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CN109325540B 一种针对遥感每天降水量数据的空间降尺度方法 有权

一种针对遥感每天降水量数据的空间降尺度方法
摘要：
一种针对遥感每天降水量数据的空间降尺度方法，该方法包括如下步骤：首先，利用一个时空降尺度方案来间接实现对遥感每天降水量数据进行降尺度，获得遥感每天降水量初步降尺度结果；其次，采用一种集合融合方法，以月为基础，融合该月内所有遥感每天降水量初步降尺度结果和每天站点观测，获得遥感每天降水量融合结果；接着，对遥感每天降水量融合结果进行累积，生成遥感每月或年降水量融合结果。本发明能克服已有技术的局限，综合考虑降水和辅助环境因子间的空间非平稳关系以及每天降水的时间变化，同时充分顾及遥感每天降水量初步降尺度结果的整个误差场，能够大幅度提高遥感每天降水的空间分辨率以及精度，此外，显著提升其在检测降水以及非降水区域的能力。
摘要（英）：

A spatial downscaling method for remotely sensed daily precipitation data comprises the following steps of firstly using a temporal-spatial downscaling scheme to indirectly realize downscaling of theremotely sensed daily precipitation data, and obtaining a preliminary downscaling result of the remotely sensed daily precipitation; secondly using an ensemble fusion method to obtain the result of daily precipitation fusion based on the monthly data, which integrates the results of daily precipitation downscaling of all remote sensing stations and daily observation in the month; then accumulatingthe daily precipitation fusion results to generate monthly or annual precipitation fusion results. The method of the invention can overcome the limitation of the prior art, considers the spatial non-stationary relationship between precipitation and auxiliary environmental factors and the temporal variation of daily precipitation, at the same time, the spatial resolution and precision of daily precipitation can be greatly improved by taking full account of the whole error field of the preliminary downscaled results of daily precipitation. In addition, the capability of detecting precipitationand non-precipitation areas can be significantly improved.

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