Data Assimilation

Making Sense of Observations

  • William Lahoz
  • Boris Khattatov
  • Richard Menard

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Theory

    1. Front Matter
      Pages 1-1
    2. William Lahoz, Boris Khattatov, Richard Ménard
      Pages 3-12
    3. N. K. Nichols
      Pages 13-39
    4. Olivier Talagrand
      Pages 41-67
    5. Richard Ménard
      Pages 113-135
    6. Olivier Talagrand
      Pages 217-240
    7. Peter Lynch, Xiang-Yu Huang
      Pages 241-260
  3. Observations

    1. Front Matter
      Pages 261-261
    2. Jean-Noël Thépaut, Erik Andersson
      Pages 263-281
    3. Erik Andersson, Jean-Noël Thépaut
      Pages 283-299
    4. William Lahoz
      Pages 301-321
  4. Meteorology and Atmospheric Dynamics

    1. Front Matter
      Pages 323-323
    2. Andrew Charlton-Perez, William Lahoz, Richard Swinbank
      Pages 325-349
    3. Richard Swinbank
      Pages 381-406
  5. Atmospheric Chemistry

    1. Front Matter
      Pages 407-407
    2. Valery Yudin, Boris Khatattov
      Pages 409-430
    3. William Lahoz, Quentin Errera
      Pages 449-490
    4. Hendrik Elbern, Achim Strunk, Lars Nieradzik
      Pages 491-513
  6. Wider Applications

    1. Front Matter
      Pages 515-515
    2. Keith Haines
      Pages 517-547
    3. Paul R. Houser, Gabriëlle J.M. De Lannoy, Jeffrey P. Walker
      Pages 549-597
  7. The Longer View

    1. Front Matter
      Pages 621-621
    2. Richard B. Rood, Michael G. Bosilovich
      Pages 623-646
    3. Michiko Masutani, Thomas W. Schlatter, Ronald M. Errico, Ad Stoffelen, Erik Andersson, William Lahoz et al.
      Pages 647-679
    4. Stephen R. Lewis
      Pages 681-699
  8. Back Matter
    Pages 701-718

About this book


Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in the field. Various aspects of data assimilation are discussed including: theory; observations; models; numerical weather prediction; evaluation of observations and models; assessment of future satellite missions; application to components of the Earth System. References are made to recent developments in data assimilation theory (e.g. Ensemble Kalman filter), and to novel applications of the data assimilation method (e.g. ionosphere, Mars data assimilation).


Atmospheric chemistry Earth System Meteorology Ocean Weather forecasting algorithm algorithms chemistry climate model modeling satellite simulation statistics weather

Editors and affiliations

  • William Lahoz
    • 1
  • Boris Khattatov
    • 2
  • Richard Menard
    • 3
  1. 1.Dept. MeteorologyUniversity of ReadingReadingUnited Kingdom
  2. 2.BoulderUSA
  3. 3.Atmospheric Science & Technology, DirectorateEnvironment CanadaDorvalCanada

Bibliographic information