TY  - GEN
AU  - Calvet,Jean-Christophe
AU  - De Rosnay,Patricia
AU  - Penny,Stephen G.
TI  - Assimilation of Remote Sensing Data into Earth System Models
SN  - books978-3-03921-641-3
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - land data assimilation system
KW  - land data assimilation
KW  - rainfall-runoff simulation
KW  - 4D-Var data assimilation
KW  - total water storage
KW  - accuracy
KW  - ocean-atmosphere assimilation
KW  - precipitation
KW  - Earth system models
KW  - numerical weather prediction
KW  - fluorescence
KW  - GRACE
KW  - MCA analysis
KW  - weakly coupled data assimilation
KW  - GPM IMERG
KW  - atmospheric models
KW  - rainfall correction
KW  - remote sensing
KW  - microwave remote sensing
KW  - SMAP
KW  - land surface modeling
KW  - bending angle
KW  - floods soil moisture
KW  - vegetation
KW  - GPSRO
KW  - WRF
KW  - merged CMORPH
KW  - land surface model
KW  - temperature
KW  - 4D-Var
KW  - data assimilation
KW  - data-driven methods
KW  - GSI
KW  - radio occultation data
KW  - rainfall
KW  - soil moisture
KW  - sea level anomaly
KW  - total cloud cover
KW  - land surface models
KW  - Mediterranean basin
KW  - interpolation
KW  - sea surface height
KW  - drought
KW  - TRMM 3B42
KW  - analog data assimilation
KW  - ocean models
N1  - Open Access
N2  - 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. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean-atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean-atmosphere, land-atmosphere, and soil-vegetation data assimilation
UR  - https://mdpi.com/books/pdfview/book/1818
UR  - https://directory.doabooks.org/handle/20.500.12854/41454
ER  -