Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns
In climate research, pressure patterns are often very important. When a climatologists need to know the days of a specific pressure pattern, for example "low pressure in Western areas of Japan and high pressure in Eastern areas of Japan (Japanese winter-type weather)," they have to visuall...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2009-04-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/304 |
| _version_ | 1828521695507382272 |
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| author | H Kimura H Kawashima H Kusaka H Kitagawa |
| author_facet | H Kimura H Kawashima H Kusaka H Kitagawa |
| author_sort | H Kimura |
| collection | DOAJ |
| description | In climate research, pressure patterns are often very important. When a climatologists need to know the days of a specific pressure pattern, for example "low pressure in Western areas of Japan and high pressure in Eastern areas of Japan (Japanese winter-type weather)," they have to visually check a huge number of surface weather charts. To overcome this problem, we propose an automatic classification system using a support vector machine (SVM), which is a machine-learning method. We attempted to classify pressure patterns into two classes: "winter type" and "non-winter type". For both training datasets and test datasets, we used the JRA-25 dataset from 1981 to 2000. An experimental evaluation showed that our method obtained a greater than 0.8 F-measure. We noted that variations in results were based on differences in training datasets. |
| first_indexed | 2024-12-11T19:54:23Z |
| format | Article |
| id | doaj.art-078aa78690bd4e35bd3ba3c8c06d1661 |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-12-11T19:54:23Z |
| publishDate | 2009-04-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-078aa78690bd4e35bd3ba3c8c06d16612022-12-22T00:52:41ZengUbiquity PressData Science Journal1683-14702009-04-01810.2481/dsj.8.S59305Applying a Machine Learning Technique to Classification of Japanese Pressure PatternsH Kimura0H Kawashima1H Kusaka2H Kitagawa3Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, JapanGraduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan Center for Computational Sciences, University of Tsukuba, Tsukuba, Ibaraki, JapanCenter for Computational Sciences, University of Tsukuba, Tsukuba, Ibaraki, JapanGraduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan Center for Computational Sciences, University of Tsukuba, Tsukuba, Ibaraki, JapanIn climate research, pressure patterns are often very important. When a climatologists need to know the days of a specific pressure pattern, for example "low pressure in Western areas of Japan and high pressure in Eastern areas of Japan (Japanese winter-type weather)," they have to visually check a huge number of surface weather charts. To overcome this problem, we propose an automatic classification system using a support vector machine (SVM), which is a machine-learning method. We attempted to classify pressure patterns into two classes: "winter type" and "non-winter type". For both training datasets and test datasets, we used the JRA-25 dataset from 1981 to 2000. An experimental evaluation showed that our method obtained a greater than 0.8 F-measure. We noted that variations in results were based on differences in training datasets.http://datascience.codata.org/articles/304support vector machine (SVM)machine learningpressure patternclassification |
| spellingShingle | H Kimura H Kawashima H Kusaka H Kitagawa Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns Data Science Journal support vector machine (SVM) machine learning pressure pattern classification |
| title | Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns |
| title_full | Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns |
| title_fullStr | Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns |
| title_full_unstemmed | Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns |
| title_short | Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns |
| title_sort | applying a machine learning technique to classification of japanese pressure patterns |
| topic | support vector machine (SVM) machine learning pressure pattern classification |
| url | http://datascience.codata.org/articles/304 |
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