Empirical mode decomposition analysis of climate changes with special reference to rainfall data
We have used empirical mode decomposition (EMD) method, which is especially well fitted for analyzing time-series data representing nonstationary and nonlinear processes. This method could decompose any time-varying data into a finite set of functions called “intrinsic mode functions” (IMFs). The EM...
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| Format: | Article |
| Language: | English |
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Wiley
2006-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/DDNS/2006/45348 |
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| author | Md. Khademul Islam Molla M. Sayedur Rahman Akimasa Sumi Pabitra Banik |
| author_facet | Md. Khademul Islam Molla M. Sayedur Rahman Akimasa Sumi Pabitra Banik |
| author_sort | Md. Khademul Islam Molla |
| collection | DOAJ |
| description | We have used empirical mode decomposition (EMD) method, which is especially well fitted for analyzing time-series data representing nonstationary and nonlinear processes. This method could decompose any time-varying data into a finite set of functions called “intrinsic mode functions” (IMFs). The EMD analysis successively extracts the IMFs with the highest local temporal frequencies in a recursive way. The extracted IMFs represent a set of successive low-pass spatial filters based entirely on the properties exhibited by the data. The IMFs are mutually orthogonal and more effective in isolating physical processes of various time scales. The results showed that most of the IMFs have normal distribution. Therefore, the energy density distribution of IMF samples satisfies χ2-distribution which is statistically significant. This study suggested that the recent global warming along with decadal climate variability contributes not only to the more extreme warm events, but also to more frequent, long lasting drought and flood. |
| format | Article |
| id | doaj-art-d075b57184004298ab30b36d1b7e8cf6 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2006-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-d075b57184004298ab30b36d1b7e8cf62025-02-03T06:05:11ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2006-01-01200610.1155/DDNS/2006/4534845348Empirical mode decomposition analysis of climate changes with special reference to rainfall dataMd. Khademul Islam Molla0M. Sayedur Rahman1Akimasa Sumi2Pabitra Banik3Department of Frontier Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, JapanCenter for Climate System Research, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8568, JapanCenter for Climate System Research, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8568, JapanAgricultural Science Unit, Indian Statistical Institute, Kolkata, IndiaWe have used empirical mode decomposition (EMD) method, which is especially well fitted for analyzing time-series data representing nonstationary and nonlinear processes. This method could decompose any time-varying data into a finite set of functions called “intrinsic mode functions” (IMFs). The EMD analysis successively extracts the IMFs with the highest local temporal frequencies in a recursive way. The extracted IMFs represent a set of successive low-pass spatial filters based entirely on the properties exhibited by the data. The IMFs are mutually orthogonal and more effective in isolating physical processes of various time scales. The results showed that most of the IMFs have normal distribution. Therefore, the energy density distribution of IMF samples satisfies χ2-distribution which is statistically significant. This study suggested that the recent global warming along with decadal climate variability contributes not only to the more extreme warm events, but also to more frequent, long lasting drought and flood.http://dx.doi.org/10.1155/DDNS/2006/45348 |
| spellingShingle | Md. Khademul Islam Molla M. Sayedur Rahman Akimasa Sumi Pabitra Banik Empirical mode decomposition analysis of climate changes with special reference to rainfall data Discrete Dynamics in Nature and Society |
| title | Empirical mode decomposition analysis of climate changes with special reference to rainfall data |
| title_full | Empirical mode decomposition analysis of climate changes with special reference to rainfall data |
| title_fullStr | Empirical mode decomposition analysis of climate changes with special reference to rainfall data |
| title_full_unstemmed | Empirical mode decomposition analysis of climate changes with special reference to rainfall data |
| title_short | Empirical mode decomposition analysis of climate changes with special reference to rainfall data |
| title_sort | empirical mode decomposition analysis of climate changes with special reference to rainfall data |
| url | http://dx.doi.org/10.1155/DDNS/2006/45348 |
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