Assimilation of Remote Sensing Data into Earth System Models

• Autore principale: Calvet, Jean-Christophe (auth)
• Altri autori: De Rosnay, Patricia (auth), Penny, Stephen G. (auth)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Soggetti: 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
• Accesso online: DOAB: download the publication; DOAB: description of the publication

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...