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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aSatellite Remote Sensing in Hydrological Data Assimilation$b[electronic resource] /$fby Mehdi Khaki
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (XV, 290 p. 101 illus., 88 illus. in color.) 
311   $a3-030-37374-6 
327   $aPart 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 - Ef?cient 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. .
330   $aThis 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.
606   $aPhysical geography
606   $aHydrology
606   $aRemote sensing
606   $aComputer mathematics
606   $aStatistics 
606   $aEarth System Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/G35000
606   $aHydrology/Water Resources$3https://scigraph.springernature.com/ontologies/product-market-codes/211000
606   $aRemote Sensing/Photogrammetry$3https://scigraph.springernature.com/ontologies/product-market-codes/J13010
606   $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X
606   $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020
615  0$aPhysical geography.
615  0$aHydrology.
615  0$aRemote sensing.
615  0$aComputer mathematics.
615  0$aStatistics .
615 14$aEarth System Sciences.
615 24$aHydrology/Water Resources.
615 24$aRemote Sensing/Photogrammetry.
615 24$aComputational Mathematics and Numerical Analysis.
615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
676   $a551.48011 
700   $aKhaki$b Mehdi$4aut$4http://id.loc.gov/vocabulary/relators/aut$0855601
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a9910373880003321
996   $aSatellite Remote Sensing in Hydrological Data Assimilation$91910234
997   $aUNINA