VALIDATION OF TROPICAL RAINFALL MEASURING MISSION (TRMM) RAINFALL DATA FOR THE KAPUAS HULU DISTRICT AREA

Charles Gonzaga Tangkadas, S. Soeryamassoeka, Azwa Nirmala
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引用次数: 2

Abstract

Rainfall is a critical element in the hydrological cycle. Therefore, accurate rainfall inputs are essential for reliable hydrological predictions in various water resource analyses. Many areas in the tropics depend on rainfall for multiple needs because rainfall has an essential influence on numerous aspects of human life, especially in water resources planning and management. However, not all areas have rainfall recording stations using manual rain and gauges or automatic rainfall recorders, so rainfall records are rarely complete; this is also the case in Kapuas Hulu District, West Kalimantan Province.This research article presents the results of TRMM satellite rainfall data research in Kapuas Hulu District, with validated rainfall data, 1-day maximum rainfall data, and rainfall amount data. Validation stages are carried out by calibrating, verifying, and correcting rainfall data. As a comparison station (dependent variable) is the BMKG Pangsuma observation station, KPH-06 Nanga Kantuk, KPH-08 Ng. Silat, KPH-09 Jongkong, KPH-13 Tepuai in 1998-2019.The results of the analysis show that the best correlation value on the amount of rainfall data and 1-day maximum rainfall data obtained from Grid 30 TRMM of 0.83 and 0.82 with the observation station is BMKG Pangsuma Station, and then the equation obtained from the analysis results on the grid is used as an equation for correction. The data correction equation for the amount of rainfall is Y = 1.1578 X - 98.5547, and the 1-day maximum rainfall data correction equation is Y = 1.2036 X - 28.4197.
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热带降雨测量任务(trmm)在卡普阿斯hulu地区降雨数据的验证
降雨是水文循环中的一个关键因素。因此,在各种水资源分析中,准确的降雨输入对于可靠的水文预测至关重要。热带地区的许多地区依靠降雨满足多种需要,因为降雨对人类生活的许多方面,特别是在水资源规划和管理方面具有重要影响。然而,并非所有地区都有使用人工雨量计或自动雨量记录仪的雨量记录站,因此雨量记录很少完整;西加里曼丹省的Kapuas Hulu区也是如此。本文介绍了在Kapuas Hulu地区TRMM卫星降雨数据的研究结果,包括验证的降雨数据、1日最大降雨量数据和降雨量数据。验证阶段是通过校准、验证和校正降雨数据来进行的。作为比较站(因变量)的是BMKG Pangsuma观测站,KPH-06 Nanga Kantuk, KPH-08 Ng。1998-2019年的Silat, KPH-09 Jongkong, KPH-13 Tepuai。分析结果表明,30格网TRMM值分别为0.83和0.82的降水资料量和1日最大降水资料与观测站BMKG Pangsuma站的相关性最好,然后将格网分析结果得到的方程作为修正方程。降雨量数据修正方程为Y = 1.1578 X - 98.5547, 1天最大降雨量数据修正方程为Y = 1.2036 X - 28.4197。
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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