Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Yong-Hyuk | - |
dc.contributor.author | Yoon, Yourim | - |
dc.date.available | 2020-02-28T06:43:20Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1687-9309 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/9694 | - |
dc.description.abstract | Spatiotemporal pattern networks of heavy rain among automatic weather stations, which reflect the mobility of heavy rain, were constructed and analyzed based on the hourly precipitation data over the last ten years (from 2003 to 2012) in South Korea. Moreover, a new algorithm applying the constructed heavy-rain pattern networks to very-short-term heavy-rain prediction was developed, and significant prediction results could be obtained. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | HINDAWI LTD | - |
dc.relation.isPartOf | ADVANCES IN METEOROLOGY | - |
dc.title | Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000367970400001 | - |
dc.identifier.doi | 10.1155/2016/4063632 | - |
dc.identifier.bibliographicCitation | ADVANCES IN METEOROLOGY | - |
dc.identifier.scopusid | 2-s2.0-84954525418 | - |
dc.citation.title | ADVANCES IN METEOROLOGY | - |
dc.contributor.affiliatedAuthor | Yoon, Yourim | - |
dc.type.docType | Article | - |
dc.relation.journalResearchArea | Meteorology & Atmospheric Sciences | - |
dc.relation.journalWebOfScienceCategory | Meteorology & Atmospheric Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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