Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea
To assess the performance of rainfall estimation using specific differential phase observed by Bislsan radar, the first polarimetric radar in Korea, three rainfall cases occurring in 2011 were selected, each caused by different conditions: the first is the Changma front and typhoon, the second is on...
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| Format: | Article |
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Wiley
2014-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2014/413717 |
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| author | Cheol-Hwan You Dong-In Lee Mi-Young Kang |
| author_facet | Cheol-Hwan You Dong-In Lee Mi-Young Kang |
| author_sort | Cheol-Hwan You |
| collection | DOAJ |
| description | To assess the performance of rainfall estimation using specific differential phase observed by Bislsan radar, the first polarimetric radar in Korea, three rainfall cases occurring in 2011 were selected, each caused by different conditions: the first is the Changma front and typhoon, the second is only the Changma front, and the third is only a typhoon. For quantitative use of specific differential phase (KDP), a data quality algorithm was developed for differential phase shift (ΦDP), composed of two steps; the first involves removal of scattered noise and the second is unfolding of ΦDP. This order of the algorithm is necessary so as not to remove unfolded areas, which are the real meteorological target. All noise was removed and the folded ΦDP were unfolded successfully for this study. RKDP relations for S-band radar were calculated for 84,754 samples of observed drop size distribution (DSD) using different drop shape assumptions. The relation for the Bringi drop shape showed the best statistics: 0.28 for normalized error, and 6.7 mm for root mean square error for rainfall heavier than 10 mm h-1. Because the drop shape assumption affects the accuracy of rainfall estimation differently for different rainfall types, such characteristics should be taken into account to estimate rainfall more accurately using polarimetric variables. |
| format | Article |
| id | doaj-art-1fa2a151ddb74536a2f4f3dd1c3e87c8 |
| institution | OA Journals |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
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| series | Advances in Meteorology |
| spelling | doaj-art-1fa2a151ddb74536a2f4f3dd1c3e87c82025-08-20T02:04:14ZengWileyAdvances in Meteorology1687-93091687-93172014-01-01201410.1155/2014/413717413717Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in KoreaCheol-Hwan You0Dong-In Lee1Mi-Young Kang2Hydrospheric Atmospheric Research Center, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, JapanDepartment of Environmental Atmospheric Sciences, Pukyong National University, Yongso-ro, Nam-gu, Busan 608-737, Republic of KoreaHydrospheric Atmospheric Research Center, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, JapanTo assess the performance of rainfall estimation using specific differential phase observed by Bislsan radar, the first polarimetric radar in Korea, three rainfall cases occurring in 2011 were selected, each caused by different conditions: the first is the Changma front and typhoon, the second is only the Changma front, and the third is only a typhoon. For quantitative use of specific differential phase (KDP), a data quality algorithm was developed for differential phase shift (ΦDP), composed of two steps; the first involves removal of scattered noise and the second is unfolding of ΦDP. This order of the algorithm is necessary so as not to remove unfolded areas, which are the real meteorological target. All noise was removed and the folded ΦDP were unfolded successfully for this study. RKDP relations for S-band radar were calculated for 84,754 samples of observed drop size distribution (DSD) using different drop shape assumptions. The relation for the Bringi drop shape showed the best statistics: 0.28 for normalized error, and 6.7 mm for root mean square error for rainfall heavier than 10 mm h-1. Because the drop shape assumption affects the accuracy of rainfall estimation differently for different rainfall types, such characteristics should be taken into account to estimate rainfall more accurately using polarimetric variables.http://dx.doi.org/10.1155/2014/413717 |
| spellingShingle | Cheol-Hwan You Dong-In Lee Mi-Young Kang Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea Advances in Meteorology |
| title | Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea |
| title_full | Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea |
| title_fullStr | Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea |
| title_full_unstemmed | Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea |
| title_short | Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea |
| title_sort | rainfall estimation using specific differential phase for the first operational polarimetric radar in korea |
| url | http://dx.doi.org/10.1155/2014/413717 |
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