Forecast Verification: A Practitioner's Guide in Atmospheric Science

Features

• Cover Type: Hard Cover with 254 pages
• Published by: Wiley May 23, 2003
• Written in: English
• ISBN 10 Number: 0471497592
• ISBN 13 Number: 978-0471497592
• Book Dimensions: 9.3 x 6.1 x 0.8 inches
• Weighs: 1 pounds

Product Review
"This book will provide a good reference, and I recommend it especially for developers and evaluators of statistical forecast systems." (Bulletin of the American Meteorological Society; April 2004)

"…a good mixture of theory and practical applications…well organized and clearly written" (Royal Statistical Society, Vol.168, No.1, January 2005)

 

Product Description
This handy reference introduces the subject of forecast verification and provides a review of the basic concepts, discussing different types of data that may be forecast.

Each chapter covers a different type of predicted quantity (predictand), then looks at some of the relationships between economic value and skill scores, before moving on to review the key concepts and summarise aspects of forecast verification that receive the most attention in other disciplines.

The book concludes with a discussion on the most important topics in the field that are the subject of current research or that would benefit from future research.

• An easy to read guide of current techniques with real life case studies

• An up-to-date and practical introduction to the different techniques and an examination of their strengths and weaknesses

• Practical advice given by some of the worlds leading forecasting experts

• Case studies and illustrations of actual verification and its interpretation

• Comprehensive glossary and consistent statistical and mathematical definition of commonly used terms

Reader Reviews
As a budding weather hobbyist, I found this book to be good -- if you are interested in accuracy of forecasts and want to apply your mathematical and statistical aptitude to it. Otherwise, it could be a dry book. The book is more for the application of verification than it is for analyzing past experience of weather verification. For example, I know many weather forecasters that I cannot trust their 24-hour forecast, let alone the 10-day ones they project. I highly doubt that they have applied any of these verification techniques to their forecasts. That kind of historical perspective is not in this book, but if you want to improve your own forecasts, this book will get you started in a sound direction.