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Forecast Verification: A Practitioner's Guide in Atmospheric ScienceFrom Brand: Wiley
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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 world?s 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
- Sales Rank: #3232346 in Books
- Brand: Brand: Wiley
- Published on: 2003-05-15
- Original language: English
- Number of items: 1
- Dimensions: 9.80" h x .79" w x 6.79" l, 1.10 pounds
- Binding: Hardcover
- 254 pages
- Used Book in Good Condition
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)
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From the Back Cover
For more than 100 years, meteorologists have been making forecasts of weather and climatic events. In order to judge the quality of these forecasts and improve forecasting systems, scientists working in this field have developed and applied many different verification and evaluation techniques and scores. Forecast verification is concerned with judging how good are these systems and forecasts.
This book begins with an introduction to the subject of forecast verification and a review of the basic concepts, discussing different types of data that may be forecast before moving on to the main chapters, where each chapter covers a different type of predicted quantity (predictand). This book then looks at some of the relationships between economic value and skill scores, and finally moves 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.
Key features of this book includes:
- 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 world's 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
This book is suitable for postgraduates and researchers in forecasting studies, climatology, meteorology and those in the atmospheric oceanic and environmental science community. It is also a useful supplementary textbook for undergraduates in environmental science, climatology and meteorology.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Why not $1000?
By Dimitri Shvorob
It *is* an instructive book - for someone with econometrics background, in my case - however, I suspect that practical lessons one can take out of it are largely specific to binary forecasts. And then, of course, there is the insane price - four-five times what it should be.
0 of 0 people found the following review helpful.
Four Stars
By Christian Dom�nguez
Good condition as described!
0 of 1 people found the following review helpful.
Very Good
By Randy Given
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.
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