Resolving and Parameterising the Ocean Mesoscale in Earth System Models (vol 6, pg 137, 2020)

被引：0

作者：

Hewitt, Helene T. ^{[1
]}

Roberts, Malcolm ^{[1
]}

Mathiot, Pierre ^{[1
]}

Biastoch, Arne ^{[2
]}

Blockley, Ed ^{[1
]}

Chassignet, Eric P. ^{[3
]}

Fox-Kemper, Baylor ^{[4
]}

Hyder, Pat ^{[1
]}

Marshall, David P. ^{[5
]}

Popova, Ekaterina ^{[6
]}

Treguier, Anne-Marie ^{[7
]}

Zanna, Laure ^{[8
]}

Yool, Andrew ^{[6
]}

Yu, Yongqiang ^{[9
,10
]}

Beadling, Rebecca ^{[11
]}

Bell, Mike

Kuhlbrodt, Till ^{[12
]}

Arsouze, Thomas ^{[13
]}

Bellucci, Alessio ^{[14
]}

Castruccio, Fred ^{[15
,16
]}

Gan, Bolan ^{[16
,17
]}

Putrasahan, Dian ^{[18
]}

Roberts, Christopher D. ^{[19
]}

Van Roekel, Luke ^{[16
,20
]}

Zhang, Qiuying ^{[21
]}

机构：

[1] Met Off Hadley Ctr, FitzRoy Rd, Exeter, Devon, England

[2] Univ Kiel, GEOMAR Helmholtz Ctr Ocean Res Kiel, Kiel, Germany

[3] Florida State Univ, Ctr Ocean Atmospher Predict Studies, Tallahassee, FL 32306 USA

[4] Brown Univ, Earth Environm & Planetary Sci, Providence, RI 02912 USA

[5] Univ Oxford, Dept Phys, Oxford, England

[6] Natl Oceanog Ctr, Southampton, Hants, England

[7] Univ Brest, Lab Oceanog Phys & Spatiale LOPS, IUEM, CNRS,IRD,IFREMER, Brest, France

[8] NYU, Courant Inst, New York, NY USA

[9] Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 10029, Peoples R China

[10] Univ Chinese Acad Sci, Beijing 100039, Peoples R China

[11] Univ Arizona, Dept Geosci, Tucson, AZ 85721 USA

[12] Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Reading, Berks, England

[13] Ctr Nacl Supercomputac BSC, Barcelona Supercomp Ctr, Barcelona, Spain

[14] Fdn Ctr Euromediterraneo Cambiamenti Climatici CM, Bologna, Italy

[15] Natl Ctr Atmospher Res NCAR, Boulder, CO USA

[16] Int Lab High Resolut Earth Syst Predict iHESP, College Stn, TX USA

[17] Qingdao Natl Lab Marine Sci QNLM, Qingdao, Peoples R China

[18] Max Planck Inst Meteorol, Hamburg, Germany

[19] European Ctr Medium Range Weather Forecasts ECMWF, Reading, Berks, England

[20] Los Alamos Natl Lab, T3 Solid Mech & Fluid Dynam, Los Alamos, NM USA

[21] Texas A&M Univ TAMU, College Stn, TX USA

来源：

CURRENT CLIMATE CHANGE REPORTS | 2020年 / 6卷 / 04期

关键词：

Mesoscale; Ocean models; Parameterisation; Resolution; Submesoscale;

D O I：

10.1007/s40641-020-00167-7

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Purpose of Review: Assessment of the impact of ocean resolution in Earth System models on the mean state, variability, and future projections and discussion of prospects for improved parameterisations to represent the ocean mesoscale. Recent Findings: The majority of centres participating in CMIP6 employ ocean components with resolutions of about 1 degree in their full Earth System models (eddy-parameterising models). In contrast, there are also models submitted to CMIP6 (both DECK and HighResMIP) that employ ocean components of approximately 1/4 degree and 1/10 degree (eddy-present and eddy-rich models). Evidence to date suggests that whether the ocean mesoscale is explicitly represented or parameterised affects not only the mean state of the ocean but also the climate variability and the future climate response, particularly in terms of the Atlantic meridional overturning circulation (AMOC) and the Southern Ocean. Recent developments in scale-aware parameterisations of the mesoscale are being developed and will be included in future Earth System models. Summary: Although the choice of ocean resolution in Earth System models will always be limited by computational considerations, for the foreseeable future, this choice is likely to affect projections of climate variability and change as well as other aspects of the Earth System. Future Earth System models will be able to choose increased ocean resolution and/or improved parameterisation of processes to capture physical processes with greater fidelity. © 2020, The Author(s).

引用

页码：153 / 154

页数：2