Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network
The complex temporal-spatial variation of raindrop size distribution will affect the precision of precipitation quantitative estimates (QPE) produced from radar data, making it difficult to correct echo attenuation. Given the fact that microwave links can obtain the total path attenuation accurately...
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Language: | English |
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Wiley
2017-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2017/8621239 |
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author | Yang Xue Xi-chuan Liu Tai-chang Gao Chang-ye Yang Kun Song |
author_facet | Yang Xue Xi-chuan Liu Tai-chang Gao Chang-ye Yang Kun Song |
author_sort | Yang Xue |
collection | DOAJ |
description | The complex temporal-spatial variation of raindrop size distribution will affect the precision of precipitation quantitative estimates (QPE) produced from radar data, making it difficult to correct echo attenuation. Given the fact that microwave links can obtain the total path attenuation accurately, we introduce the concept of regional attenuation correction using a multiple-microwave-links network based on the tomographic reconstruction of attenuation coefficients. Derived from the radar-based equation, the effect of rainfall distribution on the propagation of radar and microwave link signals was analyzed. This article focuses on modeling of the tomographic reconstruction of attenuation coefficients and regional attenuation correction algorithms. Finally, a numerical simulation of regional attenuation correction was performed to verify the algorithms employed here. The results demonstrate that the correction coefficient (0.9175) falls between the corrected and initial field of radar reflectivity factor (root mean square error, 2.3476 dBz; average deviation, 0.0113 dBz). Compared with uncorrected data, the accuracy of the corrected radar reflectivity factor was improved by 26.12%, and the corrected rainfall intensity distribution was improved by 51.85% validating the region attenuation correction algorithm. This method can correct the regional attenuation of weather radar echo effectively and efficiently; it can be widely used for the radar attenuation correction and the promotion of quantitative precipitation estimation by weather radar. |
format | Article |
id | doaj-art-2684c9ea508e42a8994e4d40a81d3d5e |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Meteorology |
spelling | doaj-art-2684c9ea508e42a8994e4d40a81d3d5e2025-02-03T05:57:07ZengWileyAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/86212398621239Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links NetworkYang Xue0Xi-chuan Liu1Tai-chang Gao2Chang-ye Yang3Kun Song4College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, Jiangsu, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, Jiangsu, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, Jiangsu, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, Jiangsu, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, Jiangsu, ChinaThe complex temporal-spatial variation of raindrop size distribution will affect the precision of precipitation quantitative estimates (QPE) produced from radar data, making it difficult to correct echo attenuation. Given the fact that microwave links can obtain the total path attenuation accurately, we introduce the concept of regional attenuation correction using a multiple-microwave-links network based on the tomographic reconstruction of attenuation coefficients. Derived from the radar-based equation, the effect of rainfall distribution on the propagation of radar and microwave link signals was analyzed. This article focuses on modeling of the tomographic reconstruction of attenuation coefficients and regional attenuation correction algorithms. Finally, a numerical simulation of regional attenuation correction was performed to verify the algorithms employed here. The results demonstrate that the correction coefficient (0.9175) falls between the corrected and initial field of radar reflectivity factor (root mean square error, 2.3476 dBz; average deviation, 0.0113 dBz). Compared with uncorrected data, the accuracy of the corrected radar reflectivity factor was improved by 26.12%, and the corrected rainfall intensity distribution was improved by 51.85% validating the region attenuation correction algorithm. This method can correct the regional attenuation of weather radar echo effectively and efficiently; it can be widely used for the radar attenuation correction and the promotion of quantitative precipitation estimation by weather radar.http://dx.doi.org/10.1155/2017/8621239 |
spellingShingle | Yang Xue Xi-chuan Liu Tai-chang Gao Chang-ye Yang Kun Song Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network Advances in Meteorology |
title | Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network |
title_full | Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network |
title_fullStr | Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network |
title_full_unstemmed | Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network |
title_short | Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network |
title_sort | regional attenuation correction of weather radar using a distributed microwave links network |
url | http://dx.doi.org/10.1155/2017/8621239 |
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