Soil moisture in Tibet
derived from satellite obsevations
C. Simmer and R. Lindau University of Bonn
ANOVA of Soil Moisture measurements
Variance in mm2 Number
of bins Error of the total
mean
Seeming external variance
Error of external
means
Internal
variance True external variance
Relative external variance
Annual Cycle 36 2 388 51 10343 338 3.16%
Interstation 48 2 9133 10 1558 9123 85.40%
Interannual 8 2 39 12 10654 26 0.25%
Total variance External variance Internal variance
= Variance between + Mean variance the means of the within the subsamples subsamples
Local longtime means
single cumulative
Climatolog. rain 58.6 58.6
Soil texture 0.5 69.0
Vegetation 37.7 72.8
Terrain slope 2.8 73.0
73% of the soil moisture variance is explained by four parameters :
Two-step Retrieval
Climatological mean derived from:
• Longterm precipitation
• Soil texture
• Vegetation density
• Terrain slope
Temporal anomalies from:
• Brightness temperatures at 10 GHz
• Anomalies of rain and air temperature
+
Application: DEKLIM
BALTIMOS within DEKLIM (Deutsches
Klimaforschungsprogramm):
Validation of a 10-years climate run of the regional model REMO using SMMR.
Example: Oder catchment
R. Lindau and C. Simmer: Derivation of a root zone soil moisture algorithm and its
application to validate model data. Nordic Hydrology, accepted for publ.
Application: AMSR
GEOLAND within GMES (Global Monitoring for Environment and Security):
Derivation of global soil moisture fields from AMSR
M. Leroy, R. Lacaze, R. Lindau, F. Oleson, L.
Pessanha, I. Piccard, A. Rosema, J-L.
Roujean, F. Rubel, W. Wagner, M. Weiss, 2004: Towards a European Service Center for Monitoring land surfaces at global and regional Scales: The GEOLAND/ CSP Project
International Archives of Photogrammetry and Remote Sensing, XXth ISPRS Congress, Istanbul, 35 (B4), 783-790.
Longterm meanTemporal anomaly
Mean Soil Moisture in Tibet
• The longtime mean field is
characterized by strong gradients
Three points on the above section show decreasing soil moisture towards NW with a minimum in August
Annual Cycle
Feb
Aug
May
Nov