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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)

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  • © 2017

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

This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

Editors and Affiliations

  • Environmental Science and Engineering, Ewha Womans University, Seoul, Korea (Republic of)

    Seon Ki Park

  • Marine Meteorology Division, Naval Research Laboratory, Monterey, USA

    Liang Xu

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.

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