Mathematics – Logic
Scientific paper
Jan 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3202404r&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 2, CiteID L02404
Mathematics
Logic
34
Hydrology: Soil Moisture, Atmospheric Processes: Data Assimilation, Hydrology: Land/Atmosphere Interactions (1218, 1631, 3322), Hydrology: Remote Sensing (1640), Hydrology: Estimation And Forecasting
Scientific paper
Global retrievals of surface soil moisture from the Scanning Multichannel Microwave Radiometer for the period 1979-87 are assimilated into the NASA Catchment land surface model as it is driven with surface meteorological data derived from observations. Validation against ground-based measurements in Eurasia and North America from the Global Soil Moisture Data Bank demonstrates a long assumed (but rarely proven) property of soil moisture fields derived from data assimilation - that the assimilation product is superior to either satellite data or model data alone. An analysis of the innovations reveals that the filter is only partially operating within its underlying assumptions and offers clues how spatially distributed model error parameters could further enhance filter performance.
Koster Randal D.
Reichle Rolf H.
No associations
LandOfFree
Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-902327