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Modified Convective Stratiform Technique (CSTm) Performance on Rainfall Estimation in Indonesia

Journal of Mathematical and Fundamental Sciences · Vol. 46 No. 3 (2014) · hlm. 251–268

DOI
10.5614/j.math.fund.sci.2014.46.3.4
ISSN
2338-5510, 2337-5760
Terbit
2014-12-01
Penerbit
Directorate for Research and Innovation (DRI) ITB
Bahasa
eng

Abstrak

This study has analyzed a rainfall estimation using a modified convective stratiform technique (CSTm). Unlike the original convective stratiform technique (CST), which only utilizes infrared (IR) data, CSTm applies not only IR data but also passive microwave (PMW) data. Two major modifications contained in CSTm are: (1) the application of a variability index (VI) method that uses PMW data to perform convective and stratiform separation,and (2) the ability to determine the average extensive coverage of the new areas of each pixel point as a result of the utilization of the PMW data. In this study, rainfall estimation was conducted for 23 points spread over four major islands in Indonesia. The estimation was performed based only on IR and PMW data obtained from coincident observations. For verification, the estimation results were compared with real observations. The main verification action conducted in this study used multi-category contingency tables for four categories and this action was supported by the root mean square error (RMSE)method.The verification results of the hourly estimation conducted for 4 days in early November 2011 showed that CSTm can effectively improve the performance quality of CST.

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  • University of Indonesia
  • Bandung Institute of Technology
  • Sriwijaya University
  • Meteorological, Climatological, And Geophysical Agency
  • National Research and Innovation Agency
  • Diponegoro University
  • IPB University
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Rekan penulisOrganisasiArtikel bersama
Nining Sari NingsihBandung Institute of Technology4
Dedik BudiantaSriwijaya University2
Kunarso KunarsoDiponegoro University2
YakupAfiliasi tidak diketahui1
WandayantolisSriwijaya University1
Wandayantolis WandayantolisAfiliasi tidak diketahui1
Yakup YakupSriwijaya University1
Kunarso KunarsoAfiliasi tidak diketahui1
S. BaskoroBandung Institute of Technology1
Mulyono Sumitro BaskoroIPB University1
Iqbal Putut Ash ShidiqUniversity of Indonesia1
Faris ZulkarnainUniversity of Indonesia1
Ratih DewantiNational Research and Innovation Agency1
Ahmad ZubairUniversity of Indonesia1
Triarko NurlambangUniversity of Indonesia1
Babag PurbantoroNational Research and Innovation Agency1
Evi AnggraheniUniversity of Indonesia1
Pranita GiardiniUniversity of Indonesia1
Kintan MaulidinaUniversity of Indonesia1
Raisya AfifahUniversity of Indonesia1
Anang MuchlisMinistry of Public Works, Republic of Indonesia1
Andry RustantoUniversity of Indonesia1
Muhammad DimyatiAfiliasi tidak diketahui1
Irma SusantiUniversity of Indonesia1
Kandaga PujianaAfiliasi tidak diketahui1
Muliddin MuliddinUniversitas Halu Oleo1
Hamzah LatiefBandung Institute of Technology1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jmfs/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Modified Convective Stratiform Technique (CSTm) Performance on Rainfall Estimation in Indonesia</dc:title>
	<dc:creator>Endarwin, E.</dc:creator>
	<dc:creator>Hadi, Safwan</dc:creator>
	<dc:creator>HK, Bayong Tjasyono</dc:creator>
	<dc:creator>Gunawan, Dodo</dc:creator>
	<dc:creator>Siswanto, S.</dc:creator>
	<dc:description xml:lang="en-US">This study has analyzed a rainfall estimation using a modified convective stratiform technique (CSTm). Unlike the original convective stratiform technique (CST), which only utilizes infrared (IR) data, CSTm applies not only IR data but also passive microwave (PMW) data. Two major modifications contained in CSTm are: (1) the application of a variability index (VI) method that uses PMW data to perform convective and stratiform separation,and (2) the ability to determine the average extensive coverage of the new areas of each pixel point as a result of the utilization of the PMW data. In this study, rainfall estimation was conducted for 23 points spread over four major islands in Indonesia. The estimation was performed based only on IR and PMW data obtained from coincident observations. For verification, the estimation results were compared with real observations. The main verification action conducted in this study used multi-category contingency tables for four categories and this action was supported by the root mean square error (RMSE)method.The verification results of the hourly estimation conducted for 4 days in early November 2011 showed that CSTm can effectively improve the performance quality of CST.</dc:description>
	<dc:publisher xml:lang="en-US">Directorate for Research and Innovation (DRI) ITB</dc:publisher>
	<dc:date>2014-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jmfs/article/view/421</dc:identifier>
	<dc:identifier>10.5614/j.math.fund.sci.2014.46.3.4</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Mathematical and Fundamental Sciences; Vol. 46 No. 3 (2014); 251-268</dc:source>
	<dc:source>2338-5510</dc:source>
	<dc:source>2337-5760</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jmfs/article/view/421/770</dc:relation>
</oai_dc:dc>