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[环渤海地区多卫星降水产品精度评估。]

[Accuracy evaluation of multi-satellite precipitation products over Circum-Bohai-Sea Region.].

作者信息

Li Rui Ze, Zhang An Ding, Zhang Hua, Jiang De Juan

机构信息

Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China.

College of Resources and Environmental Engineering, Ludong University, Yantai 264025, Shandong, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2016 Sep;27(9):2916-2924. doi: 10.13287/j.1001-9332.201609.035.

DOI:10.13287/j.1001-9332.201609.035
PMID:29732855
Abstract

Precipitation is a key variable of the global energy and water cycle. The accuracy of precipitation data is essential for monitoring and forecasting flood and drought, as well as water resources management. Based on daily precipitation data of 55 meteorological stations over Circum-Bohai-Sea region during 1998-2014, the accuracy was evaluated and compared among 3 satellite-based precipitation products, i.e., TRMM 3B42 V7, CMORPH, and PERSIANN from daily to monthly scale. Their errors were quantified for different seasons. Results showed that generally, TRMM 3B42 V7 had the best performance while PERSIANN had the largest error. However, CMORPH had the highest detection rate of rainfall events. The rainfall was slightly overestimated by 3B42 V7 but underestimated by CMORPH and PERSIANN. Seasonally, the skill score in summer was higher than that in other seasons, and the capturing capability was much lower in winter. Meanwhile, the correlation coefficient and root mean square error varied with seasons. The performance of 3 satellite-based precipitation products increased from the daily to monthly scale. Larger errors still existed in the daily rainfall estimates, and especially the rainstorm was seriously underestimated. This study provided a basis for the use of satellite precipitation products in precipitation estimation and its application in climate and hydrological simulation over Circum-Bohai-Sea region.

摘要

降水是全球能量和水循环的一个关键变量。降水数据的准确性对于监测和预测洪涝与干旱以及水资源管理至关重要。基于1998 - 2014年环渤海地区55个气象站的日降水数据,对3种卫星降水产品(即TRMM 3B42 V7、CMORPH和PERSIANN)从日尺度到月尺度的准确性进行了评估和比较。对不同季节的误差进行了量化。结果表明,总体而言,TRMM 3B42 V7性能最佳,而PERSIANN误差最大。然而,CMORPH的降雨事件检测率最高。3B42 V7对降雨有轻微高估,而CMORPH和PERSIANN则低估了降雨。季节性方面,夏季的技能得分高于其他季节,冬季的捕捉能力则低得多。同时,相关系数和均方根误差随季节变化。3种卫星降水产品从日尺度到月尺度的性能有所提升。日降水量估计中仍存在较大误差,特别是暴雨被严重低估。本研究为环渤海地区利用卫星降水产品进行降水估计及其在气候和水文模拟中的应用提供了依据。

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