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

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,

  • PDF / 49,514,716 Bytes
  • 576 Pages / 453.543 x 683.15 pts Page_size
  • 100 Downloads / 207 Views

DOWNLOAD

REPORT


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

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

Seon Ki Park ⋅ Liang Xu Editors

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

123

Editors Seon Ki Park Environmental Science and Engineering Ewha Womans University Seoul Republic of Korea

ISBN 978-3-319-43414-8 DOI 10.1007/978-3-319-43415-5

Liang Xu Marine Meteorology Division Naval Research Laboratory Monterey, CA USA

ISBN 978-3-319-43415-5

(eBook)

Library of Congress Control Number: 2016950903 © Springer International Publishing Switzerland 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

To Yoshi K. Sasaki

Preface

Since the 2007 Annual Meeting in Bangkok, the Asia Oceania Geosciences Society (AOGS) has hosted a series of sessions on data assimilation (DA), named “Yoshi K. Sasaki Symposium on Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications.” We started this symposium after the first DA session in the 2005 AOGS meeting in Singapore to honor Dr. Yoshi Kazu Sasaki, the former George Lynn Cross Professor of the School of Meteorology at University of Oklahoma, for his lifelong contributions to DA. Yoshi was a pioneer in broaching the use of variational method to produce optimal initial conditions for numerical prediction. His approach is further developed and nowadays widely adopted in various prediction systems in geosciences. Unfortunately and sadly we lost this great scientist on March 12, 2015, and we decided to make this volume be a memorial to Dr. Sasaki. Yoshi had contributed superior chapters to the previous two volumes—both frontline works on tornado DA. The first volume of this book was published in March 2009 with 27 ch