{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T20:11:57Z","timestamp":1779135117621,"version":"3.51.4"},"reference-count":82,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,14]],"date-time":"2020-02-14T00:00:00Z","timestamp":1581638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea Meteorological Industry Promotion Agency","award":["KMI 2018-05410"],"award-info":[{"award-number":["KMI 2018-05410"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Tools to identify and classify stratiform and convective rains at various times of the 12 days from June 2015 to March 2016 in Jincheon, Korea, were developed by using a Parsivel disdrometer and S-band polarimetric (S-POL) radar data. Stratiform and convective rains were identified using three different methods (vertical profile of reflectivity (VPR), the method proposed by Bringi et al. (BR03), and a combination of the two (BR03-VPR)) by using a Parsivel disdrometer for its applications to radar as a reference. BR03-VPR exhibits a better classification scheme than the VPR and BR03 methods. The rain types were compared using the drop size distribution (DSD) retrieved from polarimetric variables and reflectivity only. By using the DSD variables, a new convective\/stratiform classification line of the log-normalized droplet number concentration (     log 10   N w   ) \u2212      median volume diameter (    D 0    ) was derived for this area to classify the rainfall types using DSD variables retrieved from the polarimetric radar. For the radar variables, the method by Steiner et al. (SHY95) was found to be the best method, with 0.00% misclassification of the stratiform rains. For the convective rains, the DSD retrieval method performed better. However, for both stratiform and convective rains, the fuzzy method performed better than the SHY95 and DSD retrieval methods.<\/jats:p>","DOI":"10.3390\/rs12040642","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T03:20:03Z","timestamp":1582168803000},"page":"642","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Classification of Rainfall Types Using Parsivel Disdrometer and S-Band Polarimetric Radar in Central Korea"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6739-6263","authenticated-orcid":false,"given":"Jui Le","family":"Loh","sequence":"first","affiliation":[{"name":"Department of Environmental Atmospheric Sciences, Pukyong National University, Busan 608-737, Korea"},{"name":"Department of Atmospheric Sciences, National Central University, Zhongli, Taoyuan City 320-01, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong-In","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Environmental Atmospheric Sciences, Pukyong National University, Busan 608-737, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mi-Young","family":"Kang","sequence":"additional","affiliation":[{"name":"Atmospheric Environmental Research Institute, Pukyong National University, Busan 608-737, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7308-241X","authenticated-orcid":false,"given":"Cheol-Hwan","family":"You","sequence":"additional","affiliation":[{"name":"Atmospheric Environmental Research Institute, Pukyong National University, Busan 608-737, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1017\/S1350482704001409","article-title":"A convective\/stratiform precipitation classification algorithm for volume scanning weather radar observations","volume":"11","author":"Anagnostou","year":"2004","journal-title":"Meteorol. 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