| contributor author | Benzi, R. | |
| contributor author | Marrocu, M. | |
| contributor author | Mazzino, A. | |
| contributor author | Trovatore, E. | |
| date accessioned | 2017-06-09T14:35:47Z | |
| date available | 2017-06-09T14:35:47Z | |
| date copyright | 1999/10/01 | |
| date issued | 1999 | |
| identifier issn | 0022-4928 | |
| identifier other | ams-22463.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4158916 | |
| description abstract | Methods to quantify predictability properties of atmospheric flows are proposed. The ?extended self-similarity? technique, recently employed in turbulence data analysis, is used to characterize predictability properties at both short and long times. These methods are applied to the low-order atmospheric model of Lorenz. Also investigated is how initialization procedures that eliminate gravity waves from the model dynamics influence predictability properties. | |
| publisher | American Meteorological Society | |
| title | Characterization of the Long-Time and Short-Time Predictability of Low-Order Models of the Atmosphere | |
| type | Journal Paper | |
| journal volume | 56 | |
| journal issue | 20 | |
| journal title | Journal of the Atmospheric Sciences | |
| identifier doi | 10.1175/1520-0469(1999)056<3495:COTLTA>2.0.CO;2 | |
| journal fristpage | 3495 | |
| journal lastpage | 3507 | |
| tree | Journal of the Atmospheric Sciences:;1999:;Volume( 056 ):;issue: 020 | |
| contenttype | Fulltext | |