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: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IOP Publishing
2023
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| Subjects: | |
| 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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| Summary: | 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. |
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