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Zakaria, Ahmad and Sumiharni, Sumiharni (2022) Correlation of the Rainfall Series Data From Indonesia Meteorological, Climatological, and Geophysical Agency and the Tropical Rainfall Measuring Mission in Banten Province. Journal of Engineering and Scientific Research (JESR), 4 (1). pp. 1-7. ISSN pISSN 2685-0338 eISSN 2685-1695

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Official URL: http://eng.unila.ac.id/

Abstract

Daily and monthly rainfall data series are necessary data for planning purposes in Civil Engineering and other fields. Incomplete rainfall data often occurs, so that rainfall data must be estimated based on rainfall data from several other nearby locations. The addition of rainfall data can lead to inaccurate planning. Rainfall data used for planning in the civil engineering sector is usually taken from the Indonesia Meteorological, Climatological, and Geophysical Agency (BMKG) station. This data is taken from the rainfall station above the ground. Beside that, the data also produce rainfall data from the Tropical Rainfall Measuring Mission (TRMM) in Banten province. The rainfall data from TRMM at all locations according to a coordinate of location and denotes an average rainfall taken from the satellite approximately 250 meters above the ground surface. An equation will be obtained by comparing the daily and monthly rainfall data from the two different data sources. Based on TRMM rainfall, we can use the equation to estimate BMKG rainfall in any location. In this study, daily rainfall, monthly rainfall, the spectrum of daily and monthly rainfall data from BMKG are compared with rainfall and the spectrum of daily and monthly rainfall from TRMM. The analysis results show that the monthly rainfall from TRMM can be used to estimate BMKG monthly rainfall better than daily rainfall.

Item Type: Article
Uncontrolled Keywords: climatology, daily and monthly rainfall, spectrum, BMKG, TRMM
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik (FT) > Prodi Teknik Sipil
Depositing User: Dr. Ahmad Zakaria
Date Deposited: 10 Apr 2023 09:19
Last Modified: 10 Apr 2023 09:19
URI: http://repository.lppm.unila.ac.id/id/eprint/50094

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