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Preliminary Evaluation of GPM‐IMERG Rainfall Estimates Over Three Distinct Climate Zones With APHRODITE

机译:初步评估GPM-IMERG降雨估计三种不同气候区具有阿芙罗狄蒂

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Evaluation of Global Precipitation Measurement‐Integrated Multi‐satellitE Retrieval for GPM (GPM‐IMERG) final precipitation product is performed over Japan, Nepal, and Philippines regions against further improved APHRODITE‐2 V1801R1 product. The evolution is carried out for nearly two consecutive years 2014–2015. Various qualitative and quantitative statistical indices such as mean bias, root‐mean‐square error, correlation coefficient, false alarming ratio, and probability of detection are considered to evaluate GPM‐IMERG precipitation estimates with APHRODITE‐2. Intraseasonal variability of two products is shown to explore the seasonal dependency of GPM‐IMERG performance. The performance of GPM‐IMERG research product with respect to rainfall intensity is shown by the cumulative probability distribution of target and reference data sets. Percentile‐based statistics is implemented for evaluating the advantages of GPM‐IMERG over Tropical Rainfall Measuring Mission‐3B42 while detecting the light and heavy rainfall events during wet/dry seasons. The overall performance of GPM‐IMERG seems to be good over Japan followed by Philippines and Nepal regions. This feature is clearly evidenced in terms of mean bias, root‐mean‐square error, and correlation magnitudes over three regions. GPM‐IMERG shows ability to follow the intraseasonal variability as shown by APHRODITE‐2 product with minor differences observed in precipitation maximum values during rainy season. Good agreement is seen between GPM‐IMERG and APHRODITE‐2 at different rainfall intensities except underestimation during heavy rainfall events. GPM‐IMERG seems to be improved in detecting light/heavy rainfall event magnitude than TRM‐3B42. However, the performance of both data sets encountered clear dependency on seasons.
机译:对GPM(GPM-IMERG)最终降水量的全局降水测量的全球降水量的评估是在日本,尼泊尔和菲律宾地区进行的,用于进一步改进的Aphrodite-2 V1801R1产品。进化是在2014 - 2015年连续两个年前进行的。认为诸如平均偏置,根均匀误差,相关系数,误报率和检测概率等各种定性和定量统计指标被认为是用Aphrodite-2评估GPM-IMERG降水估计。显示两种产品的季节性可变性探讨了GPM-IMERG性能的季节性依赖性。通过目标和参考数据集的累积概率分布表示GPM-IMERG研究产品对降雨强度的性能。基于百分位的统计数据,用于评估GPM-IMERG在热带降雨中测量Mission-3B42的优势,同时在湿/干季节检测光线和大雨事件时。 GPM-IMERG的整体表现似乎很好,在日本之后是菲律宾和尼泊尔地区。在三个区域的平均偏差,根均方误差和相关幅度方面清楚地证明了该特征。 GPM-IMERG表明能力遵循术语术语 - 2产品所示,在雨季降水最大值中观察到的缺氧-2产品所示。除了在大雨事件期间低估除了低估之外,GPM-IMERG和Aphrodite-2之间会在不同的降雨强度之间看到良好的一致性。 GPM-IMERG似乎在检测到比TRM-3B42的光/大雨事件幅度提高。但是,两个数据集的性能都遇到了对季节的清晰依赖性。

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