Advanced Weather Verification Scoring Algorithms

We have developed various advanced scoring algorithms based on statistical methods to be incorporated into the Mine-Weather platform. This is the first among the three papers that we consider to start a discussion on the advanced methods, by setting up a conceptual framework that focuses all our thinking on weather forecast verification. Alongside, we will be aiming for a more refined and precise statistical algorithms that will help us decide on which method is more suitable for including in future releases of Mine-Weather. We hope the advanced scoring algorithms will allow decision makers judge the confidence in the weather forecasts they are currently using and to evaluate possible new forecasts they are considering to add.

We have developed various advanced scoring algorithms based on statistical methods to be incorporated into the Mine-Weather platform. This is the first among the three papers that we consider to start a discussion on the advanced methods, by setting up a conceptual framework that focuses all our thinking on weather forecast verification. Alongside, we will be aiming for a more refined and precise statistical algorithms that will help us decide on which method is more suitable for including in future releases of Mine-Weather. We hope the advanced scoring algorithms will allow decision makers judge the confidence in the weather forecasts they are currently using and to evaluate possible new forecasts they are considering to add.

  • Understand the types of forecasts and different methods of verification
  • Examine what characteristics make up for a good forecast verification
  • Find out what “truth” is underlying when validating forecasts
  • Know the key attributes that are challenging to weather forecast verification

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