Discovery of teleconnections using data mining technologies in global climate datasets
In this paper, we apply data mining technologies to a 100-year global land precipitation dataset and a 100-year Sea Surface Temperature (SST) dataset. Some interesting teleconnections are discovered, including well-known patterns and unknown patterns (to the best of our knowledge), such as teleconne...
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ftpekinguniv:oai:localhost:20.500.11897/409767 2023-05-15T17:33:48+02:00 Discovery of teleconnections using data mining technologies in global climate datasets Lin, Fan Jin, Xingxing Hu, Cheng Gao, Xiaoping Xie, Kunqing Lei, Xiaofeng Lin, F. Department of Intelligent Science, Peking University, Beijing, 100871, China 2007 https://hdl.handle.net/20.500.11897/409767 https://doi.org/10.2481/dsj.6.S749 en eng data science journal Data Science Journal.2007,6,(SUPPL.),S749-S755. 1078623 16831470 http://hdl.handle.net/20.500.11897/409767 doi:10.2481/dsj.6.S749 EI Journal 2007 ftpekinguniv https://doi.org/20.500.11897/409767 https://doi.org/10.2481/dsj.6.S749 2021-08-01T10:31:02Z In this paper, we apply data mining technologies to a 100-year global land precipitation dataset and a 100-year Sea Surface Temperature (SST) dataset. Some interesting teleconnections are discovered, including well-known patterns and unknown patterns (to the best of our knowledge), such as teleconnections between the abnormally low temperature events of the North Atlantic and floods in Northern Bolivia, abnormally low temperatures of the Venezuelan Coast and floods in Northern Algeria and Tunisia, etc. In particular, we use a high dimensional clustering method and a method that mines episode association rules in event sequences. The former is used to cluster the original time series datasets into higher spatial granularity, and the later is used to discover teleconnection patterns among events sequences that are generated by the clustering method. In order to verify our method, we also do experiments on the SOI index and a 100-year global land precipitation dataset and find many well-known teleconnections, such as teleconnections between SOI lower events and drought events of Eastern Australia, South Africa, and North Brazil; SOI lower events and flood events of the middle-lower reaches of Yangtze River; etc. We also do explorative experiments to help domain scientists discover new knowledge. EI 0 SUPPL. S749-S755 6 Journal/Newspaper North Atlantic Peking University Institutional Repository (PKU IR) Soi ENVELOPE(30.704,30.704,66.481,66.481) Data Science Journal 6 S749 S755 |
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Open Polar |
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Peking University Institutional Repository (PKU IR) |
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ftpekinguniv |
language |
English |
description |
In this paper, we apply data mining technologies to a 100-year global land precipitation dataset and a 100-year Sea Surface Temperature (SST) dataset. Some interesting teleconnections are discovered, including well-known patterns and unknown patterns (to the best of our knowledge), such as teleconnections between the abnormally low temperature events of the North Atlantic and floods in Northern Bolivia, abnormally low temperatures of the Venezuelan Coast and floods in Northern Algeria and Tunisia, etc. In particular, we use a high dimensional clustering method and a method that mines episode association rules in event sequences. The former is used to cluster the original time series datasets into higher spatial granularity, and the later is used to discover teleconnection patterns among events sequences that are generated by the clustering method. In order to verify our method, we also do experiments on the SOI index and a 100-year global land precipitation dataset and find many well-known teleconnections, such as teleconnections between SOI lower events and drought events of Eastern Australia, South Africa, and North Brazil; SOI lower events and flood events of the middle-lower reaches of Yangtze River; etc. We also do explorative experiments to help domain scientists discover new knowledge. EI 0 SUPPL. S749-S755 6 |
author2 |
Lin, F. Department of Intelligent Science, Peking University, Beijing, 100871, China |
format |
Journal/Newspaper |
author |
Lin, Fan Jin, Xingxing Hu, Cheng Gao, Xiaoping Xie, Kunqing Lei, Xiaofeng |
spellingShingle |
Lin, Fan Jin, Xingxing Hu, Cheng Gao, Xiaoping Xie, Kunqing Lei, Xiaofeng Discovery of teleconnections using data mining technologies in global climate datasets |
author_facet |
Lin, Fan Jin, Xingxing Hu, Cheng Gao, Xiaoping Xie, Kunqing Lei, Xiaofeng |
author_sort |
Lin, Fan |
title |
Discovery of teleconnections using data mining technologies in global climate datasets |
title_short |
Discovery of teleconnections using data mining technologies in global climate datasets |
title_full |
Discovery of teleconnections using data mining technologies in global climate datasets |
title_fullStr |
Discovery of teleconnections using data mining technologies in global climate datasets |
title_full_unstemmed |
Discovery of teleconnections using data mining technologies in global climate datasets |
title_sort |
discovery of teleconnections using data mining technologies in global climate datasets |
publisher |
data science journal |
publishDate |
2007 |
url |
https://hdl.handle.net/20.500.11897/409767 https://doi.org/10.2481/dsj.6.S749 |
long_lat |
ENVELOPE(30.704,30.704,66.481,66.481) |
geographic |
Soi |
geographic_facet |
Soi |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
EI |
op_relation |
Data Science Journal.2007,6,(SUPPL.),S749-S755. 1078623 16831470 http://hdl.handle.net/20.500.11897/409767 doi:10.2481/dsj.6.S749 |
op_doi |
https://doi.org/20.500.11897/409767 https://doi.org/10.2481/dsj.6.S749 |
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Data Science Journal |
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6 |
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S749 |
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S755 |
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1766132428113444864 |