nanda alfuadi, Agie Wandala


Indonesian society needs information on potential hydrometeorological disasters, therefore the development of rainfall estimation methods becomes an important research activities to support disaster risk reduction. Central Kalimantan were selected as research location for comparative test of rainfall estimation methods based on Himawari-8 IR1 (11μm) data, because it has area with cloud cover fairly intensive throughout the year. Some rainfall estimation methods tested in this research are AE, CST, CSTM, IMSRA. Non Linear Relation, and Non Linear Inversion. Each of these methods tends to have a weakness in the value of accuracy, so this research aims to determine the most accurate method to be applied in Palangkaraya (27 meters above sea level) city and Muratewe (60 meters above sea level) district in Central Kalimantan. The experiment was conducted during the period of highest rainfall in January and February 2016 by converting the temperature data cloud tops (IR1) into a precipitation with AE, CST, CSTM, IMSRA, Non Linear Relation and Non Linear Inversion method. Based on the results of quantitative analysis, it was known that IMSRA was the best method which can be applied in rainfall estimation in Muarateweh’s and Palangka Raya’s winter period. The Accuracy of all estimation methods decreased when it was applied in Palangka Raya at afternoon and in Muarateweh at night until early morning. The estimation method with the lowest score was the AE with an average MSE value > 90 and the best estimation method was IMSRA with MSE value <12.


estimation; rainfall; satellite; Palangka Raya; Muarateweh

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Endarwin E., Hadi S., Tjasyono B., Gunawan D., Siswanto S., (2014), Modified Convective Stratiform Method (CSTm) Performance on Rainfall Estimation in Indonesia, J. Math. Fund. Sci. 46(3): 251-268.

Gairola RM, Varma AK, Prakash S., Mahesh C., Pal PK, (2011), Development of Rainfall Estimation Algorithms for Monitoring Rainfall Events over India Using KALPANA-IR Measurements on Various Temporal and Spatial Scales, ( pub/CPS/out/CGMS%2038%20report/For%20Print[2011-01-10]/CD- ROM%20 Contents/Working%20Papers%20CGMS-38/IMD/IMD-WP-09%20(RMG-CGMS-381).pdf, [Accessed onMArch 30 2016].

Goldenberg SB, Houze RA, Jr., Churchill DD, (1990), Convective and Stratiform Commponents of a Winter Monsoon Cloud Cluster Determined from Geosynchronous Infrared Satellite Data. Journal of the Meteorological Sosiety of Japan 68(1): 37-63.

Islam MN, Islam AKMS, Hayashi T., Terao T., Uyeda H., (2002), Application of A Method to Estimate Rainfall in Bangladesh Using GMS-5 Data. Journal of Natural Disaster Science 24(2): 83-89.

Mishra AK, Gairola RM, Varma AK, Agarwal VK, (2009), Study of Intense Rainfall Events over India Using Kalpana-IR and TRMM Precipitation Radar Observations, Journal of Current Science 97(5): 689-695.

Octari GR, Suhaedi D., Noersomadi, (2015), Model Estimasi Curah Hujan Berdasarkan Suhu Puncak Awan Menggunakan Inversi Nonlinear. Proceeding of Penelitian SPeSIA 2015 Bid. Matematika, 23-29.

Roca R., Viollier M., Picon L., Desbois M., (2002), A Multisatellite Analysis of Deep Convection and It’s Moist Environment Over The Indian Ocean during The Winter Monsoon. Journal of Geophysical Research 107(D19).

Scherer WD, Hudlow MD, (1971), A Method for Assessing Probable Distributions of Tropical Precipitation Echo Lengths for X-Band Radar from Nimbus 3 HRIR Data. BOMEX Bull.10: 63–68.

Scofield RA, (1987), The NESDIS Operational Convective Precipitation Method, Mon. Wea. Rev., 115:1773–1792.

Swarinoto YS, Husain, (2012), Estimasi Curah Hujan Harian dengan Metode Auto Estimator, (Kasus Jayapura dan Sekitarnya). Jurnal Meteorologi dan Geofisika 13(1): 53-61.

Suwarsono, Parwati, Kusumaning ADS, Kartasamita M., (2009), Penentuan Hubungan antara Suhu Kecerahan Data MTSAT dengan Curah Hujan Data QMorph. Journal Penginderaan Jauh 6:32-42.

Upadhyaya S., Ramsankaran RAAJ, (2013), Review of Satellite Remote Sensing Data Based Rainfall Estimation Methods, Proceedings of Hydro 2013 International, 4-6 Dec 2013, IIT Madras, INDIA.

Vicente GA, Scofield RA, Menzel WP, (1998), The Operational GOES Infrared Rainfall Estimation Method. Bulletin of the American Meteorological Society 79(9): 1883-1898.


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