Application Study Of Data Mining On Weather Forecast

In this paper , the data mining techniques have been applied to the weather forecast with a clear aim .The large quantity weather data about hail shooting , duststrom and precipitation have been collected , put in order and analyzed . First not only carefully analyzed the hail event data gathered from the Hail Suppress Offices of Bayan Naoer League , Baotou and Huhhot in recent years , but also preliminarily analyzed the relevant weather patterns .Second comprehensively analyzed the duststrom data since 1980' s,classified them according to the visibility and distribution .Besides these ,the precipitation data after 1995 within April and August in middle-west of Inner Mongolia were analyzed preliminarily and added up in accordance with different quantity degree and distribution . Futhermore set up the different sample databases .On this foundation ,the numerical forecast products have been objective handled according to different require of every data mining technique .For strong convective weather (hail) , it classified all historical sample events into 4 weather patterns (like northwest , trough area ,west wind and southwest current), established 4 characteristic fields of 400hPa height of HLAFS , then according to the principle of the pattern match calculate and compare the real-time HLAFS forecast products-2-using the similar method inside the big and small key areas , establish forecast equation , finally gain conclusion .To duststrom weather, the historical samples were sorted into duststrom and severe duststrom types in 5 regions (they are whole area, west, central, middle-west and middle-east of Inner Mongolia ),moreover set up different sample databases about ECMWF fields (including 500hPa height, 850hPatemperature and sea-level pressure).In order to making duststrom forecast at different time level , we first filtered the real-time data by FAX data ,and then used the method of similar range degree to compare the historical data to the actual data of ECMWF .To precipitation weather ,they were divided into 2 types that suit or unsuit airplane artificial precipitation stimulation in line with their emergence time and district .The appropriate weather physical factors come from T106 were chosen to establish the artificial precipitation stimulation prediction model . In the actual application , we can get prediction result as long as use the real-time forecast data of T213 in the prediction model .These work indicate on the foundation of the data of perfect weather information , be sure that the data mining techniques will have wide prospect in the weather forecast .By all means it will bring into play more function of obvious benefit in the progress of increasing the prediction accurate rate of disaster weather.