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Satellite Remote Sensing in Hydrological Data Assimilation

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Satellite Remote Sensing in Hydrological Data Assimilation/ by Mehdi Khaki.
作者:	Khaki, Mehdi.
面頁冊數:	XV, 290 p. 101 illus., 88 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. -
電子資源:	https://doi.org/10.1007/978-3-030-37375-7
ISBN:	9783030373757

Satellite Remote Sensing in Hydrological Data Assimilation
Khaki, Mehdi.

Satellite Remote Sensing in Hydrological Data Assimilation[electronic resource] /by Mehdi Khaki. - 1st ed. 2020. - XV, 290 p. 101 illus., 88 illus. in color.online resource.

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. .

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.

ISBN: 9783030373757

Standard No.: 10.1007/978-3-030-37375-7doiSubjects--Topical Terms:

782247
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

LC Class. No.: GB3-5030

Dewey Class. No.: 550

Satellite Remote Sensing in Hydrological Data Assimilation
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