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...
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Year of Publication: | 2019 |
Language: | English |
Physical Description: | 1 electronic resource (262 pages) |
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Ruston, Benjamin author. Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications MDPI - Multidisciplinary Digital Publishing Institute, 2019 1 electronic resource (262 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star 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. English direct and inverse methods absorption coefficient emissivity land-surface model 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 3-03921-064-5 Karbou, Fatima author. Trigo, Isabel F. author. Balsamo, Gianpaolo author. Escobar, Vanessa M. author. Drusch, Matthias author. Mecklenburg, Susanne auth |
language |
English |
format |
eBook |
author |
Ruston, Benjamin Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias |
spellingShingle |
Ruston, Benjamin Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
author_facet |
Ruston, Benjamin Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Mecklenburg, Susanne |
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b r br f k fk i f t if ift g b gb v m e vm vme m d md |
author_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author2 |
Karbou, Fatima Trigo, Isabel F. Balsamo, Gianpaolo Escobar, Vanessa M. Drusch, Matthias Mecklenburg, Susanne |
author2_variant |
s m sm |
author2_role |
TeilnehmendeR TeilnehmendeR TeilnehmendeR TeilnehmendeR TeilnehmendeR |
author_sort |
Ruston, Benjamin |
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_auth |
Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
title_new |
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 |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute, |
publishDate |
2019 |
physical |
1 electronic resource (262 pages) |
isbn |
3-03921-065-3 3-03921-064-5 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT rustonbenjamin advancingearthsurfacerepresentationviaenhanceduseofearthobservationsinmonitoringandforecastingapplications AT karboufatima advancingearthsurfacerepresentationviaenhanceduseofearthobservationsinmonitoringandforecastingapplications AT trigoisabelf advancingearthsurfacerepresentationviaenhanceduseofearthobservationsinmonitoringandforecastingapplications AT balsamogianpaolo advancingearthsurfacerepresentationviaenhanceduseofearthobservationsinmonitoringandforecastingapplications AT escobarvanessam advancingearthsurfacerepresentationviaenhanceduseofearthobservationsinmonitoringandforecastingapplications AT druschmatthias advancingearthsurfacerepresentationviaenhanceduseofearthobservationsinmonitoringandforecastingapplications AT mecklenburgsusanne advancingearthsurfacerepresentationviaenhanceduseofearthobservationsinmonitoringandforecastingapplications |
status_str |
n |
ids_txt_mv |
(CKB)4100000010106086 (oapen)https://directory.doabooks.org/handle/20.500.12854/40380 (EXLCZ)994100000010106086 |
carrierType_str_mv |
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Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
author2_original_writing_str_mv |
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