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Review of
TERRA developmentswithin
COLOBOC
J. Helmert, H. Asensio, G. Vogel, M. Lange, B. Ritter
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
Long-term trend T2M-Bias
• Aerosol climatology• Emissivity• Vegetation climatology (LAI, PLCOV)• Minimum stomatal resistance (GLC2000, ECOCLIMAP)• Vegetation type albedo• Non-uniform root distribution
GME configuration
External Parameters GME
External Parameters GME
External Parameters GME
PRS_MIN/LAI_MX ROUTI 1999-2007PRS_MIN = 150 s/m
Small values = efficient evapotranspiration
PRS_MIN/LAI June ROUTI 2007-
PRS_MIN/LAI June EXP Masson (2003) - Ecoclimap
BSvegveg )1(15.0
Albedo (snow free):
Vegetation albedo ROUTI
EXP 7750Masson (2003) - Ecoclimap
BS
D
E
veg
ff
fveg
)1(
)2.0)1(15.0
1.0(
Albedo (snow free):
Vegetation albedo EXP
Global Verification
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: -5.68 SK: 1.02
SK: -11.7 SK: -6.36 SK: -0.79
SK: -8.00 SK: -9.8 SK: -4.56
SK: 1.99
SK: 2.62
SK: 0.37
SK: 3.64 SK: 5.78 SK: 0.78
• 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
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
EuropeT2m Bias
decreased by SMA
Soil moisture increase during
summer!Running time (2009)
Running time (2009) Running time (2009)
GME-SMA EXP 109/1009
20110310 -
Experiments
SMA-Monitoring (M. Lange)
Validation
Europe
T2M Bias and Stdv SMA Incr. Mean and Stdv
bottom layers
SMA Incr. Mean and Stdv
top layers
Validation
Europe
T2M Bias and Stdv SMA Incr. Mean and Stdv
bottom layers
Soil moisture W_SO (mm)
top layers
soil moisture: level 4
Validation
soil moisture: level 5
Validation
latent heat flux
Validation
sensible heat flux
Validation
Verification EUR
T2M
T2M
PS
PS
TD2MD
TD2MD
TMIN TMAX
DD
FF
FFDD
TMIN TMAX
VW
VW
BIA
SR
MS
E
COSMO Experiments
• 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
Verification CEU BIAS
Verification CEU RMSE
History
CLM Study (ETH)
History
CLM Study (ETH)
• 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
Verification EXP vs CTRL
T2M
T2M
PS
PS
TD2MD
TD2MD
TMIN TMAX
DD
FF
FFDD
TMIN TMAX
VW
VW
BIA
SR
MS
E
8309/8310 00 UTC 12.07.-12.08.2011
Verification EXP vs CTRL
T2M
T2M
PS
PS
TD2MD
TD2MD
TMIN TMAX
DD
FF
FFDD
TMIN TMAX
VW
VW
BIA
SR
MS
E
8309/8310 12 UTC 12.07.-12.08.2011
Verification EXP vs ROUTI
T2M
T2M
PS
PS
TD2MD
TD2MD
TMIN TMAX
DD
FF
FFDD
TMIN TMAX
VW
VW
BIA
SR
MS
E
8309/ROUTI 00 UTC 12.07.-12.08.2011
Verification EXP vs ROUTI
T2M
T2M
PS
PS
TD2MD
TD2MD
TMIN TMAX
DD
FF
FFDD
TMIN TMAX
VW
VW
BIA
SR
MS
E
8309/ROUTI 12 UTC 12.07.-12.08.2011
• 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