North Atlantic climate model bias influence on multiyear predictability
The influences of North Atlantic biases on multiyear predictability of unforced surface air temperature (SAT) variability are examined in the Kiel Climate Model (KCM). By employing a freshwater flux correction over the North Atlantic to the model, which strongly alleviates both North Atlantic sea su...
Published in: | Earth and Planetary Science Letters |
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ftoceanrep:oai:oceanrep.geomar.de:40275 2023-05-15T17:25:30+02:00 North Atlantic climate model bias influence on multiyear predictability Wu, Yanling Park, Taewook Park, Wonsun Latif, Mojib 2018-01-01 text https://oceanrep.geomar.de/id/eprint/40275/ https://oceanrep.geomar.de/id/eprint/40275/1/1-s2.0-S0012821X1730571X-main.pdf https://oceanrep.geomar.de/id/eprint/40275/2/1-s2.0-S0012821X1730571X-mmc1.doc https://doi.org/10.1016/j.epsl.2017.10.012 en eng Elsevier https://oceanrep.geomar.de/id/eprint/40275/1/1-s2.0-S0012821X1730571X-main.pdf https://oceanrep.geomar.de/id/eprint/40275/2/1-s2.0-S0012821X1730571X-mmc1.doc Wu, Y., Park, T., Park, W. and Latif, M. (2018) North Atlantic climate model bias influence on multiyear predictability. Earth and Planetary Science Letters, 481 . pp. 171-176. DOI 10.1016/j.epsl.2017.10.012 <https://doi.org/10.1016/j.epsl.2017.10.012>. doi:10.1016/j.epsl.2017.10.012 info:eu-repo/semantics/restrictedAccess Article PeerReviewed 2018 ftoceanrep https://doi.org/10.1016/j.epsl.2017.10.012 2023-04-07T15:36:32Z The influences of North Atlantic biases on multiyear predictability of unforced surface air temperature (SAT) variability are examined in the Kiel Climate Model (KCM). By employing a freshwater flux correction over the North Atlantic to the model, which strongly alleviates both North Atlantic sea surface salinity (SSS) and sea surface temperature (SST) biases, the freshwater flux-corrected integration depicts significantly enhanced multiyear SAT predictability in the North Atlantic sector in comparison to the uncorrected one. The enhanced SAT predictability in the corrected integration is due to a stronger and more variable Atlantic Meridional Overturning Circulation (AMOC) and its enhanced influence on North Atlantic SST. Results obtained from preindustrial control integrations of models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) support the findings obtained from the KCM: models with large North Atlantic biases tend to have a weak AMOC influence on SAT and exhibit a smaller SAT predictability over the North Atlantic sector. Article in Journal/Newspaper North Atlantic OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Earth and Planetary Science Letters 481 171 176 |
institution |
Open Polar |
collection |
OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
op_collection_id |
ftoceanrep |
language |
English |
description |
The influences of North Atlantic biases on multiyear predictability of unforced surface air temperature (SAT) variability are examined in the Kiel Climate Model (KCM). By employing a freshwater flux correction over the North Atlantic to the model, which strongly alleviates both North Atlantic sea surface salinity (SSS) and sea surface temperature (SST) biases, the freshwater flux-corrected integration depicts significantly enhanced multiyear SAT predictability in the North Atlantic sector in comparison to the uncorrected one. The enhanced SAT predictability in the corrected integration is due to a stronger and more variable Atlantic Meridional Overturning Circulation (AMOC) and its enhanced influence on North Atlantic SST. Results obtained from preindustrial control integrations of models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) support the findings obtained from the KCM: models with large North Atlantic biases tend to have a weak AMOC influence on SAT and exhibit a smaller SAT predictability over the North Atlantic sector. |
format |
Article in Journal/Newspaper |
author |
Wu, Yanling Park, Taewook Park, Wonsun Latif, Mojib |
spellingShingle |
Wu, Yanling Park, Taewook Park, Wonsun Latif, Mojib North Atlantic climate model bias influence on multiyear predictability |
author_facet |
Wu, Yanling Park, Taewook Park, Wonsun Latif, Mojib |
author_sort |
Wu, Yanling |
title |
North Atlantic climate model bias influence on multiyear predictability |
title_short |
North Atlantic climate model bias influence on multiyear predictability |
title_full |
North Atlantic climate model bias influence on multiyear predictability |
title_fullStr |
North Atlantic climate model bias influence on multiyear predictability |
title_full_unstemmed |
North Atlantic climate model bias influence on multiyear predictability |
title_sort |
north atlantic climate model bias influence on multiyear predictability |
publisher |
Elsevier |
publishDate |
2018 |
url |
https://oceanrep.geomar.de/id/eprint/40275/ https://oceanrep.geomar.de/id/eprint/40275/1/1-s2.0-S0012821X1730571X-main.pdf https://oceanrep.geomar.de/id/eprint/40275/2/1-s2.0-S0012821X1730571X-mmc1.doc https://doi.org/10.1016/j.epsl.2017.10.012 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://oceanrep.geomar.de/id/eprint/40275/1/1-s2.0-S0012821X1730571X-main.pdf https://oceanrep.geomar.de/id/eprint/40275/2/1-s2.0-S0012821X1730571X-mmc1.doc Wu, Y., Park, T., Park, W. and Latif, M. (2018) North Atlantic climate model bias influence on multiyear predictability. Earth and Planetary Science Letters, 481 . pp. 171-176. DOI 10.1016/j.epsl.2017.10.012 <https://doi.org/10.1016/j.epsl.2017.10.012>. doi:10.1016/j.epsl.2017.10.012 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1016/j.epsl.2017.10.012 |
container_title |
Earth and Planetary Science Letters |
container_volume |
481 |
container_start_page |
171 |
op_container_end_page |
176 |
_version_ |
1766116950476324864 |