contributor author | Magnusson, Linus | |
contributor author | Leutbecher, Martin | |
contributor author | Källén, Erland | |
date accessioned | 2017-06-09T16:26:21Z | |
date available | 2017-06-09T16:26:21Z | |
date copyright | 2008/11/01 | |
date issued | 2008 | |
identifier issn | 0027-0644 | |
identifier other | ams-67884.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4209380 | |
description abstract | In this paper a study aimed at comparing the perturbation methodologies based on the singular vector ensemble prediction system (SV-EPS) and the breeding vector ensemble prediction system (BV-EPS) in the same model environment is presented. A simple breeding system (simple BV-EPS) as well as one with regional rescaling dependent on an estimate of the analysis error variance (masked BV-EPS) were used. The ECMWF Integrated Forecast System has been used and the three experiments are compared for 46 forecast cases between 1 December 2005 and 15 January 2006. By studying the distribution of the perturbation energy it was possible to see large differences between the experiments initially, but after 48 h the distributions have converged. Using probabilistic scores, these results show that SV-EPS has a somewhat better performance for the Northern Hemisphere compared to BV-EPS. For the Southern Hemisphere masked BV-EPS and SV-EPS yield almost equal results. For the tropics the masked breeding ensemble shows the best performance during the first 6 days. One reason for this is the current setup of the singular vector ensemble at ECMWF yielding in general very low initial perturbation amplitudes in the tropics. | |
publisher | American Meteorological Society | |
title | Comparison between Singular Vectors and Breeding Vectors as Initial Perturbations for the ECMWF Ensemble Prediction System | |
type | Journal Paper | |
journal volume | 136 | |
journal issue | 11 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/2008MWR2498.1 | |
journal fristpage | 4092 | |
journal lastpage | 4104 | |
tree | Monthly Weather Review:;2008:;volume( 136 ):;issue: 011 | |
contenttype | Fulltext | |