GSMaP数据对Kotawaringin东部极端降雨事件及其引发洪水的评价

N. Ayasha, Leny Octaviana Bota
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引用次数: 0

摘要

2021年5月12日、2021年8月12日、2021年9月6日和2022年6月27日,东Kotawaringin的极端降雨强度分别为58.85 mm/日、101.3 mm/日、124.4 mm/日和176.8 mm/日。这些现象发生在旱季,造成洪水,这在东科塔瓦林金的旱季是罕见的情况。本研究旨在利用GSMaP (Global Satellite Mapping of Precipitation)数据评估极端降雨,此前从未在东Kotawaringin使用GSMaP进行分析。对GSMaP资料进行了处理,并与东Kotawaringin H. Asan气象站的观测资料进行了比较。然后,利用RMSE、相关系数和偏差等统计方法对GSMaP降水结果进行验证。验证结果表明,该偏差低估了所有日期的结果。2021年5月12日、2021年8月12日、2021年9月6日和2022年6月27日的RMSE值分别为10.83、17.32、12.41和34.03。这些高RMSE值表明GSMaP雨量值与观测雨量值相差很大。GSMaP降水与观测值的相关值较高,各日期的相关值分别为0.84、0.90、0.96和0.98。结果表明,GSMaP资料具有较好的相关值,可用于东Kotawaringin H. Asan气象站的极端降水分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of GSMaP Data for Extreme Rain Events and Causing Floods in East Kotawaringin
On 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022, extreme rain occured with an intensity of 58.85 mm/day, 101.3 mm/day, 124.4 mm/day and 176.8 mm/day respectively in East Kotawaringin. These phenomena occurred during the dry season and caused flooding, which is a rare condition during the dry season in East Kotawaringin. This study aims to evaluate extreme rainfall using GSMaP (Global Satellite Mapping of Precipitation) data, where analysis using GSMaP has never been done before in East Kotawaringin. These GSMaP data were processed and compared with the observation data from the Meteorological Station of H. Asan, East Kotawaringin. After that, the GSMaP rainfall results are verified using statistical methods, namely RMSE, correlation coefficient and bias. The verification results show that the bias gives underestimate results for all dates. In addition, the RMSE values on 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022 are 10.83, 17.32, 12.41 and 34.03, respectively. These high RMSE values indicate that the GSMaP rainfall value is quite far from the observed rainfall value. The correlation value between GSMaP rainfall and observations has a high correlation with values of 0.84, 0.90, 0.96 and 0.98 for each date. These results show that the GSMaP data has a good correlation value and can be used for extreme rainfall analysis at the Meteorological Station of H. Asan, East Kotawaringin.
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