How to judge the quality and value of weather forecast products

Citation
Je. Thornes et Db. Stephenson, How to judge the quality and value of weather forecast products, METEOROL AP, 8(3), 2001, pp. 307-314
Citations number
17
Categorie Soggetti
Earth Sciences
Journal title
METEOROLOGICAL APPLICATIONS
ISSN journal
13504827 → ACNP
Volume
8
Issue
3
Year of publication
2001
Pages
307 - 314
Database
ISI
SICI code
1350-4827(200109)8:3<307:HTJTQA>2.0.ZU;2-P
Abstract
In order to decide whether or not a weather service supplier is giving good value for money we need to monitor the quality of the forecasts and the us e that is made of the forecasts to estimate their value. A number of verifi cation statistics are examined to measure the quality of forecasts - includ ing Miss Rate, False Alarm Rate, the Peirce Skill Score and the Odds Ratio Skill Score - and a means of testing the significance of these values is pr esented. In order to assess the economic value of the forecasts a value ind ex is suggested that takes into account the cost-loss ratio and forecast er rors. It is suggested that a combination of these quality and value statist ics could be used by weather forecast customers to choose the best forecast provider and to set limits for performance related contracts.