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CALIBRATION METHOD AND SYSTEM TO IMPROVE ACCURACY OF SHORT-TERM PRECIPITATION PREDICTION

机译:提高短期降水预报准确性的校准方法和系统

摘要

According to on embodiment of the present invention, a calibration method to improve accuracy of short-term precipitation prediction includes the steps of: extracting past data of an ultrashort-term prediction model, a storm-scale prediction model, and an automatic weather system (AWS) as data having an identical grid and identical resolution; calculating a weight of the data of the ultrashort-term prediction model and the data of the storm-scale prediction model based on similarity between the extracted data of the ultrashort-term prediction model and the extracted data of the AWS and similarity between the extracted data of the storm-scale prediction model and the extracted data of the AWS; calculating a calibration ratio according to a prediction time between the data of the ultrashort-term prediction model and the data of the storm-scale prediction model to perform calibration according to the prediction time; and blending future prediction data of the ultrashort-term prediction model and the storm-scale prediction model with the calculated weight and the calibration ratio according to the prediction time.
机译:根据本发明的实施例,一种用于提高短期降水预测的准确性的校准方法包括以下步骤:提取超短期预测模型,风暴尺度预测模型和自动天气系统的过去数据( AWS)作为具有相同网格和相同分辨率的数据;基于超短时预测模型的提取数据与AWS的提取数据之间的相似度以及所提取的数据之间的相似度,计算超短期预测模型的数据和风暴尺度预测模型的数据的权重暴风雨预报模型和AWS提取的数据;根据超短时预报模型的数据与风暴尺度预报模型的数据之间的预测时间,计算出校正率,并根据预测时间进行校正。根据预测时间将超短期预测模型和暴风雨尺度预测模型的未来预测数据与计算出的权重和标定比进行混合。

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