Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics

Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics

The response of a simplified global atmospheric circulation model (PUMA) to spatiotemporal stochastic forcing is analyzed using the statistical measures originally developed for ensemble forecast evaluation. The nontrivial effects of time and length correlations of the stochastic forcing on the...

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Main Authors: V. Pérez-Muñuzuri, M. N. Lorenzo, P. Montero, K. Fraedrich, E. Kirk, F. Lunkeit
Format: Article
Language:English
Published: Copernicus Publications 2003-01-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/10/453/2003/npg-10-453-2003.pdf
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spelling doaj-775155f3691244ec9ffc6e6c1cc6ac4d2020-11-25T00:01:25ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462003-01-01106453461Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statisticsV. Pérez-MuñuzuriM. N. LorenzoP. MonteroK. FraedrichE. KirkF. LunkeitThe response of a simplified global atmospheric circulation model (PUMA) to spatiotemporal stochastic forcing is analyzed using the statistical measures originally developed for ensemble forecast evaluation. The nontrivial effects of time and length correlations of the stochastic forcing on the ensemble scores (e.g. spread and 'error') are studied. A maximum for these scores is observed to occur for specific values of the correlation time. The effects of multiplicative and additive contributions of the correlated noise are analyzed in terms of the noise and PUMA parameters.http://www.nonlin-processes-geophys.net/10/453/2003/npg-10-453-2003.pdf
collection DOAJ
language English
format Article
sources DOAJ
author V. Pérez-Muñuzuri
M. N. Lorenzo
P. Montero
K. Fraedrich
E. Kirk
F. Lunkeit
spellingShingle V. Pérez-Muñuzuri
M. N. Lorenzo
P. Montero
K. Fraedrich
E. Kirk
F. Lunkeit
Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
Nonlinear Processes in Geophysics
author_facet V. Pérez-Muñuzuri
M. N. Lorenzo
P. Montero
K. Fraedrich
E. Kirk
F. Lunkeit
author_sort V. Pérez-Muñuzuri
title Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
title_short Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
title_full Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
title_fullStr Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
title_full_unstemmed Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
title_sort response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
publisher Copernicus Publications
series Nonlinear Processes in Geophysics
issn 1023-5809
1607-7946
publishDate 2003-01-01
description The response of a simplified global atmospheric circulation model (PUMA) to spatiotemporal stochastic forcing is analyzed using the statistical measures originally developed for ensemble forecast evaluation. The nontrivial effects of time and length correlations of the stochastic forcing on the ensemble scores (e.g. spread and 'error') are studied. A maximum for these scores is observed to occur for specific values of the correlation time. The effects of multiplicative and additive contributions of the correlated noise are analyzed in terms of the noise and PUMA parameters.
url http://www.nonlin-processes-geophys.net/10/453/2003/npg-10-453-2003.pdf
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