闵行智能网格预报降水订正数据产品

基于机器学习的闵行区智能网格降水预报订正数据是对智能网格降水预报采用新型的机器学习模型进行订正后的每日08时起报未来24小时降水预报数据，订正后的网格降水基本接近实况降水，每天1期，每期约3～70KB，有较高的参考价值，针对闵行区局地降水预报效果有较大改进，提升了闵行区降水预报服务精确度。

The machine learning-based corrected data for intelligent grid-based precipitation forecasts in Minhang District refers to 24-hour precipitation forecast data obtained by correcting the original intelligent grid-based precipitation forecasts using a novel machine learning model. This dataset is initialized daily at 08:00, covering the subsequent 24 hours of precipitation forecasts. The corrected grid precipitation results are generally close to actual observed precipitation. One dataset is released each day, with each file size ranging from approximately 3 KB to 70 KB. This dataset has high reference value, as it significantly improves the local precipitation forecast performance for Minhang District and enhances the accuracy of precipitation forecast services in the district.

搜集汇总

背景与挑战

背景概述

该数据集是基于机器学习模型对闵行区智能网格降水预报进行订正后的数据，每日08时起报未来24小时降水预报，订正后数据接近实况降水，显著提升了闵行区降水预报的精确度。