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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Year of Publication: | 2019 |
Language: | English |
Physical Description: | 1 electronic resource (236 p.) |
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Calvet, Jean-Christophe auth Assimilation of Remote Sensing Data into Earth System Models MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (236 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star 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. English 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 3-03921-640-6 De Rosnay, Patricia auth Penny, Stephen G. auth |
language |
English |
format |
eBook |
author |
Calvet, Jean-Christophe |
spellingShingle |
Calvet, Jean-Christophe Assimilation of Remote Sensing Data into Earth System Models |
author_facet |
Calvet, Jean-Christophe De Rosnay, Patricia Penny, Stephen G. |
author_variant |
j c c jcc |
author2 |
De Rosnay, Patricia Penny, Stephen G. |
author2_variant |
r p d rp rpd s g p sg sgp |
author_sort |
Calvet, Jean-Christophe |
title |
Assimilation of Remote Sensing Data into Earth System Models |
title_full |
Assimilation of Remote Sensing Data into Earth System Models |
title_fullStr |
Assimilation of Remote Sensing Data into Earth System Models |
title_full_unstemmed |
Assimilation of Remote Sensing Data into Earth System Models |
title_auth |
Assimilation of Remote Sensing Data into Earth System Models |
title_new |
Assimilation of Remote Sensing Data into Earth System Models |
title_sort |
assimilation of remote sensing data into earth system models |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
physical |
1 electronic resource (236 p.) |
isbn |
3-03921-641-4 3-03921-640-6 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT calvetjeanchristophe assimilationofremotesensingdataintoearthsystemmodels AT derosnaypatricia assimilationofremotesensingdataintoearthsystemmodels AT pennystepheng assimilationofremotesensingdataintoearthsystemmodels |
status_str |
n |
ids_txt_mv |
(CKB)4100000010106280 (oapen)https://directory.doabooks.org/handle/20.500.12854/41454 (EXLCZ)994100000010106280 |
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Assimilation of Remote Sensing Data into Earth System Models |
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