A TECHNIQUE FOR VERIFICATION OF WEATHER FORECAST AND CLIMATE SIMULATION WITH FUZZY SETS

In the light of the idea of fuzzy neartude, a fuzzy procedure of verifying weather forecast and climate simula-tion is demonstrated. Several verification indices used in weather forecast, such as hit ratio, Heidke score, Brier score, correlation coefficient and information entropy score, are unified under fuzzy neartude and a new verifica-tion index is proposed on the basis of Hamming distance neartude. Further, D2-statistics used in climate sim-ulation verification is derived from a weighted Euclidean distance neartude. The “January climate” generated by general circulation model (GCM) is also numerically verified.