Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction
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 constructe...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/4063632 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832558092573736960 |
|---|---|
| author | Yong-Hyuk Kim Yourim Yoon |
| author_facet | Yong-Hyuk Kim Yourim Yoon |
| author_sort | Yong-Hyuk Kim |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4911d078141c44579b7156195a59d4f0 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-4911d078141c44579b7156195a59d4f02025-02-03T01:33:12ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/40636324063632Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain PredictionYong-Hyuk Kim0Yourim Yoon1Department of Computer Science and Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 139-701, Republic of KoreaDepartment of Computer Engineering, Gachon University, 1342 Sengnamdaero, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-701, Republic of KoreaSpatiotemporal 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.http://dx.doi.org/10.1155/2016/4063632 |
| spellingShingle | Yong-Hyuk Kim Yourim Yoon Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction Advances in Meteorology |
| title | Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction |
| title_full | Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction |
| title_fullStr | Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction |
| title_full_unstemmed | Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction |
| title_short | Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction |
| title_sort | spatiotemporal pattern networks of heavy rain among automatic weather stations and very short term heavy rain prediction |
| url | http://dx.doi.org/10.1155/2016/4063632 |
| work_keys_str_mv | AT yonghyukkim spatiotemporalpatternnetworksofheavyrainamongautomaticweatherstationsandveryshorttermheavyrainprediction AT yourimyoon spatiotemporalpatternnetworksofheavyrainamongautomaticweatherstationsandveryshorttermheavyrainprediction |