Abstract:The precipitation is periodic and unpredictable.In order to solve this problem,this paper puts forward a weighted Markov model.The monthly precipitation is predicted.The historical data are classified,and four-step state transition probability matrix is established.The forecast results conform well to the actual data.
张祥, 陈军, 陆雨, 潘栋, 李俊. 降水量的加权型马尔科夫模型预测[J]. 气象水文海洋仪器, 2018, 35(2): 18-20.
Zhang Xiang, Chen Jun, Lu Yu, Pan Dong, Li Jun. Prediction for the precipitation using a weighted Markov model. Meteorological Hydrological and Marine Instrument, 2018, 35(2): 18-20.