| contributor author | Kharin, V. V.;Merryfield, W. J.;Boer, G. J.;Lee, W.-S. | |
| date accessioned | 2018-01-03T11:02:55Z | |
| date available | 2018-01-03T11:02:55Z | |
| date copyright | 6/16/2017 12:00:00 AM | |
| date issued | 2017 | |
| identifier other | mwr-d-16-0337.1.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4246545 | |
| description abstract | AbstractA statistical postprocessing method for seasonal forecasts based on temporally and spatially smoothed climate statistics is introduced. The method uses information available from seasonal hindcasts initialized at the beginning of 12 calendar months. The performance of the method is tested within both deterministic and probabilistic frameworks using output from the ensemble of seasonal hindcasts produced by the Canadian Seasonal to Interannual Prediction System for the 30-yr period 1981?2010. Forecast skill improvements are found to be greater when forecast adjustment parameters estimated for individual seasons and at individual grid points are temporally and spatially smoothed. The greatest skill improvements are typically achieved for seasonally invariant parameters while skill improvements due to additional spatial smoothing are modest. | |
| publisher | American Meteorological Society | |
| title | A Postprocessing Method for Seasonal Forecasts Using Temporally and Spatially Smoothed Statistics | |
| type | Journal Paper | |
| journal volume | 145 | |
| journal issue | 9 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/MWR-D-16-0337.1 | |
| journal fristpage | 3545 | |
| journal lastpage | 3561 | |
| tree | Monthly Weather Review:;2017:;volume( 145 ):;issue: 009 | |
| contenttype | Fulltext | |
