EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA

This research aims to 1) evaluate precipitation data from satellite estimates and develop a daily rain gauge and satellite merging precipitation data, 2) identify the spatial distribution of extreme precipitations based on merged rain gauge-satellite precipitation data, and 3) identify the spatial d...

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Main Authors: , Andung Bayu Sekaranom, , Prof. Dr. rer. nat. Muh Aris Marfai, M.Sc.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
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author , Andung Bayu Sekaranom
, Prof. Dr. rer. nat. Muh Aris Marfai, M.Sc.
author_facet , Andung Bayu Sekaranom
, Prof. Dr. rer. nat. Muh Aris Marfai, M.Sc.
author_sort , Andung Bayu Sekaranom
collection UGM
description This research aims to 1) evaluate precipitation data from satellite estimates and develop a daily rain gauge and satellite merging precipitation data, 2) identify the spatial distribution of extreme precipitations based on merged rain gauge-satellite precipitation data, and 3) identify the spatial distribution of flood susceptibility in Central Java based on extreme precipitation distribution and land surface characteristics. Daily precipitation data from 1998-2010 were obtained from rain gauge stations from BMKG, while satellite estimates were obtained from TRMM 3B42. The data were merged using based on data assimilation technique using successive corrections method. Extreme precipitation identification taken by precipitation threshold, return period rainfall, and probable maximum precipitation (PMP). The merging technique produces improved precipitation data from the study area, especially in replacing missing daily data and area with low station density. The results indicate that extreme precipitation occurs mainly in the low lands and coastal areas. Moreover, extreme precipitation is in line with highly susceptible area, especially in Tegal, Pekalongan, Kendal, Semarang, Demak, Purworejo, Kebumen, Kutoarjo, Gombong, and Cilacap.
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institution Universiti Gadjah Mada
last_indexed 2024-03-13T23:17:23Z
publishDate 2013
publisher [Yogyakarta] : Universitas Gadjah Mada
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spelling oai:generic.eprints.org:1275102016-03-04T08:26:30Z https://repository.ugm.ac.id/127510/ EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA , Andung Bayu Sekaranom , Prof. Dr. rer. nat. Muh Aris Marfai, M.Sc. ETD This research aims to 1) evaluate precipitation data from satellite estimates and develop a daily rain gauge and satellite merging precipitation data, 2) identify the spatial distribution of extreme precipitations based on merged rain gauge-satellite precipitation data, and 3) identify the spatial distribution of flood susceptibility in Central Java based on extreme precipitation distribution and land surface characteristics. Daily precipitation data from 1998-2010 were obtained from rain gauge stations from BMKG, while satellite estimates were obtained from TRMM 3B42. The data were merged using based on data assimilation technique using successive corrections method. Extreme precipitation identification taken by precipitation threshold, return period rainfall, and probable maximum precipitation (PMP). The merging technique produces improved precipitation data from the study area, especially in replacing missing daily data and area with low station density. The results indicate that extreme precipitation occurs mainly in the low lands and coastal areas. Moreover, extreme precipitation is in line with highly susceptible area, especially in Tegal, Pekalongan, Kendal, Semarang, Demak, Purworejo, Kebumen, Kutoarjo, Gombong, and Cilacap. [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , Andung Bayu Sekaranom and , Prof. Dr. rer. nat. Muh Aris Marfai, M.Sc. (2013) EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67768
spellingShingle ETD
, Andung Bayu Sekaranom
, Prof. Dr. rer. nat. Muh Aris Marfai, M.Sc.
EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA
title EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA
title_full EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA
title_fullStr EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA
title_full_unstemmed EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA
title_short EXTREME PRECIPITATION ANALYZED FROM MERGED RAIN GAUGE AND SATELLITE PRECIPITATION DATA IN CENTRAL JAVA-INDONESIA
title_sort extreme precipitation analyzed from merged rain gauge and satellite precipitation data in central java indonesia
topic ETD
work_keys_str_mv AT andungbayusekaranom extremeprecipitationanalyzedfrommergedraingaugeandsatelliteprecipitationdataincentraljavaindonesia
AT profdrrernatmuharismarfaimsc extremeprecipitationanalyzedfrommergedraingaugeandsatelliteprecipitationdataincentraljavaindonesia