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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Bibliographic Details
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
4D-Var
4D-Var data assimilation
accuracy
analog data assimilation
atmospheric models
bending angle
data assimilation
data-driven methods
drought
Earth system models
floods soil moisture
fluorescence
GPM IMERG
GPSRO
GRACE
GSI
interpolation
land data assimilation
land data assimilation system
land surface model
land surface modeling
land surface models
MCA analysis
Mediterranean basin
merged CMORPH
microwave remote sensing
numerical weather prediction
ocean models
ocean-atmosphere assimilation
precipitation
radio occultation data
rainfall
rainfall correction
rainfall-runoff simulation
remote sensing
sea level anomaly
sea surface height
SMAP
soil moisture
temperature
total cloud cover
total water storage
TRMM 3B42
vegetation
weakly coupled data assimilation
WRF
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