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Earth System Modeling, Data Assimilation and Predictability, 2 Revised edition
◆JpGU2025 セール開催中！：2025年6月30日(月)ご注文分まで
※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Atmosphere, Oceans, Land and Human Systems Author: Kalnay, Eugenia (University of Maryland, College Park) / Mote, Safa (University of Maryland, College Park) / Da, Cheng (University of Maryland, College Park) Publisher: Cambridge University Press ISBN: 9781107401464 Cover: PAPERBACK Date: 2024年10月 DESCRIPTION Since the publication of the first edition of this highly regarded textbook, the value of data assimilation has become widely recognized across the Earth sciences and beyond. Data assimilation methods are now being applied to many areas of prediction and forecasting, including extreme weather events, wildfires, infectious disease epidemics, and economic modeling. This second edition provides a broad introduction to applications across the Earth systems and coupled Earth-human systems, with an expanded range of topics covering the latest developments of variational, ensemble, and hybrid data assimilation methods. New toy models and intermediate-complexity atmospheric general circulation models provide hands-on engagement with key concepts in numerical weather prediction, data assimilation, and predictability. The inclusion of computational projects, exercises, lecture notes, teaching slides, and sample exams makes this textbook an indispensable and practical resource for advanced undergraduate and graduate students, researchers, and practitioners who work in weather forecasting and climate prediction. * Unifies the inherently connected subjects of Earth System modelling, data assimilation, and predictability in a unique way * Includes sections on the intermediate global primitive equations model SPEEDY as an introduction to the dynamical core and physical parameterizations of a full spectral Earth System Model * Discusses the development of coupled Earth-Human System modelling and how to use data assimilation to estimate parameters, constrain uncertainties, and improve predictions with these models * Provides a suite of supplementary online resources to help facilitate teaching and learning * The author team is led by world-leading authority on atmospheric data assimilation, Eugenia Kalnay TABLE OF CONTENTS Dedication Preface to the Second Edition Reviews and Comments on the First Edition Foreword to the first edition Acknowledgement in the First Edition List of Variables List of Abbreviations 1. An overview of numerical weather prediction 2. The continuous equations 3. Numerical discretization of the equations of motion 4. Introduction to the parameterization of subgrid-scale physical processes 5. Data assimilation 6. Atmospheric predictability and ensemble forecasting A. Coding and checking the tangent linear and the adjoint models B. Post-processing of numerical model output to obtain station weather fore-casts.
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