巴厘和努沙登加拉岛卫星降雨产品(GPM-IMERG)的验证:正常季节、厄尔尼诺和拉尼娜事件的比较

Putu Eka Tulistiawan, I Wayan Gede Astawa Karang, Takahiro Osawa
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引用次数: 0

摘要

巴厘岛和努沙登加拉是季风变化以及海洋和大气之间奇怪的相互作用影响降雨的地区。本研究的目的是在考虑季节变化和厄尔尼诺-南方涛动(ENSO)现象的情况下,利用印度尼西亚巴厘岛和努沙登加拉岛的现场观测资料,评估综合多卫星检索的GPM (IMERG)降雨数据。该研究将2012年1月至2021年12月十年间天气站的降雨数据与雨量计测量数据相结合,以获得更准确的验证结果。该研究的发现表明,除了过渡季节外,IMERG数据提供了对月降雨量积累的大量估计,无论是小雨还是暴雨,其误差值都很低。研究还表明,岛屿的复杂性和地形会影响各省的验证值。验证结果表明,在平坦地形和中等海拔地区精度较高,而在高海拔地区精度较低。这些发现意义重大,因为IMERG数据可以估计缺乏监测站的地区在特定季节和ENSO活跃条件下的降雨量。因此,这些信息可以作为一个宝贵的工具,解决难以进入地区无法获得数据的问题,并有助于优化水资源管理和减轻与天气有关的灾害。关键词:验证,降雨,IMERG, ENSO
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of Satellite Rainfall Product (GPM-IMERG) an Bali and Nusa Tenggara: A Comparison of Normal Seasons, El Nino and La Nina Events
Bali and Nusa Tenggara are regions where monsoonal wind changes and strange interactions between the ocean and atmosphere influence rainfall. The purpose of this research is to evaluate Integrated Multi-Satellite Retrievals for GPM (IMERG) rainfall data using in-situ observations from Bali and Nusa Tenggara, Indonesia, while considering seasonal variations and the El Nino-Southern Oscillation (ENSO) phenomenon. The study combines rainfall data from synoptic stations with rain gauge measurements over ten years, from January 2012 to December 2021, to obtain more accurate verification results. The study's findings indicate that, apart from the transitional seasons, IMERG data provides substantial estimates of monthly rainfall accumulation with low error values for both light and heavy rainfall. The study also reveals that the islands' complexity and topography can impact each province's validation values. The verification results show excellent accuracy in flat terrain areas and moderate elevations, while performance decreases in regions with high altitudes. These findings are significant because IMERG data can estimate rainfall for regions lacking monitoring stations during specific seasons and active ENSO conditions. Thus, this information can serve as a valuable tool to address the issue of data unavailability in hard-to-access areas and contribute to optimizing water resource management and weather-related disaster mitigation. Keywords: Validation, Rainfall, IMERG, ENSO
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