| contributor author | Elsner, J. B. | |
| contributor author | Tsonis, A. A. | |
| date accessioned | 2017-06-09T14:31:15Z | |
| date available | 2017-06-09T14:31:15Z | |
| date copyright | 1993/02/01 | |
| date issued | 1993 | |
| identifier issn | 0022-4928 | |
| identifier other | ams-20846.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4157119 | |
| description abstract | Recent studies have shown how concepts from information theory can be applied to climate models to better understand the problem of climate prediction. This paper describes how information theory, specifically the concept of entropy, can be used in the analysis of short-term precipitation records. The ideas are illustrated through analysis and comparisons of two long, hourly precipitation records. From the results it is concluded that the records are not periodic and are definitely more complex than records of random origin. This complexity, however, arises from underlying deterministic rules indicating the potential for predictability. | |
| publisher | American Meteorological Society | |
| title | Complexity and Predictability of Hourly Precipitation | |
| type | Journal Paper | |
| journal volume | 50 | |
| journal issue | 3 | |
| journal title | Journal of the Atmospheric Sciences | |
| identifier doi | 10.1175/1520-0469(1993)050<0400:CAPOHP>2.0.CO;2 | |
| journal fristpage | 400 | |
| journal lastpage | 405 | |
| tree | Journal of the Atmospheric Sciences:;1993:;Volume( 050 ):;issue: 003 | |
| contenttype | Fulltext | |