Several versions of Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation of Extreme Events (APHRODITE-2) have been released for analyzing rain-gauge-based daily precipitation. APHRODITE-2 constitutes an improvement compared with the previous versions for evaluating extreme precipitation. One advantage of APHRODITE-2 products (versions 1801R1 and 1901) over APHRODITE-1 products is the ability to ensure uniformity in the daily accumulation period (end of the day, EOD) used in a specific domain. To create these EOD segregated or EOD adjusted products, we applied an EOD judgment scheme using multi-satellite merged precipitation products CMORPH V1.0 and ERA-Interim reanalysis. The novelty of the current methodology was tested against rain-gauge datasets with known EOD information. Despite the difference in horizontal resolution, ERA-Interim shows similar EOD detection performance to CMORPH. However, CMORPH showed better performance over India than ERA-Interim. The current method has potential to judge EOD of rain-gauge station data with an unknown observation time. Having prior EOD information as metadata is very important for gridded datasets as well as station data. Here, we also present deterministic/estimated EOD that we used for V1801R1 over Monsoon Asia.

中文翻译：

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每日雨量计数据的日终（EOD）判断

已经发布了几种版本的《亚洲降水-高度解析观测数据集成，以评估极端事件》（APHRODITE-2），用于分析基于雨量计的日降水量。与以前的版本相比，APHRODITE-2具有更好的评估极端降水的能力。与APHRODITE-1产品相比，APHRODITE-2产品（版本1801R1和1901）的一个优势是能够确保在特定域中使用的每日累积时段（一天结束，EOD）的一致性。为了创建这些EOD隔离产品或EOD调整产品，我们应用了EOD判断方案，该方案使用多卫星合并降水产品CMORPH V1.0和ERA-Interim重新分析。针对具有已知EOD信息的雨量计数据集，测试了当前方法的新颖性。尽管水平分辨率有所不同，但ERA-Interim的EOD检测性能却与CMORPH相似。但是，CMORPH在印度的表现要好于ERA-Interim。当前的方法有可能判断未知观测时间的雨量站数据的EOD。对于网格数据集和站点数据而言，使用先前的EOD信息作为元数据非常重要。在这里，我们还介绍了在季风亚洲中用于V1801R1的确定性/估算EOD。