improved PMW freeze-onset algorithm
• Hemisphere / time / resolution: north / 2003 – 2021 (no 2011–12) / 12.5 km, annual
• Version: v1
• DOI / reference: 10.5281/zenodo.8014215 (version; concept 10.5281/zenodo.8014214)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Qu, zhifeng; Su, Jie (2023): Arctic Sea Ice Freeze Onsest (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8014215
• Coverage in this mirror: north; 2003 – 2021 (no 2011–12); 12.5 km, annual. Zenodo record(s) total 17 files, 0.15 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/8014215

obs/satellite/melt-albedo-temperature/sysu_ascat-form-drag/ - Wintertime daily Arctic sea ice surface form drag from ASCAT during 2006-2021

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: MetOp ASCAT
• Method: Surface form drag from scatterometer backscatter (SIC>90%)
• Hemisphere / time / resolution: north / 2006 – 2021 (Nov–Apr) / 12.5 km, daily
• Version: 2023-12 release
• DOI / reference: 10.5281/zenodo.10421427 (version; concept 10.5281/zenodo.10421426)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Zhang, Zhilun (2023): Wintertime daily Arctic sea ice surface form drag from ASCAT during 2006-2021 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10421427
• Coverage in this mirror: north; 2006 – 2021 (Nov–Apr); 12.5 km, daily. Zenodo record(s) total 1 files, 1.84 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/10421427

reanalysis/melt-albedo-temperature/ncar_era5-skt-biascorr/ - Bias corrected era5 skin temperature over the Arctic sea ice – 1981 to 2018 monthly means and climatology

• Type / level: reanalysis/model / reanalysis, bias-corrected
• Sensor / platform: ERA5 + ML correction
• Method: ML correction of winter clear-sky skin-temperature bias
• Hemisphere / time / resolution: north / 1981 – 2018 / ERA5 grid, monthly + climatology
• Version: 2023-05 release
• DOI / reference: 10.5281/zenodo.8338265 (version; concept 10.5281/zenodo.8338264)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Zampieri, Lorenzo (2023): Bias corrected era5 skin temperature over the Arctic sea ice – 1981 to 2018 monthly means and climatology [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8338265
• Coverage in this mirror: north; 1981 – 2018; ERA5 grid, monthly + climatology. Zenodo record(s) total 39 files, 1.22 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/8338265

obs/satellite/melt-albedo-temperature/sysu_quikscat-form-drag/ - Wintertime daily Arctic sea ice surface form drag from QuikSCAT during 1999-2009

• Type / level: retrieval product / L3 (daily gridded)
• Sensor / platform: QuikSCAT SeaWinds
• Method: Surface form drag from scatterometer backscatter (SIC>90%)
• Hemisphere / time / resolution: north / 1999 – 2009 (Nov–Apr) / 12.5 km, daily
• Version: 2023-12 release
• DOI / reference: 10.5281/zenodo.10421183 (version; concept 10.5281/zenodo.10421182)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Zhang, Zhilun (2023): Wintertime daily Arctic sea ice surface form drag from QuikSCAT during 1999-2009 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10421183
• Coverage in this mirror: north; 1999 – 2009 (Nov–Apr); 12.5 km, daily. Zenodo record(s) total 1 files, 1.12 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/10421183

obs/satellite/melt-albedo-temperature/whu_antarctic-albedo-viirs-1km-uncertainty-v1/ - Uncertainty of the daily 1 km seamless Antarctic sea ice albedo product (v1)

• Type / level: retrieval product / L4 (daily uncertainty)
• Sensor / platform: S-NPP VIIRS
• Method: Monte Carlo + error propagation uncertainty of the 1 km albedo
• Hemisphere / time / resolution: south / 2012 – 2021 / 1 km, daily
• Version: v1
• DOI / reference: 10.5281/zenodo.15067607 (version; concept 10.5281/zenodo.15067606)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Ma, Chao; Hao, Weifeng; Cheng, Qing; Ye, Fan; Wu, Haojian; Li, Fei (2025): Uncertainty of the daily 1 km seamless Antarctic sea ice albedo product (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15067607
• Coverage in this mirror: south; 2012 – 2021; 1 km, daily. Zenodo record(s) total 10 files, 4.66 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/15067607

obs/satellite/melt-albedo-temperature/whu_antarctic-albedo-viirs-1km-v2/ - Daily 1 km seamless Antarctic sea ice albedo product from VIIRS data (v2)

• Type / level: retrieval product / L4 (daily seamless)
• Sensor / platform: S-NPP VIIRS
• Method: MBRI albedo retrieval; cloudy pixels reconstructed
• Hemisphere / time / resolution: south / 2012 – 2021 / 1 km, daily
• Version: v2
• DOI / reference: 10.5281/zenodo.11216156 (version; concept 10.5281/zenodo.11196870)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Ma, Chao; Hao, Weifeng; Cheng, Qing; Ye, Fan; Qu, Ying; Gao, Shengjun; Wu, Haojian; Li, Fei (2024): Daily 1 km seamless Antarctic sea ice albedo product from VIIRS data (Version v2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11216156
• Coverage in this mirror: south; 2012 – 2021; 1 km, daily. Zenodo record(s) total 10 files, 49.83 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/11216156

Leads / polynya / landfast / iceberg (冰间水道/冰间湖/固定冰/冰山)

obs/satellite/leads-polynya-landfast-iceberg/sysu_deep-aa-polynya-v1.1/ - Daily Edge of Each Polynya in Antarctic (DEEP-AA) (1.1.0-2023)

• Type / level: retrieval product / L4 (daily polynya maps)
• Sensor / platform: AMSR-E/AMSR2 SIC & PSSM
• Method: Polynya identification/tracking on SIC thresholds (use SIC60_6.25km_20d)
• Hemisphere / time / resolution: south / 2003 – 2022 (Apr–Oct) / 6.25 km, daily
• Version: v1.1.0-2023
• DOI / reference: 10.5281/zenodo.13358042 (version; concept 10.5281/zenodo.11379147)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Lin, Yichen; Nakayama, Yoshihiro; Liang, Kaixin; Huang, Yongtao; Chen, Dake; Yang, Qinghua (2024): Daily Edge of Each Polynya in Antarctic (DEEP-AA) (Version 1.1.0-2023) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13358042
• Coverage in this mirror: south; 2003 – 2022 (Apr–Oct); 6.25 km, daily. Zenodo record(s) total 29 files, 5.20 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/13358042

obs/satellite/leads-polynya-landfast-iceberg/fio-ouc_arctic-landfast-weekly/ - 25-km gridded weekly Arctic landfast sea ice distribution from 1976-2026

• Type / level: retrieval product / L3 (weekly gridded, ice-chart analysis)
• Sensor / platform: US NIC ice charts (multi-sensor analyst)
• Method: Landfast ice extracted from NIC weekly/biweekly charts
• Hemisphere / time / resolution: north / 1976 – 2026 / 25 km, weekly
• Version: 2026-04 release
• DOI / reference: 10.5281/zenodo.19546997 (version; concept 10.5281/zenodo.19546996)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Jiechen, Zhao (2026): 25-km gridded weekly Arctic landfast sea ice distribution from 1976-2026 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.19546997
• Coverage in this mirror: north; 1976 – 2026; 25 km, weekly. Zenodo record(s) total 4 files, 0.02 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/19546997

obs/satellite/leads-polynya-landfast-iceberg/uwm_viirs-leads-unet/ - VIIRS Sea ice leads detections using a U-Net

• Type / level: retrieval product / L3 (daily lead maps)
• Sensor / platform: S-NPP VIIRS thermal IR
• Method: U-Net CNN lead detection
• Hemisphere / time / resolution: north / 2011 – 2021 (Nov–Apr) / ~1 km, daily
• Version: 2022-09 release
• DOI / reference: 10.5281/zenodo.7046261 (version; concept 10.5281/zenodo.7046260)
• Licence: CC0 1.0 Universal (Zenodo record licence); redistribution allowed.
• Citation: Hoffman, Jay; Ackerman, Steven; Liu, Yinghui; Key, Jeffrey; McConnell, Iain (2022): VIIRS Sea ice leads detections using a U-Net [Data set]. Zenodo. https://doi.org/10.5061/dryad.1vhhmgqwd
• Coverage in this mirror: north; 2011 – 2021 (Nov–Apr); ~1 km, daily. Zenodo record(s) total 13 files, 16.11 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/7046261

obs/satellite/leads-polynya-landfast-iceberg/sxu-sysu_antarctic-icebergs-s1/ - A Six-year circum-Antarctic icebergs dataset (2018-2023)

• Type / level: retrieval product / L3 (annual iceberg vectors)
• Sensor / platform: Sentinel-1 SAR
• Method: Incremental random-forest iceberg detection + manual correction
• Hemisphere / time / resolution: south (<55°S) / 2018-10 – 2023-10 / vectors ≥0.04 km², annual
• Version: 2025-09 release
• DOI / reference: 10.5281/zenodo.17165466 (version; concept 10.5281/zenodo.14588507)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Liu, xuying; Chen, zilong (2025): A Six-year circum-Antarctic icebergs dataset (2018-2023) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17165466
• Coverage in this mirror: south (<55°S); 2018-10 – 2023-10; vectors ≥0.04 km², annual. Zenodo record(s) total 3 files, 0.69 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/17165466

obs/satellite/leads-polynya-landfast-iceberg/gsfc_is2-lead-fraction-v1.0/ - ICESat-2 lead fraction and chord length estimates (1.0)

• Type / level: retrieval product / L2/L3 (along-track + gridded)
• Sensor / platform: ICESat-2 ATLAS (ATL07)
• Method: Lead fraction & chord length from ATL07 surface type
• Hemisphere / time / resolution: both / NH 2018-11–2019-04, SH 2019-05–2019-09 / along-track + 25 km
• Version: v1.0
• DOI / reference: 10.5281/zenodo.4553552 (version; concept 10.5281/zenodo.4075390)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Petty, Alek (2021): ICESat-2 lead fraction and chord length estimates (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4553552
• Coverage in this mirror: both; NH 2018-11–2019-04, SH 2019-05–2019-09; along-track + 25 km. Zenodo record(s) total 14 files, 0.46 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/4553552

obs/satellite/leads-polynya-landfast-iceberg/uwm_modis-leads-unet/ - MODIS Sea ice leads detections using a U-Net

• Type / level: retrieval product / L3 (daily lead maps)
• Sensor / platform: Terra/Aqua MODIS thermal IR
• Method: U-Net CNN lead detection
• Hemisphere / time / resolution: north / 2002 – 2021 (Nov–Apr) / ~1 km, daily
• Version: 2022-07 release
• DOI / reference: 10.5281/zenodo.6904022 (version; concept 10.5281/zenodo.6904021)
• Licence: CC0 1.0 Universal (Zenodo record licence); redistribution allowed.
• Citation: Hoffman, Jay; Ackerman, Steven; Liu, Yinghui; Key, Jeffrey; McConnell, Iain (2022): MODIS Sea ice leads detections using a U-Net [Data set]. Zenodo. https://doi.org/10.5061/dryad.79cnp5hz2
• Coverage in this mirror: north; 2002 – 2021 (Nov–Apr); ~1 km, daily. Zenodo record(s) total 22 files, 35.35 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/6904022

Brightness temperature (亮温)

obs/satellite/brightness-temperature/uhh_smap-l1b-tb-arctic/ - SMAP L1B Brightness Temperatures Arctic (3.0)

• Type / level: obs / L1B → gridded daily Tb
• Sensor / platform: SMAP radiometer (L-band)
• Method: SMAP L1B Tb gridded (40° incidence)
• Hemisphere / time / resolution: north / 2015-04 – 2018-05 / 12.5 km EASE2, daily
• Version: 2018-11 release
• DOI / reference: 10.5281/zenodo.1627380 (version; concept 10.5281/zenodo.1627379)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Schmitt, Amelie; Kaleschke, Lars (2018): SMAP L1B Brightness Temperatures Arctic (Version 3.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1627380
• Coverage in this mirror: north; 2015-04 – 2018-05; 12.5 km EASE2, daily. Zenodo record(s) total 1150 files, 11.27 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/1627380

obs/satellite/brightness-temperature/uhh_smos-tb40-arctic-v620/ - SMOS Brightness Temperatures at 40° incidence angle Arctic (v620)

• Type / level: obs / L1C → gridded daily Tb
• Sensor / platform: SMOS MIRAS (L-band)
• Method: Multi-angle fit to 40° incidence, gridded
• Hemisphere / time / resolution: north / 2015-04 – 2018-05 / 12.5 km EASE2, daily
• Version: v620
• DOI / reference: 10.5281/zenodo.1631762 (version; concept 10.5281/zenodo.1631761)
• Licence: Creative Commons Attribution 4.0 International (Zenodo record licence); redistribution allowed with attribution.
• Citation: Schmitt, Amelie; Kaleschke, Lars (2018): SMOS Brightness Temperatures at 40° incidence angle Arctic (Version v620) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1631762
• Coverage in this mirror: north; 2015-04 – 2018-05; 12.5 km EASE2, daily. Zenodo record(s) total 1154 files, 13.57 GB.
• Subsetting decision: Full Zenodo record(s) mirrored, files MD5-checked against the Zenodo API. ZIP/TAR archives whose contents are NetCDF/GeoTIFF/CSV are unpacked (members stored unchanged under a folder named after the archive); other archives (7z, rar, multi-part zips, nested or mixed contents) are kept as-is.
• Source: https://zenodo.org/records/1631762