Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region

In the tropical region, convective rain is a dominant rain event. However, very little information is known about the convective rain melting layer. In this paper, S-band dual-polarized radar data is studied in order to identify both the stratiform and convective rain melting layers in the tropical...

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Main Authors: Yuan, Feng, Lee, Yee Hui, Meng, Yu Song, Ong, Jin Teong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/88914
http://hdl.handle.net/10220/46981
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-889142020-03-07T13:57:24Z Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region Yuan, Feng Lee, Yee Hui Meng, Yu Song Ong, Jin Teong School of Electrical and Electronic Engineering Temasek Laboratories DRNTU::Engineering::Electrical and electronic engineering Melting Layer Convective Rain In the tropical region, convective rain is a dominant rain event. However, very little information is known about the convective rain melting layer. In this paper, S-band dual-polarized radar data is studied in order to identify both the stratiform and convective rain melting layers in the tropical region, with a focus on the convective events. By studying and analyzing the above-mentioned two types of rain events, amongst three radar measurements of reflectivity ( Z ), differential reflectivity ( ZDR ), and cross correlation coefficient ( ρHV ), the latter one is the best indicator for convective rain melting layer detection. From two years (2014 and 2015) of radar and radiosonde observations, 13 convective rain melting layers are identified with available 0 °C isothermal heights which are derived from radiosonde vertical profiles. By comparing the melting layer top heights with the corresponding 0 °C isothermal heights, it is found that for convective rain events, the threshold to detect melting layer should be modified to ρHV=0.95 for the tropical region. The melting layer top and bottom heights are then estimated using the proposed threshold, and it is observed from this study that the thickness of convective rain melting layer is around 2 times that of stratiform rain melting layer which is detected by using the conventional ρHV=0.97 . Published version 2018-12-17T02:45:45Z 2019-12-06T17:13:39Z 2018-12-17T02:45:45Z 2019-12-06T17:13:39Z 2018 Journal Article Yuan, F., Lee, Y. H., Meng, Y. H., & Ong, J. T. (2018). Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region. Remote Sensing, 10(11), 1740-. doi: 10.3390/rs10111740 2072-4292 https://hdl.handle.net/10356/88914 http://hdl.handle.net/10220/46981 10.3390/rs10111740 en Remote Sensing © 2018 The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 12 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
Melting Layer
Convective Rain
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Melting Layer
Convective Rain
Yuan, Feng
Lee, Yee Hui
Meng, Yu Song
Ong, Jin Teong
Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region
description In the tropical region, convective rain is a dominant rain event. However, very little information is known about the convective rain melting layer. In this paper, S-band dual-polarized radar data is studied in order to identify both the stratiform and convective rain melting layers in the tropical region, with a focus on the convective events. By studying and analyzing the above-mentioned two types of rain events, amongst three radar measurements of reflectivity ( Z ), differential reflectivity ( ZDR ), and cross correlation coefficient ( ρHV ), the latter one is the best indicator for convective rain melting layer detection. From two years (2014 and 2015) of radar and radiosonde observations, 13 convective rain melting layers are identified with available 0 °C isothermal heights which are derived from radiosonde vertical profiles. By comparing the melting layer top heights with the corresponding 0 °C isothermal heights, it is found that for convective rain events, the threshold to detect melting layer should be modified to ρHV=0.95 for the tropical region. The melting layer top and bottom heights are then estimated using the proposed threshold, and it is observed from this study that the thickness of convective rain melting layer is around 2 times that of stratiform rain melting layer which is detected by using the conventional ρHV=0.97 .
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yuan, Feng
Lee, Yee Hui
Meng, Yu Song
Ong, Jin Teong
format Article
author Yuan, Feng
Lee, Yee Hui
Meng, Yu Song
Ong, Jin Teong
author_sort Yuan, Feng
title Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region
title_short Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region
title_full Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region
title_fullStr Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region
title_full_unstemmed Characterization of S-band dual-polarized radar data for the convective rain melting layer detection in a tropical region
title_sort characterization of s-band dual-polarized radar data for the convective rain melting layer detection in a tropical region
publishDate 2018
url https://hdl.handle.net/10356/88914
http://hdl.handle.net/10220/46981
_version_ 1681048564771323904