...
首页> 外文期刊>Environmental Research Letters >Will surface winds weaken in response to global warming?
【24h】

Will surface winds weaken in response to global warming?

机译:地表风会因全球变暖而减弱吗?

获取原文
           

摘要

The surface Walker and tropical tropospheric circulations have been inferred to slow down from historical observations and model projections, yet analysis of large-scale surface wind predictions is lacking. Satellite measurements of surface wind speed indicate strengthening trends averaged over the global and tropical oceans that are supported by precipitation and evaporation changes. Here we use corrected anemometer-based observations to show that the surface wind speed has not decreased in the averaged tropical oceans, despite its reduction in the region of the Walker circulation. Historical simulations and future projections for climate change also suggest a near-zero wind speed trend averaged in space, regardless of the Walker cell change. In the tropics, the sea surface temperature pattern effect acts against the large-scale circulation slow-down. For higher latitudes, the surface winds shift poleward along with the eddy-driven mid-latitude westerlies, resulting in a very small contribution to the global change in surface wind speed. Despite its importance for surface wind speed change, the influence of the SST pattern change on global-mean rainfall is insignificant since it cannot substantially alter the global energy balance. As a result, the precipitation response to global warming remains 'muted' relative to atmospheric moisture increase. Our results therefore show consistency between projections and observations of surface winds and precipitation.
机译:从历史观测和模型预测可以推断出地表沃克和热带对流层环流的速度减慢,但缺乏对大型地表风预测的分析。卫星对地表风速的测量表明,在降水和蒸发变化的支持下,全球和热带海洋平均加强趋势。在这里,我们使用基于风速计的校正后的观测结果来表明,尽管在Walker环流区域有所减少,但平均热带海洋中的表面风速并未降低。历史模拟和对气候变化的未来预测也表明,无论沃克细胞的变化如何,空间平均风速趋势几乎为零。在热带地区,海面温度模式效应会影响大规模的环流减速。对于较高的纬度,地表风与涡流驱动的中纬度西风一起向极极移动,从而对地表风速的全球变化贡献很小。尽管SST模式变化对地表风速变化很重要,但它对全球平均降水量的影响微不足道,因为它不能显着改变全球能源平衡。结果,相对于大气湿度的增加,降水对全球变暖的响应保持“突变”。因此,我们的结果显示了地面风和降水的预测与观测之间的一致性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号