Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications
The representation of the Earth's surface in global monitoring and forecasting applications is moving towards capturing more of the relevant processes, while maintaining elevated computational efficiency and therefore a moderate complexity. These schemes are developed and continuously improved thank...
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| Autori principali: | , , , , , , |
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| Natura: | Online |
| Lingua: | inglese |
| Pubblicazione: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Accesso online: | 42495 |
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| _version_ | 1869521328440082432 |
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| author | Ruston, Benjamin Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Mecklenburg, Susanne |
| author_browse | Balsamo, Gianpaolo Drusch, Matthias Escobar, Vanessa M. Karbou, Fatima Mecklenburg, Susanne Ruston, Benjamin Trigo, Isabel F. |
| author_facet | Ruston, Benjamin Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Mecklenburg, Susanne |
| author_sort | Ruston, Benjamin |
| collection | Directory of Open Access Books |
| description | The representation of the Earth's surface in global monitoring and forecasting applications is moving towards capturing more of the relevant processes, while maintaining elevated computational efficiency and therefore a moderate complexity. These schemes are developed and continuously improved thanks to well instrumented field-sites that can observe coupled processes occurring at the surface–atmosphere interface (e.g., forest, grassland, cropland areas and diverse climate zones). Approaching global kilometer-scale resolutions, in situ observations alone cannot fulfil the modelling needs, and the use of satellite observation becomes essential to guide modelling innovation and to calibrate and validate new parameterization schemes that can support data assimilation applications. In this book, we review some of the recent contributions, highlighting how satellite data are used to inform Earth surface model development (vegetation state and seasonality, soil moisture conditions, surface temperature and turbulent fluxes, land-use change detection, agricultural indicators and irrigation) when moving towards global km-scale resolutions. |
| format | Online |
| id | doab-20.500.12854ir-40380 |
| 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-403802023-12-20T18:40:24Z Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications Ruston, Benjamin Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Mecklenburg, Susanne Q1-390 direct and inverse methods absorption coefficient emissivity land-surface model n/a variational retrieval temporal autocorrelation Bayesian bias correction hyperspectral infrared BRDF satellite rainfall MCD43C1 penetration depth RTTOV earth-observations earth system modelling representative depth land Changjiang (Yangtze) estuary CDOM soil moisture surface Maqu network surface soil moisture MODIS soil effective temperature GOCI microwave remote sensing rain gauge QAA inversion broadband emissivity radiation surface parameters satellite data East Africa bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general The representation of the Earth's surface in global monitoring and forecasting applications is moving towards capturing more of the relevant processes, while maintaining elevated computational efficiency and therefore a moderate complexity. These schemes are developed and continuously improved thanks to well instrumented field-sites that can observe coupled processes occurring at the surface–atmosphere interface (e.g., forest, grassland, cropland areas and diverse climate zones). Approaching global kilometer-scale resolutions, in situ observations alone cannot fulfil the modelling needs, and the use of satellite observation becomes essential to guide modelling innovation and to calibrate and validate new parameterization schemes that can support data assimilation applications. In this book, we review some of the recent contributions, highlighting how satellite data are used to inform Earth surface model development (vegetation state and seasonality, soil moisture conditions, surface temperature and turbulent fluxes, land-use change detection, agricultural indicators and irrigation) when moving towards global km-scale resolutions. 2021-02-11T07:52:04Z 2021-02-11T07:52:04Z 2019-12-09 11:49:15 2019 book 42495 9783039210640 9783039210657 https://directory.doabooks.org/handle/20.500.12854/40380 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1510 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-065-7 10.3390/books978-3-03921-065-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039210640 9783039210657 262 open access |
| spellingShingle | Q1-390 direct and inverse methods absorption coefficient emissivity land-surface model n/a variational retrieval temporal autocorrelation Bayesian bias correction hyperspectral infrared BRDF satellite rainfall MCD43C1 penetration depth RTTOV earth-observations earth system modelling representative depth land Changjiang (Yangtze) estuary CDOM soil moisture surface Maqu network surface soil moisture MODIS soil effective temperature GOCI microwave remote sensing rain gauge QAA inversion broadband emissivity radiation surface parameters satellite data East Africa bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general Ruston, Benjamin Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Mecklenburg, Susanne Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
| title | Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
| title_full | Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
| title_fullStr | Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
| title_full_unstemmed | Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
| title_short | Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
| title_sort | advancing earth surface representation via enhanced use of earth observations in monitoring and forecasting applications |
| topic | Q1-390 direct and inverse methods absorption coefficient emissivity land-surface model n/a variational retrieval temporal autocorrelation Bayesian bias correction hyperspectral infrared BRDF satellite rainfall MCD43C1 penetration depth RTTOV earth-observations earth system modelling representative depth land Changjiang (Yangtze) estuary CDOM soil moisture surface Maqu network surface soil moisture MODIS soil effective temperature GOCI microwave remote sensing rain gauge QAA inversion broadband emissivity radiation surface parameters satellite data East Africa bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general |
| topic_facet | Q1-390 direct and inverse methods absorption coefficient emissivity land-surface model n/a variational retrieval temporal autocorrelation Bayesian bias correction hyperspectral infrared BRDF satellite rainfall MCD43C1 penetration depth RTTOV earth-observations earth system modelling representative depth land Changjiang (Yangtze) estuary CDOM soil moisture surface Maqu network surface soil moisture MODIS soil effective temperature GOCI microwave remote sensing rain gauge QAA inversion broadband emissivity radiation surface parameters satellite data East Africa bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general |
| url | 42495 |
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