Evaluation of the Compatibility of TRMM Satellite Data with Precipitation Observation Data

Q3 Decision Sciences
N. Nurhamidah, Rafika Andari, A. Junaidi, D. Daoed
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引用次数: 0

Abstract

The availability of hydrological data is one of the challenges associated with developing water infrastructure in different areas. This led to the TRMM (Tropical Precipitation Measurement Mission) design by NASA, which involves using satellite weather monitoring technology to monitor and analyze tropical precipitation in different parts of the world. Therefore, this validation study was conducted to compare TRMM precipitation data with observed precipitation to determine its application as an alternate source of hydrological data. The Kuranji watershed was selected as the study site due to the availability of suitable data. Moreover, the validation analyses applied include the Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), Coefficient Correlation (R), and Relative Error (RE). These used two calculation forms: one for the uncorrected data and another for the corrected data. The results showed that the best-adjusted data validation from the Gunung Nago station in 2016 was recorded to be RMSE = 62,298, NSE = 0.044, R = 0.902, and RE = 11,328. The closeness of the R-value to one implies that the corrected TRMM data outperforms the uncorrected ones. Therefore, it was generally concluded that the TRMM data matches the observed precipitation data and can be used for hydrological study in the Kuranji watershed
TRMM卫星资料与降水观测资料的兼容性评价
水文数据的可用性是在不同地区发展水利基础设施的挑战之一。这导致了NASA设计的TRMM(热带降水测量任务),该任务涉及使用卫星天气监测技术来监测和分析世界不同地区的热带降水。因此,本验证研究将TRMM降水数据与观测降水进行比较,以确定其作为水文数据替代来源的应用。由于有合适的数据,选择库兰吉流域作为研究地点。此外,应用的验证分析包括均方根误差(RMSE)、纳什-苏特克利夫效率(NSE)、相关系数(R)和相对误差(RE)。它们使用两种计算形式:一种用于未校正数据,另一种用于校正数据。结果表明,2016年Gunung Nago站调整后的最佳数据验证值为RMSE = 62,298, NSE = 0.044, R = 0.902, RE = 11,328。r值接近1意味着校正后的TRMM数据优于未校正的TRMM数据。因此,一般认为TRMM资料与实测降水资料吻合,可用于库兰吉流域的水文研究
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JOIV International Journal on Informatics Visualization
JOIV International Journal on Informatics Visualization Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
100
审稿时长
16 weeks
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