节点文献

Estimating sea ice albedo feedback in a regional climate modeling sensitivity experiment

免费订阅

【作者】 LIAN YuLI YaosunCAI Lei

【Author】 LIAN Yu;LI Yaosun;CAI Lei;Yunnan Meteorological Observatory;International Arctic Research Center, University of Alaska Fairbanks;

【机构】 Yunnan Meteorological ObservatoryInternational Arctic Research Center, University of Alaska Fairbanks

【摘要】 Surface albedo feedback(SAF), or sea ice albedo feedback over the Arctic Ocean, has an important effect on the Arctic climate, even though it is not the leading contributor to polar amplification. Previous model-based studies on SAF have primarily used global climate models to exploit their global coverage and favorable configurations. This study verified the capability of using regional climate models(RCMs) to investigate SAF by designing a sensitivity experiment in terms of sea ice coverage. This study modeled two control cases of the years 1980 and 2012, as well as two sensitivity cases performed by switching the sea ice coverages in the control cases. The results proved the Weather Research and Forecast model capable of separating and quantifying the respective contributions of the atmosphere and the surface albedo to the surface radiation budget. Supported by the ALL/CLR model, the balanced surface shortwave radiation absorption was used to calculate SAF. The experiments overestimated SAF, largely because of the canceled cloud effect during model initialization. This study highlights a new possibility of designing experiments for studying climatic sensitivity and feedback using RCMs.

【所属期刊栏目】 Article (2016年04期)
  • 【DOI】10.13679/j.advps.2016.4.00264
  • 【分类号】P435;P461.2
  • 【下载频次】2
节点文献中: 

本文链接的文献网络图示:

浏览历史:
下载历史: