© 2010

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

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

About the editors

William Lahoz’s main interests are data assimilation and Earth Observation. He has numerous publications in leading scientific journals and book chapters. He has organized international symposia, conferences and Summer Schools, and been an invited speaker. William is an ACP editor. He contributed to the 1998 WMO Ozone Assessment. He has been on several international scientific committees. William currently leads NILU land data assimilation activities. He co-funded the UK-DARC, of which he was Deputy Director, and led the prestigious European project on Envisat data assimilation, ASSET.

Boris Khattatov’ primary area of expertise involves applications of optimal control, estimation, and inverse problem theory to problems in the numerical modelling of the Earth’s atmosphere and satellite data analysis. Boris led a US Air Force sponsored effort on advancing modelling capabilities for nowcasting and forecasting ionospheric "weather". He has numerous publications in leading scientific journals, and has contributed to books and patents.

Richard Ménard has been involved in data assimilation for nearly 20 years. Thereafter, he joined the NASA Global Modeling and Assimilation Office and then joined Environment Canada in 2000. He was awarded his Ph.D. on Kalman filtering of Burgers’ equation (Roger Daley, advisor). He has made several contributions in the field of Kalman filtering, chemical data assimilation, covariance modelling, validation of assimilation systems, and chemical-dynamical coupling.



Bibliographic information

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From the reviews:

“Data Assimilation … is a collection of 25 review and research articles in a 700-page volume. … discuss a very broad range of topics, including all aspects of atmospheric data assimilation science as well as applications beyond the Earth’s atmosphere. … There are several audiences that would find Data Assimilation particularly useful. … The volume would also be quite helpful as an introduction to geophysical applications of assimilation for students or researchers with training in the technical aspects of state estimation … .” (Jeffrey Anderson, Bulletin of the American Meteorological Society, May, 2012)