Overview
Contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface
Front-edge applications of data assimilation technique to various disciplines in Geosciences
Presents new theories and methodologies in data assimilation
Contains most recent studies in data assimilation
Includes supplementary material: sn.pub/extras
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Table of contents (24 chapters)
Keywords
About this book
Editors and Affiliations
About the editors
Seon Ki Park is Professor of Environmental Science and Engineering and Director of the Severe Storm Research Center at the Ewha Womans University in Seoul, Korea. He obtained a Ph.D. in Meteorology from the University of Oklahoma, M.S. and B.S. in Meteorology from the Seoul National University, Korea. He had worked as a research scientist at University of Oklahoma, University of Maryland and NASA/Goddard Space Flight Center.
Liang Xu is a meteorologist in the data assimilation section, Marine Meteorology Division, Naval Research Laboratory in Monterey, CA. In the past several years, Dr. Xu and his team have been developing, testing, and transitioning the US Navy’s weak constraint mesoscale atmospheric four dimensional variational (4D-Var) data assimilation system, COAMPS-AR, to operation. He is also working on the data assimilation aspects of the land surface processes.
Bibliographic Information
Book Title: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)
Editors: Seon Ki Park, Liang Xu
DOI: https://doi.org/10.1007/978-3-319-43415-5
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-43414-8Published: 09 January 2017
Softcover ISBN: 978-3-319-82818-3Published: 07 July 2018
eBook ISBN: 978-3-319-43415-5Published: 26 December 2016
Edition Number: 1
Number of Pages: XXXVI, 553
Number of Illustrations: 61 b/w illustrations, 155 illustrations in colour
Topics: Math. Appl. in Environmental Science, Calculus of Variations and Optimal Control; Optimization, Simulation and Modeling, Atmospheric Sciences, Oceanography