Overview
- Is the first independent book in hydrological data assimilation
- Written in a highly scientific but easy to follow style
- Benefits researchers in the fields of hydrology, remote sensing and data assimilation
- Introduces the commonly used filters step by step
- Includes multiple real-world applications of data assimilation in hydrology
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (13 chapters)
-
Front Matter
-
Hydrological Data Assimilation
-
Front Matter
-
-
Model-Data
-
Front Matter
-
-
Data Assimilation Filters
-
Front Matter
-
-
GRACE Data Assimilation
-
Front Matter
-
-
Water Budget Constraint
-
Front Matter
-
-
Data-Driven Approach
-
Front Matter
-
-
Hydrologic Applications
-
Front Matter
-
Keywords
About this book
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.
Authors and Affiliations
About the author
Dr. Mehdi Khaki received his Bachelor of Civil Engineering in Surveying from the University of Tehran (Iran) in 2011. He also holds an M.Sc. in Geodesy from the same institute (2014), and a PhD in Spatial Sciences from Curtin University (Australia). In 2018, he started working as a lecturer at the School of Engineering, at the University of Newcastle (Australia). Mehdi’s research focuses on the application of geodetic and remote sensing techniques and their integration with hydrological models to improve their simulations in various spatial scales. He has developed new satellite data filtering techniques to improve their quality and also new data assimilation methods for integrating multiple satellite-derived measurements, e.g. satellite gravity and soil moisture measurements with hydrologic models. Using these he was able to analyse water storage and its variations, as well as its connection with the anthropogenic and climatic impacts in various parts of the world,such as Australia, Iran, Bangladesh, South America and Africa.
Bibliographic Information
Book Title: Satellite Remote Sensing in Hydrological Data Assimilation
Authors: Mehdi Khaki
DOI: https://doi.org/10.1007/978-3-030-37375-7
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-37374-0Published: 04 January 2020
eBook ISBN: 978-3-030-37375-7Published: 02 January 2020
Edition Number: 1
Number of Pages: XV, 290
Number of Illustrations: 13 b/w illustrations, 88 illustrations in colour
Topics: Earth System Sciences, Hydrology/Water Resources, Remote Sensing/Photogrammetry, Computational Mathematics and Numerical Analysis, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences