Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8

In this study, a dual-polarimetric radar observation operator is established and modified for the Taiwan area for the purpose of model verification. A severe squall line case during the Southwest Monsoon Experiment Intensive Observing Period 8 (SoWMEX IOP#8) on 14 June 2008, is selected and examined...

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Main Authors: Cheng-Rong You, Kao-Shen Chung, Chih-Chien Tsai
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/12/18/3004
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author Cheng-Rong You
Kao-Shen Chung
Chih-Chien Tsai
author_facet Cheng-Rong You
Kao-Shen Chung
Chih-Chien Tsai
author_sort Cheng-Rong You
collection DOAJ
description In this study, a dual-polarimetric radar observation operator is established and modified for the Taiwan area for the purpose of model verification. A severe squall line case during the Southwest Monsoon Experiment Intensive Observing Period 8 (SoWMEX IOP#8) on 14 June 2008, is selected and examined. Because the operator is adopted from the use of the midlatitude region, sensitivity tests are performed to obtain the optimal setting of the operator in the subtropical region. To accurately capture the dynamic structure of the squall lines, the ensemble-based data assimilation system, which assimilates both radial wind and reflectivity data, is used to obtain the optimal analysis field on the mesoscale for evaluating the performance of model simulation. The characteristics of two microphysics schemes are investigated, and the results obtained using the schemes are compared with the S-band dual-polarimetric radar observations. The horizontal and vertical cross-sections show that the analyses resemble the observations. Both schemes can replicate the polarimetric parameter signature such as <inline-formula><math display="inline"><semantics><mrow><msub><mi>Z</mi><mrow><mi>D</mi><mi>R</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><mrow><msub><mi>K</mi><mrow><mi>D</mi><mi>P</mi></mrow></msub></mrow></semantics></math></inline-formula> columns. When comparing model simulation with polarimetric parameters through the drawing of contour frequency by altitude diagrams (CFADs), the results reveal that the single moment microphysics scheme performs better than the double moment scheme in this case. However, the reflectivity field in the stratiform area is more accurately captured when using the double moment scheme. Furthermore, validation with polarimetric variables (<inline-formula><math display="inline"><semantics><mrow><msub><mi>Z</mi><mi>H</mi></msub></mrow></semantics></math></inline-formula>, <inline-formula><math display="inline"><semantics><mrow><msub><mi>Z</mi><mrow><mi>D</mi><mi>R</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><mrow><msub><mi>K</mi><mrow><mi>D</mi><mi>P</mi></mrow></msub></mrow></semantics></math></inline-formula>) histograms shows underestimation of the <inline-formula><math display="inline"><semantics><mrow><msub><mi>K</mi><mrow><mi>D</mi><mi>P</mi></mrow></msub></mrow></semantics></math></inline-formula> field in both schemes. Overall, this study indicates the benefit of assimilating radial wind and reflectivity data for the analyses of severe precipitation systems and the necessity of assimilating polarimetric parameters for the accuracy of microphysical processes, especially complex microphysics schemes in subtropical region.
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spelling doaj.art-a30da95d912f415dbea607175eac18892023-11-20T13:49:08ZengMDPI AGRemote Sensing2072-42922020-09-011218300410.3390/rs12183004Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8Cheng-Rong You0Kao-Shen Chung1Chih-Chien Tsai2Department of Atmospheric Sciences, National Central University, Chung-Li District, Tao-Yuan City 32001, TaiwanDepartment of Atmospheric Sciences, National Central University, Chung-Li District, Tao-Yuan City 32001, TaiwanNational Science and Technology Center for Disaster Reduction, Xin-Dian District, New Taipei City 23143, TaiwanIn this study, a dual-polarimetric radar observation operator is established and modified for the Taiwan area for the purpose of model verification. A severe squall line case during the Southwest Monsoon Experiment Intensive Observing Period 8 (SoWMEX IOP#8) on 14 June 2008, is selected and examined. Because the operator is adopted from the use of the midlatitude region, sensitivity tests are performed to obtain the optimal setting of the operator in the subtropical region. To accurately capture the dynamic structure of the squall lines, the ensemble-based data assimilation system, which assimilates both radial wind and reflectivity data, is used to obtain the optimal analysis field on the mesoscale for evaluating the performance of model simulation. The characteristics of two microphysics schemes are investigated, and the results obtained using the schemes are compared with the S-band dual-polarimetric radar observations. The horizontal and vertical cross-sections show that the analyses resemble the observations. Both schemes can replicate the polarimetric parameter signature such as <inline-formula><math display="inline"><semantics><mrow><msub><mi>Z</mi><mrow><mi>D</mi><mi>R</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><mrow><msub><mi>K</mi><mrow><mi>D</mi><mi>P</mi></mrow></msub></mrow></semantics></math></inline-formula> columns. When comparing model simulation with polarimetric parameters through the drawing of contour frequency by altitude diagrams (CFADs), the results reveal that the single moment microphysics scheme performs better than the double moment scheme in this case. However, the reflectivity field in the stratiform area is more accurately captured when using the double moment scheme. Furthermore, validation with polarimetric variables (<inline-formula><math display="inline"><semantics><mrow><msub><mi>Z</mi><mi>H</mi></msub></mrow></semantics></math></inline-formula>, <inline-formula><math display="inline"><semantics><mrow><msub><mi>Z</mi><mrow><mi>D</mi><mi>R</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><mrow><msub><mi>K</mi><mrow><mi>D</mi><mi>P</mi></mrow></msub></mrow></semantics></math></inline-formula>) histograms shows underestimation of the <inline-formula><math display="inline"><semantics><mrow><msub><mi>K</mi><mrow><mi>D</mi><mi>P</mi></mrow></msub></mrow></semantics></math></inline-formula> field in both schemes. Overall, this study indicates the benefit of assimilating radial wind and reflectivity data for the analyses of severe precipitation systems and the necessity of assimilating polarimetric parameters for the accuracy of microphysical processes, especially complex microphysics schemes in subtropical region.https://www.mdpi.com/2072-4292/12/18/3004dual-polarimetric radar parametersradar data assimilationmodel validation
spellingShingle Cheng-Rong You
Kao-Shen Chung
Chih-Chien Tsai
Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8
Remote Sensing
dual-polarimetric radar parameters
radar data assimilation
model validation
title Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8
title_full Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8
title_fullStr Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8
title_full_unstemmed Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8
title_short Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8
title_sort evaluating the performance of a convection permitting model by using dual polarimetric radar parameters case study of sowmex iop8
topic dual-polarimetric radar parameters
radar data assimilation
model validation
url https://www.mdpi.com/2072-4292/12/18/3004
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AT kaoshenchung evaluatingtheperformanceofaconvectionpermittingmodelbyusingdualpolarimetricradarparameterscasestudyofsowmexiop8
AT chihchientsai evaluatingtheperformanceofaconvectionpermittingmodelbyusingdualpolarimetricradarparameterscasestudyofsowmexiop8