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...

Full description

Bibliographic Details
Other Authors:	Calvet, Jean-Christophe (auth), De Rosnay, Patricia, Penny, Stephen G.
Format:	eBook
Language:	Inglés
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:	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
See on Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009433813806719