Weather Analysis and Forecasting: Applying Satellite Water Vapor Imagery and Potential Vorticity Analysis

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Overview

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.

Related Titles
Satellite Meteorology (Kidder & Vonder Haar) ISBN: 0124064302
An Introduction to Dynamic Meteorology, 4th Edition (Holton) ISBN: 0123540151
Atmospheric Science, 2nd Edition (Wallace & Hobbs) ISBN: 012732951X

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Editorial Reviews

From the Publisher
"...includes step-by-step pedagogy, which should be useful to {operational weather forecasters} in training, and numerous full-color illustrations based on real meteorological situations."
--Weatherwise
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Product Details

  • ISBN-13: 9780126192629
  • Publisher: Elsevier Science
  • Publication date: 6/16/2005
  • Edition description: New Edition
  • Pages: 200
  • Product dimensions: 8.50 (w) x 10.90 (h) x 0.50 (d)

Table of Contents

PART I: Fundamentals
1. A dynamical view of synoptic development
2. The interpretation problem of satellite water vapor imagery

PART II: Practical use of water vapor imagery and dynamical fields
3. Significant water vapor imagery features associated with synoptic dynamical structures
4.Use of water vapor imagery for assessing NWP model behavior and improving forecasts

Appendices
A. Radiative transfer theory and some radiation effects for the WV channels of Meteosat, GOES, and MSG
B. Synthetic (pseudo) water vapor images
C. PV modification technique and PV inversion to correct the initial state of the numerical model
D. Glossary of acronyms

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