Add StormScope Flash GOES and MRMS/GLM checkpoints
#3
by Shoaib78971 - opened
- .gitattributes +1 -0
- README.md +9 -1
- checkpoints/goes/3km_10min_flash/expert_0.mdlus +3 -0
- checkpoints/goes/3km_10min_flash/expert_1.mdlus +3 -0
- checkpoints/goes/3km_10min_flash/expert_2.mdlus +3 -0
- checkpoints/mrms/3km_10min_flash/expert_0.mdlus +3 -0
- checkpoints/mrms/3km_10min_flash/expert_1.mdlus +3 -0
- checkpoints/mrms/3km_10min_flash/expert_2.mdlus +3 -0
- mrms_forecast_skill.csv +11 -0
- mrms_forecast_skill.md +34 -0
- mrms_forecast_skill.pdf +0 -0
- registry.json +113 -1
.gitattributes
CHANGED
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@@ -53,3 +53,4 @@ checkpoints/mrms/3km_10min/expert_1.mdlus filter=lfs diff=lfs merge=lfs -text
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checkpoints/mrms/3km_10min/expert_2.mdlus filter=lfs diff=lfs merge=lfs -text
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checkpoints/mrms/6km_1hr/expert_0.mdlus filter=lfs diff=lfs merge=lfs -text
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checkpoints/mrms/6km_1hr/expert_1.mdlus filter=lfs diff=lfs merge=lfs -text
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checkpoints/mrms/3km_10min/expert_2.mdlus filter=lfs diff=lfs merge=lfs -text
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checkpoints/mrms/6km_1hr/expert_0.mdlus filter=lfs diff=lfs merge=lfs -text
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checkpoints/mrms/6km_1hr/expert_1.mdlus filter=lfs diff=lfs merge=lfs -text
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checkpoints/*/3km_10min_flash/*.mdlus filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -15,7 +15,15 @@ Models predicting MRMS are conditioned on the most recent GOES state variables.
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For inference see [NVIDIA Earth2Studio](https://github.com/NVIDIA/earth2studio).
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-
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### License/Terms of Use:
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For inference see [NVIDIA Earth2Studio](https://github.com/NVIDIA/earth2studio).
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## StormScope Flash
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StormScope Flash is a distilled 3 km, 10-minute forecasting variant for faster
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GOES and MRMS/GLM inference. It uses five model evaluations for GOES and seven for
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MRMS/GLM per forecast step, and supports full-CONUS and regional inference through
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Earth2Studio.
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See [MRMS forecasting skill](mrms_forecast_skill.md) for the comparison with
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StormScope, including the evaluation setup, metric definitions, and results.
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### License/Terms of Use:
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checkpoints/goes/3km_10min_flash/expert_0.mdlus
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version https://git-lfs.github.com/spec/v1
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size 723168495
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checkpoints/goes/3km_10min_flash/expert_1.mdlus
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version https://git-lfs.github.com/spec/v1
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size 704268145
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checkpoints/goes/3km_10min_flash/expert_2.mdlus
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version https://git-lfs.github.com/spec/v1
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size 697968031
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checkpoints/mrms/3km_10min_flash/expert_0.mdlus
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version https://git-lfs.github.com/spec/v1
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size 703869841
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checkpoints/mrms/3km_10min_flash/expert_1.mdlus
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version https://git-lfs.github.com/spec/v1
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oid sha256:e572f356680b1a8a7811916aae38052a9c92c12ca2cd1370828224f334ac5dea
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size 696781331
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checkpoints/mrms/3km_10min_flash/expert_2.mdlus
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version https://git-lfs.github.com/spec/v1
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oid sha256:d690fa0e363abaff772978fd662ebe15dfd47f3647acfc196906a9a70e2aa2b8
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size 694418497
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mrms_forecast_skill.csv
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Metric,Model,30 min,60 min,120 min,180 min
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Object CSI,StormScope,0.685,0.533,0.335,0.220
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Object CSI,StormScope Flash,0.688,0.532,0.315,0.204
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CSI 40 dBZ,StormScope,0.597,0.479,0.348,0.271
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CSI 40 dBZ,StormScope Flash,0.593,0.464,0.326,0.246
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CSI 55 dBZ,StormScope,0.274,0.170,0.068,0.028
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CSI 55 dBZ,StormScope Flash,0.286,0.167,0.060,0.024
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pFSS 40 dBZ,StormScope,0.907,0.788,0.588,0.449
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pFSS 40 dBZ,StormScope Flash,0.913,0.800,0.593,0.433
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pFSS 55 dBZ,StormScope,0.719,0.502,0.201,0.064
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pFSS 55 dBZ,StormScope Flash,0.735,0.490,0.137,0.036
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mrms_forecast_skill.md
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# StormScope Flash: MRMS forecasting skill
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We evaluate composite radar-reflectivity forecasts from StormScope and its distilled StormScope Flash variant at 3 km spatial and 10-minute temporal resolution. Higher scores indicate greater forecast skill; a score of 1 denotes a perfect forecast.
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## Evaluation
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The evaluation comprises 929 cases initialized between 4 March and 9 August 2025. Both models generate coupled GOES and MRMS/GLM forecasts over the full 1024 × 1792 CONUS grid. Forecasts are extracted over the corresponding evaluation regions and verified against observed MRMS composite reflectivity on the 3 km grid at matching valid times. Each forecast comprises 16 ensemble members and 18 ten-minute lead times, extending to 180 minutes. StormScope Flash requires five GOES and seven MRMS/GLM network evaluations per forecast step.
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Deterministic metrics use the first ensemble member (member 0); probabilistic metrics use all 16 members.
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## Metrics
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**Object CSI.** Storm objects are identified as connected regions with reflectivity ≥40 dBZ, an embedded ≥45 dBZ core, and an area of at least 12 grid cells (108 km²). Forecast and observed objects are matched one-to-one based on centroid and boundary distances, using 40 km cutoffs, area-ratio weighting, and a total interest score >0.2. Object-based CSI is then calculated as H / (H + F + M), where H denotes hits, F false alarms, and M misses.
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**Neighborhood CSI at 40 and 55 dBZ.** Forecast and observed threshold-exceedance fields are each dilated using an 11 × 11-cell (33 × 33 km) window before calculating CSI from the resulting contingency counts.
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**Probabilistic Fractions Skill Score (pFSS).** Threshold-exceedance fractions are calculated over the same 11 × 11-cell window. Forecast fractions are averaged across the 16 members and compared with the observed fractions: pFSS = 1 − Σ(f − o)² / Σ(f² + o²), where f and o denote forecast and observed neighborhood fractions.
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## Forecast skill
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| Metric | Model | +30 min | +60 min | +120 min | +180 min |
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|:--|:--|--:|--:|--:|--:|
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| Object CSI | StormScope | 0.685 | 0.533 | 0.335 | 0.220 |
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| Object CSI | **StormScope Flash ⚡** | 0.688 | 0.532 | 0.315 | 0.204 |
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| CSI 40 dBZ | StormScope | 0.597 | 0.479 | 0.348 | 0.271 |
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| CSI 40 dBZ | **StormScope Flash ⚡** | 0.593 | 0.464 | 0.326 | 0.246 |
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| CSI 55 dBZ | StormScope | 0.274 | 0.170 | 0.068 | 0.028 |
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| CSI 55 dBZ | **StormScope Flash ⚡** | 0.286 | 0.167 | 0.060 | 0.024 |
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| pFSS 40 dBZ | StormScope | 0.907 | 0.788 | 0.588 | 0.449 |
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| pFSS 40 dBZ | **StormScope Flash ⚡** | 0.913 | 0.800 | 0.593 | 0.433 |
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| pFSS 55 dBZ | StormScope | 0.719 | 0.502 | 0.201 | 0.064 |
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| pFSS 55 dBZ | **StormScope Flash ⚡** | 0.735 | 0.490 | 0.137 | 0.036 |
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[Download PDF](mrms_forecast_skill.pdf) · [Download table values](mrms_forecast_skill.csv).
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mrms_forecast_skill.pdf
ADDED
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Binary file (76.1 kB). View file
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registry.json
CHANGED
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@@ -120,6 +120,60 @@
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"nexrad_proximity": false,
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"glm_channels": 0,
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"obs_layout": "time_interleaved"
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}
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},
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"aliases": {
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"n_steps": 6,
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"glm_normalization": "log1p",
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"obs_layout": "time_interleaved",
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-
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},
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"6km_1hr": {
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"description": "6 km / 60 min MRMS nearcasting (legacy)",
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"nexrad_proximity": false,
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"glm_channels": 0,
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"obs_layout": "time_interleaved"
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}
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},
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"aliases": {
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"nexrad_proximity": false,
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"glm_channels": 0,
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"obs_layout": "time_interleaved"
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},
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"3km_10min_flash": {
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"variables": [
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"abi01c",
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"abi02c",
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"abi03c",
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"abi07c",
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"abi08c",
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"abi09c",
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"abi10c",
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"abi13c"
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],
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"conditioning_vars": [],
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"image_size": [
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1024,
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1792
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],
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"spatial_downsample": 1,
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"sliding_window": true,
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"step_interval": 10,
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"n_steps": 6,
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"topo": true,
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"nexrad_proximity": false,
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"mrms_coverage_mask": false,
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"flash": true,
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"region_calls": {
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"high": 1,
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"middle": 1,
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"low": 3
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},
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"checkpoints": [
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{
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"name": "high",
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"path": "checkpoints/goes/3km_10min_flash/expert_2.mdlus",
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"deployment_sha256": "6e761285cc87e4d8088cb7fdbebd94c7e7e135b81306d4d0152c27649e40eafd",
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"deployment_size_bytes": 697968031,
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"deployment_format": "flash-mdlus-v1"
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},
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{
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"name": "middle",
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"path": "checkpoints/goes/3km_10min_flash/expert_1.mdlus",
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"deployment_sha256": "0c860c5ef5088ea7a2718231d50c5026438d5d99e774e28db64845c3ee29a31e",
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"deployment_size_bytes": 704268145,
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"deployment_format": "flash-mdlus-v1"
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},
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{
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"name": "low",
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"path": "checkpoints/goes/3km_10min_flash/expert_0.mdlus",
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"deployment_sha256": "de2f5a2127f62d6dd868a8c4043c033604b77ca5492b9cd0de9aa5a6cd277e83",
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"deployment_size_bytes": 723168495,
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"deployment_format": "flash-mdlus-v1"
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}
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],
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"description": "StormScope Flash GOES - 3 km / 10 min"
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}
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},
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"aliases": {
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"n_steps": 6,
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"glm_normalization": "log1p",
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"obs_layout": "time_interleaved",
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"mrms_coverage_mask": "true"
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},
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"6km_1hr": {
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"description": "6 km / 60 min MRMS nearcasting (legacy)",
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"nexrad_proximity": false,
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"glm_channels": 0,
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"obs_layout": "time_interleaved"
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},
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"3km_10min_flash": {
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"variables": [
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"refc",
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"refc_base",
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"glm_density"
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],
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"conditioning_vars": [
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"abi01c",
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"abi02c",
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"abi03c",
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"abi07c",
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"abi08c",
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"abi09c",
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"abi10c",
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"abi13c"
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],
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"image_size": [
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1024,
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1792
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],
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"spatial_downsample": 1,
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"sliding_window": true,
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"step_interval": 10,
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"n_steps": 6,
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"topo": true,
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"nexrad_proximity": true,
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"mrms_coverage_mask": true,
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"flash": true,
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"region_calls": {
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"high": 1,
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"middle": 1,
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"low": 5
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},
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"checkpoints": [
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{
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"name": "high",
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"path": "checkpoints/mrms/3km_10min_flash/expert_2.mdlus",
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