GISS-E2.1: Configurations and Climatology.
GISS-E2.1: Configurations and Climatology.
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DOI：
10.1029/2019ms002025
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发表时间：
2020-08
影响因子：
6.8
通讯作者：
Yao MS
中科院分区：
文献类型：
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作者：
Kelley M;Schmidt GA;Nazarenko LS;Bauer SE;Ruedy R;Russell GL;Ackerman AS;Aleinov I;Bauer M;Bleck R;Canuto V;Cesana G;Cheng Y;Clune TL;Cook BI;Cruz CA;Del Genio AD;Elsaesser GS;Faluvegi G;Kiang NY;Kim D;Lacis AA;Leboissetier A;LeGrande AN;Lo KK;Marshall J;Matthews EE;McDermid S;Mezuman K;Miller RL;Murray LT;Oinas V;Orbe C;García-Pando CP;Perlwitz JP;Puma MJ;Rind D;Romanou A;Shindell DT;Sun S;Tausnev N;Tsigaridis K;Tselioudis G;Weng E;Wu J;Yao MS
本文介绍了GISS-E2. 1对耦合模式相互比较项目第6阶段（CMIP 6）的贡献。该模式版本与先前的模式（GISS-E2）不同，主要是由于对大气和海洋模式组件的参数化改进，同时保持大气分辨率相同。与现代气候学相比，模型技能明显高于以前的版本。此外，力的更新对结果有重大影响。特别是，在变率模态（如马登-朱利安振荡和太平洋的其他模态）的表示方面有了具体的改进，在模拟南大洋气候（包括海冰）方面有了重大改进。2的有效气候敏感性略高于以前的2.7-3.1°C（取决于版本），这是较低的CO辐射强迫和较强的正反馈的结果。GISS-E2. 1是CMIP 6项目中使用的最新气候模式版本。所有模式版本中计算的大气成分一致。结果表明，在不改变大气分辨率的情况下，气候模式的技能有了显著提高。
This paper describes the GISS‐E2.1 contribution to the Coupled Model Intercomparison Project, Phase 6 (CMIP6). This model version differs from the predecessor model (GISS‐E2) chiefly due to parameterization improvements to the atmospheric and ocean model components, while keeping atmospheric resolution the same. Model skill when compared to modern era climatologies is significantly higher than in previous versions. Additionally, updates in forcings have a material impact on the results. In particular, there have been specific improvements in representations of modes of variability (such as the Madden‐Julian Oscillation and other modes in the Pacific) and significant improvements in the simulation of the climate of the Southern Oceans, including sea ice. The effective climate sensitivity to 2 is slightly higher than previously at 2.7–3.1°C (depending on version) and is a result of lower CO radiative forcing and stronger positive feedbacks. GISS‐E2.1 is an updated climate model version for use within the CMIP6 project Atmospheric composition is calculated consistently in all model versions Results demonstrate a significant improvement in skill in a climate model without changes to atmospheric resolution