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- W2369147715 abstract "Based on the model identification and analogue forecasting, a new approach for probability weather forecasting is proposed, which is called K-nearest neighbor nonparametric estimation bootstrap model (named KNN-M for short). This model includes a historical database, a procedure of searching for the nearest neighbor subset and its optimization algorithm and the technique of predict and estimation. The case experiments are made on the forecasting of precipitation and cloud amount by using KNN-M. The individual sample test results show that the forecast estimation is stable and the accuracy is high. KNN-M has good prospects in operational weather forecast." @default.
- W2369147715 created "2016-06-24" @default.
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- W2369147715 date "2005-01-01" @default.
- W2369147715 modified "2023-09-28" @default.
- W2369147715 title "K-Nearest Neighbor Nonparametric Estimation Bootstrap Model for Weather Probability Forecasting" @default.
- W2369147715 hasPublicationYear "2005" @default.
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