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Evaluation of high-resolution satellite rainfall products using rain gauge data over complex terrain in southwest China

机译:利用西南地区复杂地形的雨量计数据评估高分辨率卫星降雨产品

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摘要

Availability of high-resolution satellite rainfall products provides a great opportunity to monitor precipitation frequently over large and remote areas. However, the accuracies of these products need thorough assessment before they can be widely used. The objective of this study is to evaluate the accuracies of Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis 3B42 products (TMPA V6 and TMPA V7) using a network of 75 rain gauges over Southwestern China. The study region has a complex terrain, which makes it challenging for TMPA rainfall products to give reliable estimates. The results show that the TMPA products tend to underestimate the occurrences of rainfall events. Furthermore, TMPA V6 always underestimates the precipitation, while V7 generally overestimates rainfall in wet season and underestimates it in dry season. Under- and overestimation of rainfall by the two products can be mainly attributed to false alarm events. The overall accuracies of the two products depend heavily on the time scale. At the daily scale, these products may not be reliable; however, the overall accuracies are improved substantially when the time scale is extended from daily to monthly and seasonal scales. Reliability of the TMPA precipitation estimates is also dependent on the climate zones and elevation to some extent and shows clear seasonal variations. In the wet months from May to September, the estimates for TMPA 3B42 V6 and V7 tend to be more accurate. In comparison, the accuracy of V7 is improved slightly over V6. However, V7 still has some major limitations in reproducing precipitation in dry seasons and in high-elevation regions with complex terrains, suggesting that further improvements in TMPA precipitation retrieval algorithms are still needed for this type of regions.
机译:高分辨率卫星降雨产品的提供提供了一个很大的机会,可以在大范围和偏远地区频繁监测降水。但是,这些产品的准确性需要得到广泛的评估,然后才能被广泛使用。这项研究的目的是使用中国西南地区的75个雨量计网络评估热带降雨测量任务多卫星降水分析3B42产品(TMPA V6和TMPA V7)的准确性。该研究区域地势复杂,这使得TMPA降雨产品难以提供可靠的估计值。结果表明,TMPA产品往往低估了降雨事件的发生。此外,TMPA V6总是低估降水,而V7通常在雨季高估而在旱季低估。两种产品对降雨的低估和高估主要归因于虚假警报事件。两种产品的总体精度在很大程度上取决于时间范围。在日常规模上,这些产品可能并不可靠;但是,当时间范围从每日范围扩展到每月和季节范围时,总体精度会大大提高。 TMPA降水估计的可靠性在某种程度上还取决于气候区和海拔,并显示出明显的季节变化。在5月至9月的潮湿月份中,TMPA 3B42 V6和V7的估算值往往更准确。相比之下,V7的精度略高于V6。但是,V7在干旱季节和地形复杂的高海拔地区的降水再生产方面仍然存在一些主要限制,这表明对于此类地区,仍需要对TMPA降水反演算法进行进一步的改进。

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  • 来源
    《Theoretical and applied climatology》 |2015年第2期|203-219|共17页
  • 作者单位

    Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, People's Republic of China,Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;

    Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, People's Republic of China,Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;

    Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78712, USA;

    Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, People's Republic of China,Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;

    Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, People's Republic of China,Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;

    Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, People's Republic of China,Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;

    College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China;

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