| contributor author | Mohan, T. R. Krishna | |
| contributor author | Rao, J. Subba | |
| contributor author | Ramaswamy, R. | |
| date accessioned | 2017-06-09T15:10:04Z | |
| date available | 2017-06-09T15:10:04Z | |
| date copyright | 1989/09/01 | |
| date issued | 1989 | |
| identifier issn | 0894-8755 | |
| identifier other | ams-3626.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4174245 | |
| description abstract | It has been conjectured that the unpredictability of climatic systems is due to strange attractors (SAs) in the configuration space dynamics. One climatic record, the oxygen isotope ratio data from deep-sea cores that pertains to long periods on the order of one million years and provides direct correlation with the glaciation-deglaciation periods, seemed to indicate (under earlier analysis) a low dimensional attractor of correlation dimension D2 ≈ 3.1. Our present reanalysis of this data in light of recent methods suggested by Broomhead and King (BK) is at variance with that result. Two (model) four-variable systems that support chaotic strange attractors are examined using an analysis similar to BK to investigate the practical drawbacks of using a short time-series vis-a-vis the estimation of attractor dimension. | |
| publisher | American Meteorological Society | |
| title | Dimension Analysis of Climatic Data | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 9 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/1520-0442(1989)002<1047:DAOCD>2.0.CO;2 | |
| journal fristpage | 1047 | |
| journal lastpage | 1057 | |
| tree | Journal of Climate:;1989:;volume( 002 ):;issue: 009 | |
| contenttype | Fulltext | |
