Internal variability in Arctic regional climate simulations: case study for the SHEBA year

The sensitivity of a regional climate model (RCM) to lateral boundary forcing (by different numerical weather prediction analysis products and by various temperature perturbations) and to the initial conditions is evaluated for a pan-Arctic domain. The Study focuses on seasonal simulations over the...

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Published in:Climate Research
Main Authors: Rinke, A, Marbaix, Philippe, Dethloff, K
Other Authors: UCL - SC/PHYS - Département de physique
Format: Article in Journal/Newspaper
Language:English
Published: Inter-research 2004
Subjects:
Online Access:http://hdl.handle.net/2078.1/39573
https://doi.org/10.3354/cr027197
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spelling ftunistlouisbrus:oai:dial.uclouvain.be:boreal:39573 2024-05-12T07:58:42+00:00 Internal variability in Arctic regional climate simulations: case study for the SHEBA year Rinke, A Marbaix, Philippe Dethloff, K UCL - SC/PHYS - Département de physique 2004 http://hdl.handle.net/2078.1/39573 https://doi.org/10.3354/cr027197 eng eng Inter-research boreal:39573 http://hdl.handle.net/2078.1/39573 doi:10.3354/cr027197 urn:ISSN:0936-577X urn:EISSN:1616-1572 Climate Research, Vol. 27, no. 3, p. 197-209 (2004) regional climate modeling internal variability Arctic climate info:eu-repo/semantics/article 2004 ftunistlouisbrus https://doi.org/10.3354/cr027197 2024-04-18T18:15:11Z The sensitivity of a regional climate model (RCM) to lateral boundary forcing (by different numerical weather prediction analysis products and by various temperature perturbations) and to the initial conditions is evaluated for a pan-Arctic domain. The Study focuses on seasonal simulations over the period of the Surface Heat Budget of the Arctic Ocean project from October 1997 to September 1998. Small perturbations in the initial and/or lateral boundary conditions can make the model diverge from driving large-scale fields, and the extent to which this Occurs depends on the control of the model by the lateral boundary forcing, not on the origin of the perturbation. The model response to a perturbation does not depend on the type of perturbation, and it is largely independent of the magnitude as well as of the source of the perturbation. Both small and large temperature perturbations have similar consequences for the monthly mean atmospheric patterns and the root mean square difference, but the model response depends on the season. Two regimes in the internal variability were found: (1) large variability in autumn/winter and (2) smaller variability in summer The pronounced magnitude of internal variability must be taken into account in discussing the significance of climate change and climate sensitivity signals in Arctic RCMs. Article in Journal/Newspaper Arctic Arctic Ocean Climate change Surface Heat Budget of the Arctic Ocean DIAL@USL-B (Université Saint-Louis, Bruxelles) Arctic Arctic Ocean Climate Research 27 197 209
institution Open Polar
collection DIAL@USL-B (Université Saint-Louis, Bruxelles)
op_collection_id ftunistlouisbrus
language English
topic regional climate modeling
internal variability
Arctic climate
spellingShingle regional climate modeling
internal variability
Arctic climate
Rinke, A
Marbaix, Philippe
Dethloff, K
Internal variability in Arctic regional climate simulations: case study for the SHEBA year
topic_facet regional climate modeling
internal variability
Arctic climate
description The sensitivity of a regional climate model (RCM) to lateral boundary forcing (by different numerical weather prediction analysis products and by various temperature perturbations) and to the initial conditions is evaluated for a pan-Arctic domain. The Study focuses on seasonal simulations over the period of the Surface Heat Budget of the Arctic Ocean project from October 1997 to September 1998. Small perturbations in the initial and/or lateral boundary conditions can make the model diverge from driving large-scale fields, and the extent to which this Occurs depends on the control of the model by the lateral boundary forcing, not on the origin of the perturbation. The model response to a perturbation does not depend on the type of perturbation, and it is largely independent of the magnitude as well as of the source of the perturbation. Both small and large temperature perturbations have similar consequences for the monthly mean atmospheric patterns and the root mean square difference, but the model response depends on the season. Two regimes in the internal variability were found: (1) large variability in autumn/winter and (2) smaller variability in summer The pronounced magnitude of internal variability must be taken into account in discussing the significance of climate change and climate sensitivity signals in Arctic RCMs.
author2 UCL - SC/PHYS - Département de physique
format Article in Journal/Newspaper
author Rinke, A
Marbaix, Philippe
Dethloff, K
author_facet Rinke, A
Marbaix, Philippe
Dethloff, K
author_sort Rinke, A
title Internal variability in Arctic regional climate simulations: case study for the SHEBA year
title_short Internal variability in Arctic regional climate simulations: case study for the SHEBA year
title_full Internal variability in Arctic regional climate simulations: case study for the SHEBA year
title_fullStr Internal variability in Arctic regional climate simulations: case study for the SHEBA year
title_full_unstemmed Internal variability in Arctic regional climate simulations: case study for the SHEBA year
title_sort internal variability in arctic regional climate simulations: case study for the sheba year
publisher Inter-research
publishDate 2004
url http://hdl.handle.net/2078.1/39573
https://doi.org/10.3354/cr027197
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Climate change
Surface Heat Budget of the Arctic Ocean
genre_facet Arctic
Arctic Ocean
Climate change
Surface Heat Budget of the Arctic Ocean
op_source Climate Research, Vol. 27, no. 3, p. 197-209 (2004)
op_relation boreal:39573
http://hdl.handle.net/2078.1/39573
doi:10.3354/cr027197
urn:ISSN:0936-577X
urn:EISSN:1616-1572
op_doi https://doi.org/10.3354/cr027197
container_title Climate Research
container_volume 27
container_start_page 197
op_container_end_page 209
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