Satellite Remote Sensing in Hydrological Data Assimilation, Mehdi Khaki (9783030373740) — Readings Books
Satellite Remote Sensing in Hydrological Data Assimilation
Hardback

Satellite Remote Sensing in Hydrological Data Assimilation

$358.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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.

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Format
Hardback
Publisher
Springer Nature Switzerland AG
Country
Switzerland
Date
4 January 2020
Pages
290
ISBN
9783030373740

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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.

Read More
Format
Hardback
Publisher
Springer Nature Switzerland AG
Country
Switzerland
Date
4 January 2020
Pages
290
ISBN
9783030373740