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首页> 外文期刊>Journal of hydrometeorology >Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China
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Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China

机译：利用PERSIANN-CDR每日降雨量估算值评估中国极端降水事件的行为

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摘要

This study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), in capturing the behavior of daily extreme precipitation events in China during the period of 1983-2006. Different extreme precipitation indices, in the three categories of percentile, absolute threshold, and maximum indices, are studied and compared with the same indices from the East Asia (EA) ground-based gridded daily precipitation dataset. The results show that PERSIANN-CDR depicts similar precipitation behavior as the ground-based EA product in terms of capturing the spatial and temporal patterns of daily precipitation extremes, particularly in the eastern China monsoon region, where the intensity and frequency of heavy rainfall events are very high. However, the agreement between the datasets in dry regions such as the Tibetan Plateau in the west and the Taklamakan Desert in the northwest is not strong. An important factor that may have influenced the results is that the ground-based stations from which EA gridded data were produced are very sparse. In the station-rich regions in eastern China, the performance of PERSIANN-CDR is significant. PERSIANN-CDR slightly underestimates the values of extreme heavy precipitation.
机译：这项研究评估了一个新开发的每日降水气候数据记录的性能，该数据记录使用人工神经网络-气候数据记录（PERSIANN-CDR）从遥感信息中进行了降水估算，以捕获该期间中国每天的极端降水事件的行为。 1983-2006年。研究了百分位数，绝对阈值和最大指数这三类中的不同极端降水指数，并与来自东亚（EA）地面网格日降水量数据集的相同指数进行了比较。结果表明，PERSIANN-CDR在捕获日降水极端事件的时空格局方面表现出与地面EA产品相似的降水行为，特别是在中国东部季风地区，那里的强降雨事件的强度和频率是很高。但是，干旱地区（如西部的青藏高原和西北的塔克拉玛干沙漠）的数据集之间的一致性不强。可能影响结果的一个重要因素是生成EA栅格数据的地面站非常稀疏。在中国东部的富油站地区，PERSIANN-CDR的性能非常重要。 PERSIANN-CDR稍微低估了极端强降水的值。

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