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.