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Satellite Remote Sensing in Hydrological Data Assimilation / / by Mehdi Khaki



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Autore: Khaki Mehdi Visualizza persona
Titolo: Satellite Remote Sensing in Hydrological Data Assimilation / / by Mehdi Khaki Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XV, 290 p. 101 illus., 88 illus. in color.)
Disciplina: 551.48011
Soggetto topico: Physical geography
Hydrology
Remote sensing
Computer mathematics
Statistics 
Earth System Sciences
Hydrology/Water Resources
Remote Sensing/Photogrammetry
Computational Mathematics and Numerical Analysis
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Nota di contenuto: Part 1: Hydrological Data Assimilation -- Chapter 1 - Introduction -- Chapter 2 - Data assimilation and remote sensing data -- Part 2: Model-Data -- Chapter 3 - Hydrologic model -- Chapter 4 - Remote sensing for assimilation -- Part 3 : Data Assimilation Filters -- Chapter 5 - Sequential Data Assimilation Techniques for Data Assimilation -- Part 4 : GRACE Data Assimilation -- Chapter 6 - Efficient Assimilation of GRACE TWS into Hydrological Models -- Part 5 : Water Budget Constraint -- Chapter 7 - Constrained Data Assimilation Filtering -- Chapter 8 - Unsupervised Constraint for Hydrologic Data Assimilation -- Part 6 : Data-driven Approach -- Chapter 9 - Non-parametric Hydrologic Data Assimilation -- Chapter 10 - Parametric and Non-parametric Data Assimilation Frameworks -- Part 7 Hydrologic Applications -- Chapter 11- Groundwater Depletion over Iran -- Chapter 12 - Water Storage Variations over Bangladesh -- Chapter 13 - Multi-mission Satellite Data Assimilation over South America. .
Sommario/riassunto: This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.
Titolo autorizzato: Satellite Remote Sensing in Hydrological Data Assimilation  Visualizza cluster
ISBN: 3-030-37375-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910373880003321
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