Estimating the Decadal Predictability of a Coupled AOGCM.

On seasonal time scales, ENSO prediction has become feasible in an operational framework in recent years. On decadal to multidecadal time scales, the variability of the oceanic circulation is assumed to provide a potential for climate prediction. To investigate the decadal predictability of the coup...

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Published in:Journal of Climate
Main Authors: Pohlmann, H., Botzet, M., Latif, Mojib, Roesch, A., Wild, M., Tschuck, P.
Format: Article in Journal/Newspaper
Language:English
Published: AMS (American Meteorological Society) 2004
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/1616/
https://oceanrep.geomar.de/id/eprint/1616/1/3209.pdf
https://doi.org/10.1175/3209.1
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spelling ftoceanrep:oai:oceanrep.geomar.de:1616 2024-09-30T14:38:59+00:00 Estimating the Decadal Predictability of a Coupled AOGCM. Pohlmann, H. Botzet, M. Latif, Mojib Roesch, A. Wild, M. Tschuck, P. 2004 text https://oceanrep.geomar.de/id/eprint/1616/ https://oceanrep.geomar.de/id/eprint/1616/1/3209.pdf https://doi.org/10.1175/3209.1 en eng AMS (American Meteorological Society) https://oceanrep.geomar.de/id/eprint/1616/1/3209.pdf Pohlmann, H., Botzet, M., Latif, M. , Roesch, A., Wild, M. and Tschuck, P. (2004) Estimating the Decadal Predictability of a Coupled AOGCM. Open Access Journal of Climate, 17 (22). pp. 4463-4472. DOI 10.1175/3209.1 <https://doi.org/10.1175/3209.1>. doi:10.1175/3209.1 info:eu-repo/semantics/openAccess Article PeerReviewed 2004 ftoceanrep https://doi.org/10.1175/3209.1 2024-09-04T05:04:40Z On seasonal time scales, ENSO prediction has become feasible in an operational framework in recent years. On decadal to multidecadal time scales, the variability of the oceanic circulation is assumed to provide a potential for climate prediction. To investigate the decadal predictability of the coupled atmosphere–ocean general circulation model (AOGCM) European Centre-Hamburg model version 5/Max Planck Institute Ocean Model (ECHAM5/MPI-OM), a 500-yr-long control integration and “perfect model” predictability experiments are analyzed. The results show that the sea surface temperatures (SSTs) of the North Atlantic, Nordic Seas, and Southern Ocean exhibit predictability on multidecadal time scales. Over the ocean, the predictability of surface air temperature (SAT) is very similar to that of SST. Over land, there is little evidence of decadal predictability of SAT except for some small maritime-influenced regions of Europe. The AOGCM produces predictable signals in lower-tropospheric temperature and precipitation over the North Atlantic, but not in sea level pressure. Article in Journal/Newspaper Nordic Seas North Atlantic Southern Ocean OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Southern Ocean Journal of Climate 17 22 4463 4472
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language English
description On seasonal time scales, ENSO prediction has become feasible in an operational framework in recent years. On decadal to multidecadal time scales, the variability of the oceanic circulation is assumed to provide a potential for climate prediction. To investigate the decadal predictability of the coupled atmosphere–ocean general circulation model (AOGCM) European Centre-Hamburg model version 5/Max Planck Institute Ocean Model (ECHAM5/MPI-OM), a 500-yr-long control integration and “perfect model” predictability experiments are analyzed. The results show that the sea surface temperatures (SSTs) of the North Atlantic, Nordic Seas, and Southern Ocean exhibit predictability on multidecadal time scales. Over the ocean, the predictability of surface air temperature (SAT) is very similar to that of SST. Over land, there is little evidence of decadal predictability of SAT except for some small maritime-influenced regions of Europe. The AOGCM produces predictable signals in lower-tropospheric temperature and precipitation over the North Atlantic, but not in sea level pressure.
format Article in Journal/Newspaper
author Pohlmann, H.
Botzet, M.
Latif, Mojib
Roesch, A.
Wild, M.
Tschuck, P.
spellingShingle Pohlmann, H.
Botzet, M.
Latif, Mojib
Roesch, A.
Wild, M.
Tschuck, P.
Estimating the Decadal Predictability of a Coupled AOGCM.
author_facet Pohlmann, H.
Botzet, M.
Latif, Mojib
Roesch, A.
Wild, M.
Tschuck, P.
author_sort Pohlmann, H.
title Estimating the Decadal Predictability of a Coupled AOGCM.
title_short Estimating the Decadal Predictability of a Coupled AOGCM.
title_full Estimating the Decadal Predictability of a Coupled AOGCM.
title_fullStr Estimating the Decadal Predictability of a Coupled AOGCM.
title_full_unstemmed Estimating the Decadal Predictability of a Coupled AOGCM.
title_sort estimating the decadal predictability of a coupled aogcm.
publisher AMS (American Meteorological Society)
publishDate 2004
url https://oceanrep.geomar.de/id/eprint/1616/
https://oceanrep.geomar.de/id/eprint/1616/1/3209.pdf
https://doi.org/10.1175/3209.1
geographic Southern Ocean
geographic_facet Southern Ocean
genre Nordic Seas
North Atlantic
Southern Ocean
genre_facet Nordic Seas
North Atlantic
Southern Ocean
op_relation https://oceanrep.geomar.de/id/eprint/1616/1/3209.pdf
Pohlmann, H., Botzet, M., Latif, M. , Roesch, A., Wild, M. and Tschuck, P. (2004) Estimating the Decadal Predictability of a Coupled AOGCM. Open Access Journal of Climate, 17 (22). pp. 4463-4472. DOI 10.1175/3209.1 <https://doi.org/10.1175/3209.1>.
doi:10.1175/3209.1
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1175/3209.1
container_title Journal of Climate
container_volume 17
container_issue 22
container_start_page 4463
op_container_end_page 4472
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