Advances in Weather and Climate Forecast Verification
Will be published approx. on 1. February 2029
Book
Paperback/Softback
308 pages
978-0-12-813853-3 (ISBN)
Description
Advances in Weather and Climate Forecast Verification is a resource for researchers and practitioners who are applying traditional and new methods of forecast evaluation. It offers information that will make it possible for researchers and others to apply the newest forecast methods; rather than searching for information in each individual method, providing the information needed to apply all of the techniques in one place. Selection of the appropriate method to apply to a particular problem is facilitated by comparisons of the methods and their results, which will be included in the book. With these skills in hand, readers can make improvements in both their modelling and the evaluation of the results.
More details
Language
English
Place of publication
United States
Target group
Professional and scholarly
operational forecasters, students and researchers in atmosphere and climate, appropriate for courses covering forecast verification where available, meteorologists
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-0-12-813853-3 (9780128138533)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Dr Eric Gilleland is a project scientist at the National Center for Atmospheric Research (NCAR) in the Research Applications Laboratory (RAL), where he has performed research on statistical methods for forecast verification, especially spatial methods for high-resolution models, as well as applications of extreme value analysis, since 2002. Gilleland has a Ph.D. in statistics from the Colorado State University. Barbara G. Brown is a project scientist at the National Center for Atmospheric Research (NCAR) in the Research Applications Laboratory (RAL), where she has led efforts on development and application of methods for weather and climate forecast evaluation. She also has extensive experience providing tutorials on verification methods. Brown has MS degrees in environmental science (University of Virginia, 1979) and statistics (Oregon State University, 1983).
Content
1. Introduction
2. Statistical Basis for Verification
3. Traditional verification for deterministic forecasts
4. Traditional verification for probabilistic forecasts
5. Diagnostic tools for univariate measures
6. Background, motivation, and overview of spatial forecast verification methods
7. Neighborhood methods
8. Scale separation methods
9. Location measures
10. Field deformation
11. Feature-based: identifying features, merging, matching, properties, and property comparisons
12. Feature-based: direct comparisons between matched features: CRA, MODE
13. Feature-based: spatial contingency table
14. Spatial Prediction Comparison Test, including image warping loss
15. Additional topics: hurricane forecasts, S2S, observation uncertainty
2. Statistical Basis for Verification
3. Traditional verification for deterministic forecasts
4. Traditional verification for probabilistic forecasts
5. Diagnostic tools for univariate measures
6. Background, motivation, and overview of spatial forecast verification methods
7. Neighborhood methods
8. Scale separation methods
9. Location measures
10. Field deformation
11. Feature-based: identifying features, merging, matching, properties, and property comparisons
12. Feature-based: direct comparisons between matched features: CRA, MODE
13. Feature-based: spatial contingency table
14. Spatial Prediction Comparison Test, including image warping loss
15. Additional topics: hurricane forecasts, S2S, observation uncertainty