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contributor authorFortin, V.
contributor authorAbaza, M.
contributor authorAnctil, F.
contributor authorTurcotte, R.
date accessioned2017-06-09T17:15:49Z
date available2017-06-09T17:15:49Z
date copyright2014/08/01
date issued2014
identifier issn1525-755X
identifier otherams-82052.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225124
description abstracthen 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.
publisherAmerican Meteorological Society
titleWhy Should Ensemble Spread Match the RMSE of the Ensemble Mean?
typeJournal Paper
journal volume15
journal issue4
journal titleJournal of Hydrometeorology
identifier doi10.1175/JHM-D-14-0008.1
journal fristpage1708
journal lastpage1713
treeJournal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 004
contenttypeFulltext


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