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...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | 42659 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1869519338297360384 |
|---|---|
| author | Calvet, Jean-Christophe De Rosnay, Patricia Penny, Stephen G. |
| author_browse | Calvet, Jean-Christophe De Rosnay, Patricia Penny, Stephen G. |
| author_facet | Calvet, Jean-Christophe De Rosnay, Patricia Penny, Stephen G. |
| author_sort | Calvet, Jean-Christophe |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-41454 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-414542023-12-20T18:40:23Z Assimilation of Remote Sensing Data into Earth System Models Calvet, Jean-Christophe De Rosnay, Patricia Penny, Stephen G. Q1-390 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general 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. 2021-02-11T08:35:45Z 2021-02-11T08:35:45Z 2019-12-09 11:49:16 2019 book 42659 9783039216406 9783039216413 https://directory.doabooks.org/handle/20.500.12854/41454 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1818 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-641-3 10.3390/books978-3-03921-641-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039216406 9783039216413 236 open access |
| spellingShingle | Q1-390 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general Calvet, Jean-Christophe De Rosnay, Patricia Penny, Stephen G. Assimilation of Remote Sensing Data into Earth System Models |
| 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_short | Assimilation of Remote Sensing Data into Earth System Models |
| title_sort | assimilation of remote sensing data into earth system models |
| topic | Q1-390 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general |
| topic_facet | Q1-390 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general |
| url | 42659 |
| work_keys_str_mv | AT calvetjeanchristophe assimilationofremotesensingdataintoearthsystemmodels AT derosnaypatricia assimilationofremotesensingdataintoearthsystemmodels AT pennystepheng assimilationofremotesensingdataintoearthsystemmodels |