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  1. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_01.jpg +3 -0
  2. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_01.txt +1 -0
  3. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_02.jpg +3 -0
  4. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_02.txt +1 -0
  5. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_03.jpg +3 -0
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  10. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_05.txt +1 -0
  11. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_06.jpg +3 -0
  12. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_06.txt +1 -0
  13. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_07.jpg +3 -0
  14. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_07.txt +1 -0
  15. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_08.jpg +3 -0
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  17. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_09.jpg +3 -0
  18. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_09.txt +1 -0
  19. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_10.jpg +3 -0
  20. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_10.txt +1 -0
  21. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_11.jpg +3 -0
  22. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/figure_11.txt +1 -0
  23. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/graphic_abstract.jpg +3 -0
  24. Media/2023/A. Anwar et al. - 2023 - On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temper/manifest.json +348 -0
  25. Media/2023/A. V. et al. - 2023 - An integrated approach to remove endocrine-disrupt/figure_01.jpg +3 -0
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+ The surface model elevation of the Australian domain (in meters) including the six stations from the Ozflux network.
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+ Averaged infiltration rate (QINFL; in mm day1; a–c); soil moisture at depth 10 cm (SM10; in mm; d–f); vegetation transpiration (QVEGT; in mm day1; g–i); vegetation evaporation (QVEGE; in mm day1; j–l); soil evaporation (QSOIL; fifth row in mm day1; m–o); 2-m relative humidity (RH; sixth row in %; p–r) over the period 2000–2010. For each row, TOP simulation is on the left, VIC simulation is in the middle and the difference between the two simulations on the right (VIC minus TOP; Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Averaged solar radiation absorbed by ground (SABG; in W m2; a–c); solar radiation absorbed by ground (SABV; in W m2; d–f); sensible heat flux from ground (SHG; in W m2; g–i); and sensible heat flux from vegetation (SHV; in W m2; j–l) over the period 2000–2010. For each row, TOP simulation is on the left, VIC simulation is in the middle, and the difference between the two simulations on the right (VIC minus TOP; Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Averaged latent heat flux (LE) over the period 2000–2010 (in W m2) for each austral season (MAM a–f; JJA g–l; SON m–r; and DJF s–x). For each row, TOP is the first panel on the left, VIC is the second panel from the left, and ERA5 reanalysis product is the third from left, then the fourth (TOP minus ERA5) and fifth (VIC minus ERA5) panels are the model bias for each simulation against the ERA5 data and the difference between the two simulations (Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Averaged sensible heat flux (SHF) over the period 2000–2010 (in W m2) for each austral season (MAM a–f; JJA g–l; SON m–r; and DJF s–x). For each row, TOP is the first panel on the left, VIC is the second panel from the left, and ERA5 reanalysis product is the third from left, then the fourth (TOP minus ERA5) and fifth (VIC minus ERA5) panels are the model bias for each simulation against the ERA5 data and the difference between the two simulations (Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Averaged total cloud cover (TCC) over the period 2000–2010 (in %) for each austral season (MAM a–f; JJA g–l; SON m–r; and DJF s–x). For each row, TOP is the first panel on the left, VIC is the second panel from the left, and ERA5 reanalysis product is the third from left, then the fourth (TOP minus ERA5) and fifth (VIC minus ERA5) panels are the model bias for each simulation against the ERA5 data and the difference between the two simulations (Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Averaged surface net radiation (Rn) over the period 2000–2010 (in W m2) for each austral season (MAM a–f; JJA g–l; SON m–r; and DJF s–x). For each row, TOP is the first panel on the left, VIC is the second panel from the left, and ERA5 reanalysis product is the third from left, then the fourth (TOP minus ERA5) and fifth (VIC minus ERA5) panels are the model bias for each simulation against the ERA5 data and the difference between the two simulations (Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Averaged 2-m maximum air temperature (TMX) over the period 2000–2010 (in °C) for each austral season (MAM a–f; JJA g–l; SON m–r; and DJF s–x). For each row, TOP is the first panel on the left, VIC is the second panel from the left, and Century reanalysis product is the third from left, then the fourth (TOP minus Century) and fifth (VIC minus Century) panels are the model bias for each simulation against the Century data and the difference between the two simulations (Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Averaged 2-m minimum air temperature (TMN) over the period 2000–2010 (in °C) for each austral season (MAM a–f; JJA g–l; SON m–r; and DJF s–x). For each row, TOP is the first panel on the left, VIC is the second panel from the left, and Century reanalysis product is the third from left, then the fourth (TOP minus Century) and fifth (VIC minus Century) panels are the model bias for each simulation against the Century data and the difference between the two simulations (Diff). Significant changes are indicated in black dots using the Student’s t-test with α ¼ 0.05.
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+ Climatological seasonal cycle of the 2-m mean air temperature (in °C) as simulated by the RegCM4 model (in blue) with respect to station observation retrieved from the Ozflux network (in red) over the period 2000–2010. (a) Adelaide River, (b) Alice Springs, (c) Howard Springs, (d) Robson Creek, (e) Yanco, and (f) Tumbarumba. Please refer to the online version of this paper to see this figure in colour: https:// dx.doi.org/10.2166/wcc.2023.512.
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+ Taylor diagram for RegCM4 performance in capturing the monthly variability of TMP for the stations: Adelaide River, Alice Springs, Howard Springs, Robson Creek, Yanco, and Tumbarumba.
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