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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations
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Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations

机译：利用粗地观测改进CHIRPS的日常卫星降水产品

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摘要

A clear bias exists in the widely used gridded precipitation products (GPPs) that result from factors about topography, climate, and retrieval algorithms. Many existing optimization works have a deficiency in validation and domain sizes, which makes the evaluation and corrections of the Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) product still challenging. In this letter, we propose a bias-correction approach that combines coarser-resolution gauge-based precipitation with a probability distribution function (PDF) to improve the accuracy of CHIRPS. The data from 27 local precipitation gauges in Shanghai are utilized to testify the performance of our method. Results explain that daily corrected CHIRPS (Cor-CHIRPS) product has higher accuracy than CHIRPS compared with ground truths (GrTs) in terms of both error statistics and detection capability, particularly in spring, autumn, and winter. Moreover, Cor-CHIRPS better captures the frequencies of precipitation events and well depicts the spatial characteristics of the annual precipitation.
机译：广泛使用的网格降水产品（GPPs）中存在明显的偏差，这是由有关地形，气候和检索算法的因素造成的。许多现有的优化工作都缺乏验证和域大小，这使得利用站台数据（CHIRPS）产品对气候危害小组的红外降水进行评估和校正仍然具有挑战性。在这封信中，我们提出了一种偏差校正方法，该方法将基于较粗分辨率测量仪的降水与概率分布函数（PDF）相结合，以提高CHIRPS的准确性。来自上海27个当地降水量计的数据被用来证明我们方法的性能。结果说明，在误差统计和检测能力方面，特别是在春季，秋季和冬季，每日校正的CHIRPS（Cor-CHIRPS）产品比地面实况（GrTs）具有更高的准确性。此外，Cor-CHIRPS可以更好地捕获降水事件的频率，并很好地描绘了年降水量的空间特征。

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