RAINFALL AND SNOWFALL FORECASTING DEVICE

摘要

PROBLEM TO BE SOLVED: To ensure an accurate forecasting even in the case of generation of new echo pattern and the hard movement thereof by evaluating the accuracy of a forecasting value generated by a neural circuit network and the accuracy of a forecasting value generated by use of moving vector from a radar image, and then determining a final forecasting value. SOLUTION: A neural circuit network model forecasting mechanism 101 sends an obtained forecasting value 301 to an output control mechanism 103. A mutual correlation model forecasting mechanism 102 obtains a moving vector making a mutual correlation value, from two sheets of echo patterns at an arbitral time interval from a meteological radar. A forecasting value obtained from the moving vector and a vector 302 are fed to the output control mechanism 103. The mechanism 103 performs comparison between the forecasting value 301 and vector 302 and an actually measured image, and an elapse of time where the forecasting accuracy of the former is made superior to that of the latter is obtained. The passing time is used as a threshold, and the forecasting value of the forecasting mechanism 102 is adopted as a final forecast image until the time passes from the start of forecasting, and thereafter the forecasting value of the forecasting mechanism 101 is adopted as the final forecast image.