Assimilation of Remote Sensing Data into Earth System Models

Assimilation of Remote Sensing Data into Earth System Models

In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring...

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Bibliographische Detailangaben
1. Verfasser: Calvet, Jean-Christophe (auth)
Weitere Verfasser: De Rosnay, Patricia (auth), Penny, Stephen G. (auth)
Format: Buchkapitel
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2019
Schlagworte:
land data assimilation system
land data assimilation
rainfall-runoff simulation
4D-Var data assimilation
total water storage
accuracy
ocean-atmosphere assimilation
precipitation
Earth system models
numerical weather prediction
fluorescence
GRACE
MCA analysis
weakly coupled data assimilation
GPM IMERG
atmospheric models
rainfall correction
remote sensing
microwave remote sensing
SMAP
land surface modeling
bending angle
floods soil moisture
vegetation
GPSRO
WRF
merged CMORPH
land surface model
temperature
4D-Var
data assimilation
data-driven methods
GSI
radio occultation data
rainfall
soil moisture
sea level anomaly
total cloud cover
land surface models
Mediterranean basin
interpolation
sea surface height
drought
TRMM 3B42
analog data assimilation
ocean models
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