D. Krisnayanti, D. F. Welkis, Fery Moun Hepy, Djoko Legono
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引用次数: 7

摘要

在中南帝汶摄政奥埃尼诺区奥埃尼诺村和波伦区孔巴基村建设Temef大坝需要长期可靠的降雨数据。为了克服过去几十年来数据最少或无法获得自动降雨(ARR)和流量数据的问题,预计将使用热带降雨测量任务(TRMM)卫星数据。当TRMM的适用性和兼容性参数与ARR一致时,TRMM数据的准确性就得到了保证。Temef流域共有6个站点,分别是Fatumnasi、Oeoh、Noelnoni、Polen、Nifukani和Batinifukoko站点。对20年(1998-2018)降雨数据进行了逐月和逐日时间分辨率的直接比较。研究结果表明,TRMM数据产品(版本3B42V7)中的降雨模式与Temef流域Noelnoni、Fatumnasi和Batinifukoko 3个雨量站的降水模式趋于一致。按月校正TRMM数据的相关系数为0.505 ~ 0.813,按日校正因子水平为0.0056 ~ 0.0129。对年最大日雨量资料进行校正,校正系数为0.0298 - 0.2516。月、日TRMM数据与3个雨量站数据吻合较好。然而,Noelnoni雨量站对年最大日降雨量的预测结果较差。关键词:TRMM数据,ARR数据,校正因子,相关系数
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Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan
The construction of the Temef Dam in Oenino Village, Oenino District, and Konbaki Village, Polen District, South Central Timor Regency requires long and reliable rainfall data. To overcome the minimum data or the unavailability of automatic rainfall (ARR) and discharge data in the past decades, the use of Tropical Rainfall Measuring Mission (TRMM) satellite data is foreseen. The accuracy of TRMM data is obtained when the parameters of suitability and compatibility of TRMM are in a good agreement with the ARR. For the Temef watershed, there are six rainfall stations that were reviewed, namely Fatumnasi, Oeoh, Noelnoni, Polen, Nifukani, and Batinifukoko rainfall stations. Direct comparisons of rainfall data were conducted for 20 years (1998-2018) with temporal resolution on a monthly and daily basis. The results of the study show that the rainfall patterns in the TRMM data product (version 3B42V7) tend to be consistent with 3 rainfall stations in the Temef watershed namely Noelnoni, Fatumnasi, and Batinifukoko. A correlation coefficient of 0.505 – 0.813 was obtained from TRMM data calibration at monthly basis while a correction factor level of 0.0056 - 0.0129 was obtained for daily.  The calibration on the annual maximum daily rainfall data resulted in a correction factor of 0.0298 - 0.2516. Monthly and daily TRMM data fit well with the data of 3 rainfall stations. However, the Noelnoni rainfall station showed poor results on the annual maximum daily rainfall.Keywords: TRMM data, ARR data, correction factor, correlation coefficient
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