Transient simulations of the present and the last interglacial climate using the Community Climate System Model version 3: effects of orbital acceleration
Transient simulations of the present and the last interglacial climate using the Community Climate System Model version 3: effects of orbital acceleration
复制标题
使用社区气候系统模型版本 3 对当前和末次间冰期气候进行瞬态模拟：轨道加速的影响
DOI：
10.5194/gmd-9-3859-2016
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发表时间：
2016
影响因子：
5.1
通讯作者：
M. Schulz
中科院分区：
文献类型：
--
作者：
V. Varma;M. Prange;M. Schulz
摘要。数值模拟为研究过去的气候提供了相当大的帮助。在设计数值气候实验的各种方法中，当与代理数据进行比较时，发现瞬态模拟是最理想的。然而，使用全耦合环流模型进行数千年或更长时间的模拟在计算上非常昂贵，因此经常使用加速技术。本文利用CCSM3（群落气候系统模式3）综合耦合气候模式，比较了当前间冰期和末次间冰期在轨道强迫加速和不加速的情况下的瞬态模拟结果。我们的研究表明，在低纬度地区，使用加速技术（加速系数为10）对间冰期地表气候长期变化的模拟没有显著影响，因此，对地表变量的大规模模式数据比较不会受到阻碍。然而，在表层气候与深海有直接联系的高纬度地区，例如在南大洋或北欧海，加速引起的海表温度演变偏差可能会对上覆大气的动力学产生潜在影响。
Abstract. Numerical simulations provide a considerable aid in studying past climates. Out of the various approaches taken in designing numerical climate experiments, transient simulations have been found to be the most optimal when it comes to comparison with proxy data. However, multi-millennial or longer simulations using fully coupled general circulation models are computationally very expensive such that acceleration techniques are frequently applied. In this study, we compare the results from transient simulations of the present and the last interglacial with and without acceleration of the orbital forcing, using the comprehensive coupled climate model CCSM3 (Community Climate System Model version 3). Our study shows that in low-latitude regions, the simulation of long-term variations in interglacial surface climate is not significantly affected by the use of the acceleration technique (with an acceleration factor of 10) and hence, large-scale model–data comparison of surface variables is not hampered. However, in high-latitude regions where the surface climate has a direct connection to the deep ocean, e.g. in the Southern Ocean or the Nordic Seas, acceleration-induced biases in sea-surface temperature evolution may occur with potential influence on the dynamics of the overlying atmosphere.
影响因子：
4.6
作者：
Robin S. Smith;J. Gregory
通讯作者：
Robin S. Smith;J. Gregory