Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
Philos Trans A Math Phys Eng Sci. 2014 Jun 28;372(2018):20130283. doi: 10.1098/rsta.2013.0283.
The influence of a stochastic sea ice strength parametrization on the mean climate is investigated in a coupled atmosphere-sea ice-ocean model. The results are compared with an uncoupled simulation with a prescribed atmosphere. It is found that the stochastic sea ice parametrization causes an effective weakening of the sea ice. In the uncoupled model this leads to an Arctic sea ice volume increase of about 10-20% after an accumulation period of approximately 20-30 years. In the coupled model, no such increase is found. Rather, the stochastic perturbations lead to a spatial redistribution of the Arctic sea ice thickness field. A mechanism involving a slightly negative atmospheric feedback is proposed that can explain the different responses in the coupled and uncoupled system. Changes in integrated Antarctic sea ice quantities caused by the stochastic parametrization are generally small, as memory is lost during the melting season because of an almost complete loss of sea ice. However, stochastic sea ice perturbations affect regional sea ice characteristics in the Southern Hemisphere, both in the uncoupled and coupled model. Remote impacts of the stochastic sea ice parametrization on the mean climate of non-polar regions were found to be small.
在一个耦合的大气-海冰-海洋模型中,研究了随机海冰强度参数化对平均气候的影响。将结果与使用规定大气的非耦合模拟进行了比较。结果发现,随机海冰参数化导致海冰有效弱化。在非耦合模型中,这导致在大约 20-30 年的积累期后北极海冰体积增加约 10-20%。在耦合模型中,没有发现这种增加。相反,随机扰动导致北极海冰厚度场的空间再分布。提出了一种涉及大气负反馈的机制,可以解释耦合和非耦合系统的不同响应。随机参数化引起的南极海冰总量的变化通常很小,因为由于海冰几乎完全消失,在融化季节期间会失去记忆。然而,随机海冰扰动会影响南半球的区域海冰特征,无论是在非耦合还是耦合模型中。还发现随机海冰参数化对非极地地区平均气候的远程影响很小。