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

  • Book
  • © 2013

Overview

Editors:
  1. Seon Ki Park

    1. , Environmental Science and Engineering, Ewha Womans University, Seoul, Korea, Republic of (South Korea)

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    You can also search for this editor in PubMed   Google Scholar

  2. Liang Xu

    1. Naval Research Laboratory, Monterey, USA

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    You can also search for this editor in PubMed   Google Scholar

  • New theories and methodologies in data assimilation

  • The most recent studies in data assimilation

  • Front-edge applications of data assimilation technique to various disciplines in Geosciences

  • Includes supplementary material: sn.pub/extras

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. A Survey of Observers for Nonlinear Dynamical Systems

    • Wei Kang, Arthur J. Krener, Mingqing Xiao, Liang Xu
    Pages 1-25

  3. Nudging Methods: A Critical Overview

    • S. Lakshmivarahan, John M. Lewis
    Pages 27-57

  4. Markov Chain Monte Carlo Methods: Theory and Applications

    • Derek J. Posselt
    Pages 59-87

  5. Observation Influence Diagnostic of a Data Assimilation System

    • Carla Cardinali
    Pages 89-110

  6. A Question of Adequacy of Observations in Variational Data Assimilation

    • John M. Lewis, S. Lakshmivarahan
    Pages 111-124

  7. Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model

    • Clark Amerault, Keith Sashegyi, Patricia Pauley, James Doyle
    Pages 125-145

  8. Skewness of the Prior Through Position Errors and Its Impact on Data Assimilation

    • Daniel Hodyss, Alex Reinecke
    Pages 147-175

  9. Background Error Correlation Modeling with Diffusion Operators

    • Max Yaremchuk, Matthew Carrier, Scott Smith, Gregg Jacobs
    Pages 177-203

  10. The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters

    • Dacian N. Daescu, Rolf H. Langland
    Pages 205-232

  11. Treating Nonlinearities in Data-Space Variational Assimilation

    • Brian S. Powell
    Pages 233-250

  12. Linearized Physics for Data Assimilation at ECMWF

    • Marta Janisková, Philippe Lopez
    Pages 251-286

  13. Recent Applications in Representer-Based Variational Data Assimilation

    • Boon S. Chua, Edward D. Zaron, Liang Xu, Nancy L. Baker, Tom Rosmond
    Pages 287-301

  14. Variational Data Assimilation for the Global Ocean

    • James A. Cummings, Ole Martin Smedstad
    Pages 303-343

  15. A 4D-Var Analysis System for the California Current: A Prototype for an Operational Regional Ocean Data Assimilation System

    • Andrew M. Moore, Christopher A. Edwards, Jerome Fiechter, Patrick Drake, Emilie Neveu, Hernan G. Arango et al.
    Pages 345-366

  16. A Weak Constraint 4D-Var Assimilation System for the Navy Coastal Ocean Model Using the Representer Method

    • Hans Ngodock, Matthew Carrier
    Pages 367-390

  17. Ocean Ensemble Forecasting and Adaptive Sampling

    • Xiaodong Hong, Craig Bishop
    Pages 391-409

  18. Climate Change and Its Impacts on Streamflow: WRF and SCE-Optimized SWAT Models

    • Shie-Yui Liong, Srivatsan V. Raghavan, Minh Tue Vu
    Pages 411-428

  19. Entropic Balance Theory and Radar Observation for Prospective Tornado Data Assimilation

    • Yoshi K. Sasaki, Matthew R. Kumjian, Bradley M. Isom
    Pages 429-464

  20. All-Sky Satellite Radiance Data Assimilation: Methodology and Challenges

    • Milija Zupanski
    Pages 465-488
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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 (South Korea)

    Seon Ki Park

  • Naval Research Laboratory, Monterey, USA

    Liang Xu

Bibliographic Information

  • Book Title: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

  • Editors: Seon Ki Park, Liang Xu

  • DOI: https://doi.org/10.1007/978-3-642-35088-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Hardcover ISBN: 978-3-642-35087-0Published: 03 June 2013

  • Softcover ISBN: 978-3-662-51023-0Published: 23 August 2016

  • eBook ISBN: 978-3-642-35088-7Published: 22 May 2013

  • Edition Number: 1

  • Number of Pages: XIX, 730

  • Number of Illustrations: 99 b/w illustrations, 170 illustrations in colour

  • Topics: Atmospheric Sciences, Artificial Intelligence, K-Theory

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