Early-winter North Atlantic low-level jet latitude biases in climate models: implications for simulated regional atmosphere-ocean linkages
Early-winter North Atlantic low-level jet latitude biases in climate models: implications for simulated regional atmosphere-ocean linkages
复制标题
气候模型中的初冬北大西洋低空急流纬度偏差:对模拟区域大气-海洋联系的影响
DOI:
10.1088/1748-9326/ac417f
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发表时间:
2021
影响因子:
6.7
通讯作者:
Bracegirdle T
中科院分区:
文献类型:
--
作者:
Bracegirdle T
Climate model biases in the North Atlantic (NA) low-level tropospheric westerly jet are a major impediment to reliably representing variability of the NA climate system and its wider influence, in particular over western Europe. A major aspect of the biases is the occurrence of a prominent early-winter equatorward jet bias in Coupled Model Inter-comparison Project Phase 5 (CMIP5) models that has implications for NA atmosphere-ocean coupling. Here we assess whether this bias is reduced in the new CMIP6 models and assess implications for model representation of NA atmosphere-ocean linkages, in particular over the sub-polar gyre (SPG) region. Historical simulations from the CMIP5 and CMIP6 model datasets were compared against reanalysis data over the period 1861–2005. The results show that the early-winter equatorward bias remains present in CMIP6 models, although with an approximately one-fifth reduction compared to CMIP5. The equatorward bias is mainly associated with a weaker-than-observed frequency of poleward excursions of the jet to its northern position. A potential explanation is provided through the identification of a strong link between NA jet latitude bias and systematically too-weak model-simulated low-level baroclinicity over eastern North America in early-winter. CMIP models with larger equatorward jet biases exhibit weaker correlations between temporal variability in speed of the jet and sea surface conditions (sea surface temperatures and turbulent heat fluxes) over the SPG. The results imply that the early-winter equatorward bias in jet latitude in CMIP models could partially explain other known biases, such as the weaker-than-observed seasonal-decadal predictability of the NA climate system.
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影响因子:
--
作者:
Liping Zhang;Chunzai Wang
通讯作者:
Liping Zhang;Chunzai Wang
影响因子:
4.6
作者:
Yeager, Stephen
通讯作者:
Yeager, Stephen
影响因子:
5.2
作者:
Fiedler, S.;Putrasahan, D.
通讯作者:
Putrasahan, D.
影响因子:
5.1
作者:
Eyring, Veronika;Bony, Sandrine;Taylor, Karl E.
通讯作者:
Taylor, Karl E.
影响因子:
64.8
作者:
D. Smith;Adam A. Scaife;R. Eade;P. Athanasiadis;A. Bellucci;I. Bethke;R. Bilbao;L. Borchert;L. Caron;F. Counillon;G. Danabasoglu;T. Delworth;F. Doblas-Reyes;N. Dunstone;V. Estella-Perez;S. Flavoni;L. Hermanson;N. Keenlyside;V. Kharin;M. Kimoto;W. Merryfield;J. Mignot;T. Mochizuki;K. Modali;P. Monerie;W. Müller;D. Nicolì;P. Ortega;K. Pankatz;H. Pohlmann;J. Robson;P. Ruggieri;R. Sospedra‐Alfonso;D. Swingedouw;Y. Wang;S. Wild;S. Yeager;X. Yang;L. Zhang
通讯作者:
D. Smith;Adam A. Scaife;R. Eade;P. Athanasiadis;A. Bellucci;I. Bethke;R. Bilbao;L. Borchert;L. Caron;F. Counillon;G. Danabasoglu;T. Delworth;F. Doblas-Reyes;N. Dunstone;V. Estella-Perez;S. Flavoni;L. Hermanson;N. Keenlyside;V. Kharin;M. Kimoto;W. Merryfield;J. Mignot;T. Mochizuki;K. Modali;P. Monerie;W. Müller;D. Nicolì;P. Ortega;K. Pankatz;H. Pohlmann;J. Robson;P. Ruggieri;R. Sospedra‐Alfonso;D. Swingedouw;Y. Wang;S. Wild;S. Yeager;X. Yang;L. Zhang