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Weather Analysis and Forecasting
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Weather Analysis and Forecasting

Weather Analysis and Forecasting

Applying Satellite Water Vapor Imagery and Potential Vorticity Analysis

Patrick Santurette, Christo G. Georgiev

250 pages, parution le 18/07/2005

Résumé

Satellite images provide a rich source of data for predicting Earth's weather; however, even the most experienced forecasters can misinterpret these images from time to time. The key to improving weather prediction accuracy is learning how to properly distill, manipulate, and interpret relevant numerical models in relation to this visual observation data. Weather Analysis and Forecasting is the first book to help professionals and students bring these tools together in a logical way.

In this practical guide, Santurette and Georgiev show how to interpret water vapor patterns in terms of dynamical processes in the atmosphere and their relation to diagnostics available from weather prediction models. In particular, they concentrate on the close relationship between satellite imagery and the potential vorticity fields in the upper troposphere and lower stratosphere. These applications are illustrated with color images based on real meteorological situations. The book's step-by-step pedagogy makes this an essential training manual for forecasters in meteorological services worldwide, and a valuable text for graduate students in atmospheric physics and satellite meteorology.

Sommaire

  • A dynamical view of synoptic development
  • The interpretation problem of satellite water vapor imagery
  • Significant water vapor imagery features associated with synoptic dynamical structures
  • Use of water vapor imagery for assessing NWP model behavior and improving forecasts
  • App. A Radiative transfer theory and some radiation effects for the WV channels of meteosat, GOES, and MSG
  • App. B Synthetic (pseudo) water vapor images
  • App. C PV modification technique and PV inversion to correct the initial state of the numerical model
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Caractéristiques techniques

  PAPIER
Éditeur(s) Elsevier, Academic Press
Auteur(s) Patrick Santurette, Christo G. Georgiev
Parution 18/07/2005
Nb. de pages 250
Format 21,5 x 27,5
Couverture Broché
Poids 615g
Intérieur Noir et Blanc
EAN13 9780126192629
ISBN13 978-0-12-619262-9

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