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GEM in the GEWEX Transferability Study Zav Kothavala, Colin Jones, Katja Winger, Bernard Dugas & Ayrton Zadra.

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Presentation on theme: "GEM in the GEWEX Transferability Study Zav Kothavala, Colin Jones, Katja Winger, Bernard Dugas & Ayrton Zadra."— Presentation transcript:

1 GEM in the GEWEX Transferability Study Zav Kothavala, Colin Jones, Katja Winger, Bernard Dugas & Ayrton Zadra

2 Introduction To determine that Regional Climate Models can realistically simulate the climate variability in all regions of the globe, we want to develop parameterizations that are evaluated against observations in all possible climates. Regional atmospheric climate Models from different Continental Scale Experiments (CSE) were transferred from their “native domain” to other continents involved in the Inter-CSE Transferability Study (ICTS) - GEWEX project.

3 The ICTS Regional Climate Modeling protocol aims to capitalise on the global coverage offered by CEOP observations to assess and improve the global transferability of RCMs Unmodified RCMs were run on a variety of domains around the globe

4 Participating RCMs RCA3Rossby Centre (Sweden) CLMGKSS Research Centre (Germany) RSMScripps Institution of Oceanography (USA) RegCM3Iowa State University (USA) GEM-LAMRPN Environment Canada (Canada) MRCCOuranos-UQAM, Montréal (Canada)

5 GEM-LAM characteristics Coté et al., MWR (1998); version 3.2.1 Hydrostatic primitive equations Rotated grid on lat lon projection (0.5 degree horizontal resolution) 53 hybrid vertical levels (top at ~10 hPa) 30 minute timestep - period: 2000/01/01 – 2004/12/31 Solar constant 1367 kw/Wm 2 Constant GHG concentrations Deep convection (Kain-Fritsch) & shallow convection Simple super-saturation based large-scale condensation ISBA land-surface scheme Boundary forcing every 6 hours with NCEP2 reanalyses

6 Barrow, Alaska 71.3N 156.6E

7 Simulations in Arctic climates (Barrow, Alaska)

8 Barrow, Alaska: Radiation fluxes SW upLW upSW downLW down

9 Barrow: Native domain freq. distribution (Surface temperature)

10 Barrow: Native domain freq. distribution (Precipitation)

11 Barrow: Native domain freq. distribution (wind speed)

12 Barrow: Diurnal Cycle 2003-2004 (surface temperature)

13 Manaus: Brazil - 2.61S 60.21W

14 Non-native domain (Manaus: Brazil - 2.61S 60.21W )

15 Manaus: frequency histograms (Surface temperature)

16 Manaus: frequency histograms (Total daily precipitation)

17 Manaus: Frequency distribution (wind speed)

18 Simulations on non-native domain: Equatorial Island

19 Summary Goal is to evaluate how RCMs simulate the diurnal cycle of temperature, precipitation and the heat fluxes in non-native domains In general the temperature and radiation fields are closer to the observations in native domains compared to non-native domains. Precipitation and fluxes differ from the observed in native and non-native doimains. Ongoing analyses in collaboration with individiual modelling groups to ascertain reasons for variations and possible fixes.

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