Utilization of GPM Satellite and PERSIANN Satellite Data for Estimated Monthly Rainfall in South Sumatera


  • Sakura Yulia Iryani Department of Civil Engineering, Faculty of Engineering, Sriwijaya University
  • Febrinasti Alia Department of Civil Engineering, Faculty of Engineering, Sriwijaya University
  • Muhammad Abiyyi Tauhid Department of Civil Engineering, Faculty of Engineering, Sriwijaya University
  • Ahmad Muhtarom Department of Civil Engineering, Faculty of Engineering, Sriwijaya University
  • Arie Putra Usman Department of Civil Engineering, Faculty of Engineering, Sriwijaya University




Estimate, GPM Satellite, Monthly Rainfall, PERSIANN Satellite


Rainfall data are widely used to predict regional rainfall. Limited rainfall data is a problem that has an impact on decreasing accuracy, one of which is in the area of South Sumatra. This can be overcome by using satellites. However, to utilize satellitebased rainfall data, it is necessary to carry out an analysis to determine the accuracy of rainfall data. This research aims to evaluate rainfall data from the GPM satellite and PERSIANN satellite with validation and calibration analysis so that the value of rainfall data from the Satellite is close to the measurement result and can be used to estimate monthly rainfall. In this study, the data used were measured monthly rainfall in the field, GPM, and PERSIANN obtained from 9 South Sumatra districts for 2019 until 2021. The research method was validated using correlation coefficient, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Calibration is done using a combination method, a solver algorithm in Microsoft Excel, and manually. The estimated monthly rainfall analysis is carried out using the isohyet method with the IDW interpolation method. The research results were obtained based on the validation and calibration of monthly rainfall data showing that data from the GPM showing it is closer to the results of field rainfall measurements than the data obtained from PERSIANN satellite. Based on the results of research on satellite data that has been calibrated, it can be used to estimate monthly rainfall in the South Sumatra Region


M. T. Mahmoud, S. A. Mohammed, M. A. Hamouda, and M. M. Mohamed, "Impact of

topography and rainfall intensity on the accuracy of imerg precipitation estimates in an

arid region," Remote Sens (Basel), vol. 13, no. 1, 2021, doi: 10.3390/rs13010013.

V. Popovych and I. Dunaieva, "Assessment of the GPM IMERG and CHIRPS

precipitation estimations for the steppe part of the Crimea," Meteorology Hydrology and

Water Management, vol. 9, no. 1, 2021, doi: 10.26491/mhwm/133088.

B. Triatmodjo, Hidrologi Terapan. Yogyakarta: Beta Offset, 2014.

T. Davie, Fundamentals of Hydrology. Routledge, 2019.

J. M. Ginting, J. Sujono, and D. R. Jayadi, “Analisis Hubungan Data Hujan Satelit dengan

Hujan Terukur ARR Kalibawang,†Pros. Konf. Pascasarj. Tek. Sipil, November, 2019.

S. Y. Iryani, M. B. al Amin, and A. Muhtarom, "Simulation of Rainfall Data by the GPM

Satellite (Case Study at Sriwijaya University, Indralaya)," in IOP Conference Series:

Earth and Environmental Science, 2021, vol. 832, no. 1. doi: 10.1088/1755-


Q. Sun, C. Miao, Q. Duan, H. Ashouri, S. Sorooshian, and K. L. Hsu, "A Review of

Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons,"

Reviews of Geophysics, vol. 56, no. 1, 2018, doi: 10.1002/2017RG000574.

D. Watters and A. Battaglia, "The NASA-JAXA Global Precipitation Measurement

mission – part I: New frontiers in precipitation," Weather, vol. 76, no. 2, 2021, doi:


G. Skofronick-Jackson et al., "The Global Precipitation Measurement (GPM) mission's

scientific achievements and societal contributions: reviewing four years of advanced rain

and snow observations," Quarterly Journal of the Royal Meteorological Society, vol. 144,

no. suppl1, 2018, doi: 10.1002/qj.3313.

P. Nguyen et al., "The PERSIANN family of global satellite precipitation data: A review

and evaluation of products," Hydrol Earth Syst Sci, vol. 22, no. 11, 2018, doi:


B. S. Wiwoho, I. S. Astuti, I. A. G. Alfarizi, and H. R. Sucahyo, "Validation of three daily

satellite rainfall products in a humid tropic watershed, brantas, indonesia: Implications to

land characteristics and hydrological modelling," Hydrology, vol. 8, no. 4, 2021, doi:


A. Kurniawan, E. Makmur, and S. Supari, “Menentukan Metode Interpolasi Spasial

Curah Hujan Bulanan Terbaik di Jawa Timur,†Seminar Nasional Geomatika, 2021, doi:


R. A. Fadhli, B. Sujatmoko, and S. Sutikno, “Perbandingan Penggunaan Data Hujan

Lapangan Dan Data Hujan Satelit Untuk Analisis Hujan-Aliran Menggunakan Model

IHACRES,†Proceedings ACES (Annual Civil Engineering Seminar), Oktober. 2016.

P. Nguyen et al., "The CHRS data portal, an easily accessible public repository for

PERSIANN global satellite precipitation data," Sci Data, vol. 6, no. 180296, 2019, doi:


Z. Liu et al., "Global Precipitation Measurement (GPM) Mission Products and Services

at the NASA Goddard Earth Sciences (GES) Data and Information Services Center

(DISC)," Bull Am Meteorol Soc, vol. 98, no. 3, pp. 437-444, 2016, doi: 10.1175/BAMSD-16-0023.1.

F. Fatkhuroyan, T. Wati, A. Sukmana, and R. Kurniawan, "Validation of Satellite Daily

Rainfall Estimates Over Indonesia," Forum Geografi, vol. 32, no. 2, 2018, doi:


M. A. Azka, P. A. Sugianto, A. K. Silitonga, and I. R. Nugraheni, “Uji Akurasi Produk

Estimasi Curah Hujan Satelit GPM Imerg Di Surabaya, Indonesia,†Jurnal Sains &

Teknologi Modifikasi Cuaca, vol. 19, no. 2, 2018, doi: 10.29122/jstmc.v19i2.3153.

E. de Coning, "Optimizing satellite-based precipitation estimation for nowcasting of

rainfall and flash flood events over the South African domain," Remote Sens (Basel), vol.

, no. 11, 2013, doi: 10.3390/rs5115702.

Indarto, “Hidrologi Dasar Teori Dan Contoh Aplikasi Model Hidrologi,†Jakarta:

Gramedia Pustaka Utama, 2010.

F. J. Casas et al., "L2-calsat: A calibration satellite for ultra-sensitive cmb polarization

space missions," Sensors, vol. 21, no. 10, 2021, doi: 10.3390/s21103361.

C. Merker, G. Peters, M. Clemens, K. Lengfeld, and F. Ament, "A novel approach for

absolute radar calibration: Formulation and theoretical validation," Atmos Meas Tech,

vol. 8, no. 6, 2015, doi: 10.5194/amt-8-2521-2015.

L. F. Capitán-Vallvey, E. Arroyo-Guerrero, M. D. Fernández-Ramos, and L. CuadrosRodríguez, "Logit linearization of analytical response curves in optical disposable sensors

based on coextraction for monovalent anions," Anal Chim Acta, vol. 561, no. 1–2, 2006,

doi: 10.1016/j.aca.2005.12.065.

V. te Chow, "Handbook of applied hydrology," International Association of Scientific

Hydrology. Bulletin, vol. 10, no. 1, 1965, doi: 10.1080/02626666509493376.

W. Zhong, R. Li, Y. Q. Liu, and J. Xu, "Effect of Different Areal Precipitation Estimation

Methods on the Accuracy of a Reservoir Runoff Inflow Forecast Model," in IOP

Conference Series: Earth and Environmental Science, 2018, vol. 208, no. 1. doi:


H. Kurniadi, E. Aprilia, J. B. Utomo, A. Kurniawan, and A. Safril, “Perbandingan Metode

IDW dan Spline dalam Interpolasi Data Curah Hujan (Studi Kasus Curah Hujan Bulanan

Di Jawa Timur Periode 2012-2016),†Prosiding Seminar Nasiional GEOTIK, 2018.

PlumX Metrics



How to Cite

Iryani, S. Y., Alia, F., Tauhid, M. A., Muhtarom, A., & Usman, A. P. (2022). Utilization of GPM Satellite and PERSIANN Satellite Data for Estimated Monthly Rainfall in South Sumatera. UKaRsT, 6(2), 174–189. https://doi.org/10.30737/ukarst.v6i2.3482