Putri Jarwanti, Dieta (2021) VALIDASI DATA CURAH HUJAN SATELIT TRMM (TROPICAL RAINFALL MEASURING MISSION) DENGAN DATA POS PENAKAR HUJAN DI DAS GRINDULU, KABUPATEN PACITAN, JAWA TIMUR. Sarjana thesis, Universitas Brawijaya.
Abstract
Pos penakar hujan di Indonesia lokasinya masih kurang tersebar merata, padahal data hujan yang dihasilkan sangat penting. Maka diperlukan analisis validasi dengan data satelit TRMM karena dapat mencakup wilayah luas, tersedia secara near real-time dan aksesnya yang cepat. Penelitian ini bertujuan untuk memvalidasi data satelit dengan data observasi di DAS Grindulu yang datanya dianggap lengkap dan dapat diandalkan. Nantinya digunakan untuk mengantisipasi data curah hujan observasi yang mungkin error atau tidak tersedia. Metode validasi yang digunakan berupa Root Mean Squared Error (RMSE), Uji Kesalahan Relatif (KR), Nash Sutcliffe Efficiency (NSE) serta Koefisien Korelasi (R). Penelitian ini menggunakan dua tahap perhitungan, yaitu analisis validasi data tidak terkoreksi dan data terkoreksi, dimana data terkoreksi dilakukan kalibrasi data terlebih dahulu, hasil dari validasi data TRMM terkoreksi terbaik terdapat pada periode bulanan dengan rentang kalibrasi 9 tahun dan validasi 1 tahun dengan hasil NSE = 0,929; R = 0,969; RMSE = 46,48; KR = 8,9%. Hasil tersebut menunjukkan bahwa data TRMM terkoreksi menghasilkan nilai yang lebih baik dibandingan data TRMM tidak terkoreksi karena memiliki nilai NSE dan R yang mendekati satu dan nilai RMSE dan Kesalahan Relatifnya rendah. Secara kesluruhan, dapat disimpulkan bahwa data TRMM dapat digunakan sebagai data alternatif hidrologi di DAS Grindulu.
English Abstract
TRMM (Tropical Rainfall Measuring Mission) is a meteorological satellite owned by NASA that can record rainfall data using technology in the form of weather monitoring sensors. The data produced by the TRMM satellite is in the form of rainfall data covering the entire region on the earth's surface with a spatial resolution of 0.25 x 0.25 and temporal resolution every 3 hours. As well as TRMM rainfall data can be downloaded for free. The data produced by the TRMM satellite is very helpful for areas that have not been reached by ground stations. The purpose of this study is to analyze the validation of TRMM rainfall data with available rainfall data of ground stations so that TRMM rainfall data is expected to be used as an alternative hydrological data. In this study, Grindulu Watershed was used, located in Pacitan Regency, East Java as a study site. There are 3 ground stations at the study site, namely Kebonagung, Nawangan Grindulu, and Pacitan. Before entering the validation analysis stage, it is necessary to conduct data quality tests in the form of consistency tests and stationary tests (F-test and ttest). Rainfall data from ground stations is transformed into regional rainfall data first using the Thiessen Polygon method. There are two types of validation analysis conducted, namely validation test with uncorrected TRMM data and corrected TRMM data validation test. Uncorrected TRMM data is directly validated by Root Mean Squared Error (RMSE), NashSutcliffe Efficiency (NSE), Relative Error (KR), and Correlation Coefficient (R) with a period of 10 days periods, 15 daily period, and monthly period with data length of 10 years (2010-2019), 3 years (2017-2019), 2 years (2018-2019), and 1 year (2019). Meanwhile, the TRMM data validation test corrected was first calibrated using a scatterplot that to decide equations to correct TRMM data based on the largest Correlation Coefficient (R) value to determine the type of equation selected. The calibration stage also used periods of 10 days period, 15 daily period, and monthly period with a data range of 7:3, which means that in the data range 7:3 calibration is carried out 7 years and validation 3 years. Then it's the same with 8:2 and 9:1 year data ranges. The result of validation about rainfall data of the ground stations with uncorrected TRMM data showed an enough good result, where only one NSE value was produced with a result of "Unsatisfactory” it is in the 10-year range of the 10 days, then the NSE value was between 0.36 – 0.75 with the category "Satisfactory", then the RMSE value ranged between 40 – 113 with the lowest value in the 10-daily period validation period of 1 year, the relative error value between 0.2 – 0.4 and the correlation coefficient value ranges from 0.6 – 0.95 with the category "Very Strong", found only in the range of 10 years validation in the 10-day period where the result is "Strong". Meanwhile, after TRMM data correction resulted in a much better value, where the value of NSE increased to a range between 0.49 – 0.93, then RMSE value decreased to around 35 - 78, the relative error also decreased to between 0.08 – 0.3 and correlation coefficient increased which means to state a stronger relationship between TRMM data and ground stations data that have ranged between 0.8 – 0.97. Based on the validation results, TRMM rainfall data can be statistically used as an alternative hydrological data with records needing to be corrected to TRMM data first. Keywords: precipitation, TRMM, ground stations, calibration, validation.
Other obstract
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| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | 627.52 |
| Uncontrolled Keywords: | Kata Kunci: curah hujan, kalibrasi, pos stasiun hujan, TRMM, validasi--precipitation, TRMM, ground stations, calibration, validation. |
| Subjects: | 600 Technology (Applied sciences) > 627 Hydraulic engineering > 627.5 Reclamations, Irrigation, related topics > 627.52 Irrigation |
| Depositing User: | Unnamed user with email gaby |
| Date Deposited: | 20 Oct 2021 05:00 |
| Last Modified: | 24 Feb 2022 05:26 |
| URI: | http://repository.ub.ac.id/id/eprint/184291 |
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