FIO-ESM 2.1 版说明及其海冰模拟评估

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Qi Shu , Fangli Qiao , Jiping Liu , Ying Bao , Zhenya Song
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引用次数: 0

摘要

为了改进第一海洋研究所地球系统模式(FIO-ESM)对北极海冰的模拟,该模式的版本已从 FIO-ESM v2.0 升级到 FIO-ESM v2.1,将其海冰部分从洛斯阿拉莫斯海冰模式(CICE)4.0 版(CICE4.0)升级到 CICE6.0,并将冰-海热交换过程从两方程边界条件参数化改进为更现实的三方程边界条件参数化。数值实验表明,FIO-ESM v2.0 对北极夏季海冰范围(SIE)的低估在模式改进后得到了显著改善。1979-2014 年期间模拟的北极九月海冰面积的均方根误差从 290 万平方公里减少到 70 万平方公里。然而,模型版本更新后,南极 SIE 的偏差增加了。FIO-ESM v2.1 在模拟地表气温、海面温度、大西洋经向翻转环流和北极海冰范围方面表现良好;但是,它高估了南极夏季 SIE。此外,基于 FIO-ESM v2.1 的未来预测表明,在 SSP2-4.5 和 SSP5-8.5 条件下,北极夏季首次无冰将分别出现在 2050 年代和 2040 年代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Description of FIO-ESM version 2.1 and evaluation of its sea ice simulations

To improve Arctic sea ice simulations by the First Institute of Oceanography–Earth System Model (FIO–ESM), the model version has been updated from FIO–ESM v2.0 to FIO–ESM v2.1 by upgrading its sea ice component from Los Alamos Sea–Ice Model (CICE) version 4.0 (CICE4.0) to CICE6.0, and improving the ice–ocean heat exchange process from a two–equation boundary condition parameterization to a more realistic three–equation boundary condition parameterization. Numerical experiments show that the underestimation of Arctic summer sea ice extent (SIE) in FIO–ESM v2.0 is significantly improved by the model enhancements. The root mean square error of the simulated Arctic September SIE during 1979–2014 is reduced from 2.9 million to 0.7 million km2. Nevertheless, the biases of Antarctic SIE increase following the model version update. FIO–ESM v2.1 performs well for the simulations of surface air temperature, sea surface temperature, Atlantic Meridional Overturning Circulation, and Arctic SIE; however, it overestimates summer SIE in the Antarctic. Furthermore, future projections based on FIO–ESM v2.1 indicate that the first ice–free Arctic summer will occur in the 2050s and the 2040s under SSP2–4.5 and SSP5–8.5, respectively.

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来源期刊
Ocean Modelling
Ocean Modelling 地学-海洋学
CiteScore
5.50
自引率
9.40%
发文量
86
审稿时长
19.6 weeks
期刊介绍: The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.
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