Comprehensive evaluation of mainstream gridded precipitation datasets in the cold season across the Tibetan Plateau
Comprehensive evaluation of mainstream gridded precipitation datasets in the cold season across the Tibetan Plateau
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DOI：
10.1016/j.ejrh.2022.101186
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Le-le Zhang;Liming Gao;Ji Chen;Lin Zhao;Jing-yi Zhao;Y. Qiao;Jianzong Shi
中科院分区：
文献类型：
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作者：
Le-le Zhang;Liming Gao;Ji Chen;Lin Zhao;Jing-yi Zhao;Y. Qiao;Jianzong Shi
研究区域青藏高原（TP）。研究重点本研究评估了六个主流网格化降水产品的准确性，包括通过校准全球定位系统时代IMERG（AIMERG）的亚洲降水数据集、气候灾害组与台站联合的红色降水（CHIRPS）、中国气象强迫数据集（CMFD）、ECMWF再分析版本5（ERA 5-陆地），全球降水测量综合多卫星反演和使用人工神经网络-云分类系统-气候数据记录的遥感信息降水估算（PERSIANN-CCS-CDR）的降水资料。新的水文信息表明，青藏高原东部和东南部降水偏多，柴达木盆地降水偏少。但在观测网稀疏的西部地区，这6种产品所揭示的空间格局有所不同。CMFD对冷季降水事件的探测精度最高，其次是AIMERG和IMERG，CHIRPS的精度最差。相对于年度和月度尺度的观测，CMFD、IMERG和AIMERG的表现优于CHIRPS、ERA 5-Land和PERSIANN-CCS-CDR，ERA 5-Land和PERSIANN-CCS-CDR高估了，而AIMERG、CHIRPS、CMFD和IMERG低估了冷季降水。CMFD在月尺度上以总降水量为基准时精度最高，而IMERG在月尺度上仅以Geonor降水量为基准时精度最高。
Study regionThe Tibetan Plateau (TP).Study focusThis study evaluated the accuracy of six mainstream gridded precipitation products, including the Asian precipitation dataset by calibrating the GPM-era IMERG (AIMERG), Climate Hazards group InfraRed Precipitation with Stations (CHIRPS), China Meteorological Forcing Dataset (CMFD), ECMWF Re-Analysis version 5 (ERA5-Land), Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR), in the cold season across the TP.New hydrological insights for the regionThe observations and these six precipitation products all revealed high precipitation occurs in the eastern and southeastern TP, and low precipitation occurs in the Qaidam Basin. But in the western regions with sparse gauge networks, the spatial patterns revealed by these six products were different. The precipitation occurrences in the cold season detected by CMFD had the highest accuracy, followed by AIMERG and IMERG, while CHIRPS had the worst accuracy. CMFD, IMERG and AIMERG outperformed CHIRPS, ERA5-Land and PERSIANN-CCS-CDR against observations at the annual and monthly scale, ERA5-Land and PERSIANN-CCS-CDR overestimated while AIMERG, CHIRPS, CMFD and IMERG underestimated cold season precipitation. CMFD had the highest accuracy when using the total adjusted observations as a reference at monthly scale, while IMERG had the highest accuracy when only using the adjusted precipitation by Geonor gauge as a reference.