Dynamic Meteorology: Data Assimilation Methods

  • Lennart Bengtsson
  • Michael Ghil
  • Erland Källén

Part of the Applied Mathematical Sciences book series (AMS, volume 36)

Table of contents

  1. Front Matter
    Pages i-3
  2. Nils Gustafsson
    Pages 17-76
  3. M. Ghil, S. Cohn, J. Tavantzis, K. Bube, E. Isaacson
    Pages 139-224
  4. Olivier Talagrand
    Pages 225-262
  5. Back Matter
    Pages 319-330

About this book

Introduction

One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos­ phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess­ ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila­ tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field.

Keywords

Meteorologie Meteorology Orbit Weather satellite satellites

Editors and affiliations

  • Lennart Bengtsson
    • 1
  • Michael Ghil
    • 2
  • Erland Källén
    • 1
  1. 1.European Centre for Medium Range Weather ForecastsReading, BerkshireEngland
  2. 2.Courant InstituteNew York UniversityNew YorkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-5970-1
  • Copyright Information Springer-Verlag New York 1981
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-90632-4
  • Online ISBN 978-1-4612-5970-1
  • Series Print ISSN 0066-5452
  • About this book