Enhanced technique for prediction of Z-R relationship in tropical region
Abstract. Over the years, research has been directed to investigate radar as potential tools for estimating rain. The radar reflectivity is measured by comparing the location of the rain gauge and the associated vertical path at certain altitude. The latitude and longitude of the rain gauge is id...
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my.iium.irep.1066952024-01-29T11:04:47Z http://irep.iium.edu.my/106695/ Enhanced technique for prediction of Z-R relationship in tropical region Aziding, Khairunnisa Badron, Khairayu Basri, Atikah Balqis Ismail, Ahmad Fadzil Ahmad, Yasser Asrul T Technology (General) Abstract. Over the years, research has been directed to investigate radar as potential tools for estimating rain. The radar reflectivity is measured by comparing the location of the rain gauge and the associated vertical path at certain altitude. The latitude and longitude of the rain gauge is identified to pinpoint the exact associated location by using Rainbow® 5 meteorological software. In this work, radar reflectivity was estimated by using S-band Terminal Doppler Weather Radar (TWDR) data at Malaysian KLIA radar station. The rain gauge is owned by Malaysian Department of Irrigation and Drainage (DID) at several locations within the vicinity of the radar. A technique to estimate the Z-R relationship by using radar reflectivity information and rainfall rate from rain gauge values is demonstrated in this article. Comparisons between radar reflectivity and actual rain gauge measurement is presented. Preliminary findings using available Z-R relation shows similar values with the actual measurement and suitable to be used in tropical climate country such as Malaysia. IOP Publishing 2023-08-29 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/106695/7/106695_Enhanced%20technique%20for%20prediction%20of%20Z-R.pdf application/pdf en http://irep.iium.edu.my/106695/13/106695_%20Enhanced%20Technique%20for%20Prediction%20of%20Z-R%20Relationship%20in%20Tropical%20Region_SCOPUS.pdf Aziding, Khairunnisa and Badron, Khairayu and Basri, Atikah Balqis and Ismail, Ahmad Fadzil and Ahmad, Yasser Asrul (2023) Enhanced technique for prediction of Z-R relationship in tropical region. In: 2023 12th International Conference on Information and Electronics Engineering (ICIEE 2023), 18/02/2023 - 20/02/2023, Jeju, South Korea. https://iopscience.iop.org/issue/1742-6596/2559/1 10.1088/1742-6596/2559/1/012009 |
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T Technology (General) Aziding, Khairunnisa Badron, Khairayu Basri, Atikah Balqis Ismail, Ahmad Fadzil Ahmad, Yasser Asrul Enhanced technique for prediction of Z-R relationship in tropical region |
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Abstract. Over the years, research has been directed to investigate radar as potential tools for
estimating rain. The radar reflectivity is measured by comparing the location of the rain gauge
and the associated vertical path at certain altitude. The latitude and longitude of the rain gauge
is identified to pinpoint the exact associated location by using Rainbow® 5 meteorological
software. In this work, radar reflectivity was estimated by using S-band Terminal Doppler
Weather Radar (TWDR) data at Malaysian KLIA radar station. The rain gauge is owned by
Malaysian Department of Irrigation and Drainage (DID) at several locations within the vicinity
of the radar. A technique to estimate the Z-R relationship by using radar reflectivity information
and rainfall rate from rain gauge values is demonstrated in this article. Comparisons between
radar reflectivity and actual rain gauge measurement is presented. Preliminary findings using
available Z-R relation shows similar values with the actual measurement and suitable to be used
in tropical climate country such as Malaysia. |
format |
Proceeding Paper |
author |
Aziding, Khairunnisa Badron, Khairayu Basri, Atikah Balqis Ismail, Ahmad Fadzil Ahmad, Yasser Asrul |
author_facet |
Aziding, Khairunnisa Badron, Khairayu Basri, Atikah Balqis Ismail, Ahmad Fadzil Ahmad, Yasser Asrul |
author_sort |
Aziding, Khairunnisa |
title |
Enhanced technique for prediction of Z-R relationship in
tropical region |
title_short |
Enhanced technique for prediction of Z-R relationship in
tropical region |
title_full |
Enhanced technique for prediction of Z-R relationship in
tropical region |
title_fullStr |
Enhanced technique for prediction of Z-R relationship in
tropical region |
title_full_unstemmed |
Enhanced technique for prediction of Z-R relationship in
tropical region |
title_sort |
enhanced technique for prediction of z-r relationship in
tropical region |
publisher |
IOP Publishing |
publishDate |
2023 |
url |
http://irep.iium.edu.my/106695/7/106695_Enhanced%20technique%20for%20prediction%20of%20Z-R.pdf http://irep.iium.edu.my/106695/13/106695_%20Enhanced%20Technique%20for%20Prediction%20of%20Z-R%20Relationship%20in%20Tropical%20Region_SCOPUS.pdf http://irep.iium.edu.my/106695/ https://iopscience.iop.org/issue/1742-6596/2559/1 |
_version_ |
1789940146399870976 |
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13.18916 |