1. Review of TERRA developments within COLOBOC J. Helmert, H. Asensio, G. Vogel, M. Lange, B. Ritter

2. Deutscher Wetterdienst Task 4: Revision of TERRA and the associated look-up tables Gather and integrate tested developments of TERRA in official COSMO code - V4.11 2009/11/30 Define a consolidated set of look-up tables EXTPAR (ECOCLIMAP, GLOBCOVER) Find and validate an ‘optimal’ reference configuration of TERRA, using the external parameters developed within task 3.2 with the consolidated look-up tables Benefit: Unification of physics in TERRA standalone, GME, and COSMO Appropriate configuration for all climate regions Tasks

3.  Adaption of improvements in TERRA standalone (F. Ament - ZMAW University Hamburg) into COSMO source code - V4.11 2009/11/30  Incorporation of enhanced external parameters (min. stom. resistance, emissivity, NDVI climatology, clim. soil temperature) – EXTPAR system  Adaptions of look-up tables (ensure backward compatibility) – EXTPAR system  Impact of adaptions in TERRA on soil moisture analysis (SMA) in COSMO-EU (DWD) has to be considered Background

4. Global experiments with GME

5. Long-term trend T2M-Bias

6. Aerosol climatology Emissivity Vegetation climatology (LAI, PLCOV) Minimum stomatal resistance (GLC2000, ECOCLIMAP) Vegetation type albedo Non-uniform root distribution GME configuration

7. External Parameters GME

10. PRS_MIN/LAI_MX ROUTI 1999-2007 PRS_MIN = 150 s/m Small values = efficient evapotranspiration

11. PRS_MIN/LAI June ROUTI 2007-

12. PRS_MIN/LAI June EXP Masson (2003) - Ecoclimap

13. Albedo (snow free): Vegetation albedo ROUTI

14. EXP 7750 Masson (2003) - Ecoclimap Albedo (snow free): Vegetation albedo EXP

15. Global Verification

16. Europe East Sibiria North America EXP 7750 ECOCLIMAP+ALBEDO 02.06.2009-01.07.2009 00 UTC i192f Tropics Africa Tropics America Global Verification SK: -6.03SK: -5.68SK: 1.02 SK: -11.7SK: -6.36SK: -0.79 SK: -8.00SK: -9.8SK: -4.56 SK: 1.99 SK: 2.62 SK: 0.37 SK: 3.64 SK: 5.78SK: 0.78

17. PRS/LAI ratio and vegetation type albedo have strong impact on the split-up of fluxes Positive impact on T_2M and TD_2M in temperate zones Neutral or small negative impact in tropics Since March 2011: Soil moisture analysis (SMA) in GME Conclusions of GME EXP 7750

18. Bias and Stdev T2m over Europe, avg(12, 15 GMT) Soil moisture content over Europe, top layers Soil moisture content over Europe, bottom layers M. Lange Europe T2m Bias decreased by SMA Soil moisture increase during summer! Running time (2009)

19. GME-SMA EXP 109/1009 20110310 - Experiments SMA-Monitoring (M. Lange)

20. Validation Europe T2M Bias and StdvSMA Incr. Mean and Stdv bottom layers SMA Incr. Mean and Stdv top layers

21. Validation Europe T2M Bias and StdvSMA Incr. Mean and Stdv bottom layers Soil moisture W_SO (mm) top layers

22. soil moisture: level 4 Validation

23. soil moisture: level 5 Validation

24. latent heat flux Validation

25. sensible heat flux Validation

26. Verification EUR T2M PS TD2MD TMINTMAX DD FF DD TMIN TMAX VW BIAS RMSE

27. COSMO Experiments

28. Aerosol climatology Emissivity Vegetation climatology (LAI, PLCOV) Minimum stomatal resistance (ECOCLIMAP) Vegetation type albedo COSMO-DE with 65 vertical levels (EXP 8010) Summer period : 25.06.2010-17.07.2010 Non-uniform root distribution Ground water with upward diffusion Soil moisture dependent heat conductivity Start with new model initialisation Tested adaptions in int2lm and TERRA EXP 7928/8010

29. Verification CEU BIAS

30. Verification CEU RMSE

31. Verification CDE

33. History CLM Study (ETH)

34. History CLM Study (ETH)

35. Validation AOD July 2010 Tegen, 1997 Tanre,1984

36. Aerosol climatology – could explain increase in T2M-Bias Emissivity Vegetation climatology (LAI, PLCOV) GLOBCOVER 2009 land use data Minimum stomatal resistance (ECOCLIMAP) Vegetation type albedo Summer period : 01.07.2011-12.08.2011 Non-uniform root distribution Ground water with upward diffusion Soil moisture dependent heat conductivity Start with new model initialisation (8310 ROUTI config CTRL) Tested adaptions in int2lm and TERRA EXP 8309/8310

37. Verification EXP vs CTRL T2M PS TD2MD TMINTMAX DD FF DD TMIN TMAX VW BIAS RMSE 8309/8310 00 UTC 12.07.-12.08.2011

38. Verification EXP vs CTRL T2M PS TD2MD TMINTMAX DD FF DD TMIN TMAX VW BIAS RMSE 8309/8310 12 UTC 12.07.-12.08.2011

39. Verification EXP vs ROUTI T2M PS TD2MD TMINTMAX DD FF DD TMIN TMAX VW BIAS RMSE 8309/ROUTI 00 UTC 12.07.-12.08.2011

40. Verification EXP vs ROUTI T2M PS TD2MD TMINTMAX DD FF DD TMIN TMAX VW BIAS RMSE 8309/ROUTI 12 UTC 12.07.-12.08.2011

41. Results from GME experiments suggest that soil moisture analysis (SMA) has a large impact on the results Difficulties for parameterization changes to outperform SMA Impact of model initialisation is important Improved post-processing required to avoid experiment initialisation from large-scale models Benefit: Unified land-surface scheme for global, regional, and stand-alone application Conclusions and Outlook

42. Verification