Overview
Introduces new theories and methodologies in data assimilation
Contains the most recent studies in data assimilation
Presents front-edge applications of data assimilation technique to various disciplines in Geosciences
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Table of contents (26 chapters)
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Front Matter
Keywords
About this book
Editors and Affiliations
About the editors
Seon Ki Park is Professor of Environmental Science and Engineering and Founding Director of the Severe Storm Research Center and the Center for Climate/Environment Change Prediction Research at the Ewha Womans University in Seoul, Korea. He obtained a Ph.D. in Meteorology from the University of Oklahoma and M.S. and B.S. in Meteorology from the Seoul National University, Korea. He had worked as a research scientist at the University of Oklahoma, University of Maryland and NASA/Goddard Space Flight Center. His research focuses on storm- and meso-scale meteorology, hydrometeorology, and parameter estimation and data assimilation to improve numerical weather/climate prediction.
Liang Xu is the Head of Atmospheric Dynamics & Prediction Branch and a Meteorologist at the Marine Meteorology Division, Naval Research Laboratory in Monterey, California, USA. He leads a fully integrated research program encompassing all aspects of numerical weather prediction and data assimilation, focusing on critical issues related to the analysis and prediction of atmospheric processes and phenomena within the Navy's Earth System Prediction Capability. He and his team have developed, tested, and transitioned to the Fleet Numerical Meteorology and Oceanographic Center (FNMOC), an operational global atmospheric 4DVar data assimilation system.
Bibliographic Information
Book Title: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
Editors: Seon Ki Park, Liang Xu
DOI: https://doi.org/10.1007/978-3-030-77722-7
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-77721-0Published: 10 November 2021
Softcover ISBN: 978-3-030-77724-1Published: 11 November 2022
eBook ISBN: 978-3-030-77722-7Published: 09 November 2021
Edition Number: 1
Number of Pages: XXI, 705
Number of Illustrations: 15 b/w illustrations, 224 illustrations in colour
Topics: Monitoring/Environmental Analysis, Optimization, Computer Applications, Oceanography