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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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Main Authors: Aziding, Khairunnisa, Badron, Khairayu, Basri, Atikah Balqis, Ismail, Ahmad Fadzil, Ahmad, Yasser Asrul
Format: Proceeding Paper
Language:English
English
Published: IOP Publishing 2023
Subjects:
T Technology (General)
Online Access: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
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spelling 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle 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
description 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
score 13.211869

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