Assimilation of Remote Sensing Data into Earth System Models

• Main Authors: Calvet, Jean-Christophe, De Rosnay, Patricia, Penny, Stephen G
• 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; Book Industry Communication; 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; Q1-390; radio occultation data; rainfall; rainfall correction; rainfall-runoff simulation; Reference, information & interdisciplinary subjects; remote sensing; Research & information: general; sea level anomaly; sea surface height; SMAP; soil moisture; temperature; total cloud cover; total water storage; TRMM 3B42; vegetation; weakly coupled data assimilation; WRF

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...