| contributor author | Guttorp, Peter | |
| contributor author | Kim, Tae Yen | |
| date accessioned | 2017-06-09T17:07:52Z | |
| date available | 2017-06-09T17:07:52Z | |
| date copyright | 2013/09/01 | |
| date issued | 2013 | |
| identifier issn | 0894-8755 | |
| identifier other | ams-79846.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4222671 | |
| description abstract | anking years based on statistical estimates of regional and temporal averages is subject to uncertainty. This uncertainty can in fact be quite substantial and can be described by the rank distribution of an ensemble of such averages. The authors develop a method for estimating it using simulation. The effect of temporal correlation is quite limited in the case studied in this paper: the contiguous United States' annual-mean temperature. The method also allows assessment of derived quantities such as the probability of a given year being one of the 10 warmest in the historical record. | |
| publisher | American Meteorological Society | |
| title | Uncertainty in Ranking the Hottest Years of U.S. Surface Temperatures | |
| type | Journal Paper | |
| journal volume | 26 | |
| journal issue | 17 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/JCLI-D-12-00760.1 | |
| journal fristpage | 6323 | |
| journal lastpage | 6328 | |
| tree | Journal of Climate:;2013:;volume( 026 ):;issue: 017 | |
| contenttype | Fulltext | |