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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2007-10-01
|
| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/501 |
| _version_ | 1818331318461661184 |
|---|---|
| author | Fan Lin XingXing Jin Cheng Hu XiaoPing Gao Kunqing Xie XiaoFeng Lei |
| author_facet | Fan Lin XingXing Jin Cheng Hu XiaoPing Gao Kunqing Xie XiaoFeng Lei |
| author_sort | Fan Lin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-13T13:17:57Z |
| format | Article |
| id | doaj.art-05bd806181274a978ff76b709f8fe33a |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-12-13T13:17:57Z |
| publishDate | 2007-10-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-05bd806181274a978ff76b709f8fe33a2022-12-21T23:44:29ZengUbiquity PressData Science Journal1683-14702007-10-01610.2481/dsj.6.S749503Discovery of Teleconnections Using Data Mining Technologies in Global Climate DatasetsFan Lin0XingXing Jin1Cheng Hu2XiaoPing Gao3Kunqing Xie4XiaoFeng Lei5Department of Intelligent Science, Peking University, Beijing 100871, ChinaDepartment of Intelligent Science, Peking University, Beijing 100871, ChinaDepartment of Intelligent Science, Peking University, Beijing 100871, ChinaDepartment of Intelligent Science, Peking University, Beijing 100871, ChinaDepartment of Intelligent Science, Peking University, Beijing 100871, ChinaDepartment of Intelligent Science, Peking University, Beijing 100871, ChinaIn 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.http://datascience.codata.org/articles/501Data miningGlobal Climate DatasetsTeleconnectionLand precipitationSea surface temperature |
| spellingShingle | Fan Lin XingXing Jin Cheng Hu XiaoPing Gao Kunqing Xie XiaoFeng Lei Discovery of Teleconnections Using Data Mining Technologies in Global Climate Datasets Data Science Journal Data mining Global Climate Datasets Teleconnection Land precipitation Sea surface temperature |
| title | 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_short | Discovery of Teleconnections Using Data Mining Technologies in Global Climate Datasets |
| title_sort | discovery of teleconnections using data mining technologies in global climate datasets |
| topic | Data mining Global Climate Datasets Teleconnection Land precipitation Sea surface temperature |
| url | http://datascience.codata.org/articles/501 |
| work_keys_str_mv | AT fanlin discoveryofteleconnectionsusingdataminingtechnologiesinglobalclimatedatasets AT xingxingjin discoveryofteleconnectionsusingdataminingtechnologiesinglobalclimatedatasets AT chenghu discoveryofteleconnectionsusingdataminingtechnologiesinglobalclimatedatasets AT xiaopinggao discoveryofteleconnectionsusingdataminingtechnologiesinglobalclimatedatasets AT kunqingxie discoveryofteleconnectionsusingdataminingtechnologiesinglobalclimatedatasets AT xiaofenglei discoveryofteleconnectionsusingdataminingtechnologiesinglobalclimatedatasets |