JURNAL SUMBER DAYA AIR
Vol 16, No 1 (2020)

Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan

Denik Sri Krisnayanti (Civil Engineering Department Science and Engineering Faculty Nusa Cendana University)
Davianto Frangky B. Welkis (Magister Student of Water Resources Engineering Department Brawijaya University)
Fery Moun Hepy (Pascasarjana Universitas Brawijaya Jl. MT Haryono 169, Malang Indonesia 65145)
Djoko Legono (Jl. Grafika No.2, Yogyakarta, Indonesia)



Article Info

Publish Date
31 May 2020

Abstract

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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Journal Info

Abbrev

JSDA

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Engineering

Description

Jurnal Sumber Daya Air (JSDA) is a journal aims to be a peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on Water, and Water resources as well as related topics. All papers are peer-reviewed by at least ...