contributor author | Fortin, V. | |
contributor author | Abaza, M. | |
contributor author | Anctil, F. | |
contributor author | Turcotte, R. | |
date accessioned | 2017-06-09T17:15:49Z | |
date available | 2017-06-09T17:15:49Z | |
date copyright | 2014/08/01 | |
date issued | 2014 | |
identifier issn | 1525-755X | |
identifier other | ams-82052.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4225124 | |
description abstract | hen evaluating the reliability of an ensemble prediction system, it is common to compare the root-mean-square error of the ensemble mean to the average ensemble spread. While this is indeed good practice, two different and inconsistent methodologies have been used over the last few years in the meteorology and hydrology literature to compute the average ensemble spread. In some cases, the square root of average ensemble variance is used, and in other cases, the average of ensemble standard deviation is computed instead. The second option is incorrect. To avoid the perpetuation of practices that are not supported by probability theory, the correct equation for computing the average ensemble spread is obtained and the impact of using the wrong equation is illustrated. | |
publisher | American Meteorological Society | |
title | Why Should Ensemble Spread Match the RMSE of the Ensemble Mean? | |
type | Journal Paper | |
journal volume | 15 | |
journal issue | 4 | |
journal title | Journal of Hydrometeorology | |
identifier doi | 10.1175/JHM-D-14-0008.1 | |
journal fristpage | 1708 | |
journal lastpage | 1713 | |
tree | Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 004 | |
contenttype | Fulltext | |