A general framework for forecast verification
A general framework for forecast verification based on the joint distribution of forecasts and observations is described: 1) the calibration-refinement factorization, which involves the conditional distributions of observations given forecasts and the marginal distribution of forecasts, and 2) the likelihood-base rate factorization, which involves the conditional distributions of forecasts given observations and the marginal distribution of observations. The names given to the factorizations reflect the fact that they relate to different attributes of the forecasts and/or observations. Some insight into the potential utility of the framework is provided by demonstrating that basic elements and summary measures of the joint, conditional, and marginal distributions play key roles in current verification methods. -from Authors
Duke Scholars
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- Meteorology & Atmospheric Sciences
- 3701 Atmospheric sciences
- 0401 Atmospheric Sciences
- 0102 Applied Mathematics
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Meteorology & Atmospheric Sciences
- 3701 Atmospheric sciences
- 0401 Atmospheric Sciences
- 0102 Applied Mathematics