CAREER: Simulating, Understanding, and Quantifying Albedo Feedback

这项CAREER奖下的研究将阐明地表反射反馈在气候变率和敏感性中的作用。以下悬而未决的问题将得到解决（一）我们目前的知识雪和冰的冰川暗示气候敏感性？(ii)雪和海冰的反馈行为是否不同？(iii)气候反馈如何影响气候变化信号的地理和季节分布？(iv)模型是否需要非线性反馈来模拟观测到的气候变化信号的分布？(v)反馈对内部可变性有什么影响？(vi)根据观测到的气候变率记录，是否有可能提取关于对真实的气候对未来外部强迫敏感性的负反馈贡献的信息？PI将使用UCLA大气环流模式和社区气候系统模式（CCSM）进行一系列敏感性实验，以回答上述问题。为了教育的一体化，PI将向土耳其安卡拉的Harvey Mudd和Biklent大学的本科生介绍与气候变化实验有关的项目。研究生将参与评估气候变化模拟研究生课程PI将教。这项研究很重要，因为它将提高对气候变化问题重要的过程的认识，并将有助于教育未来的科学家。

Research under this CAREER award will elucidate the role of surface albedo feedback in climate variability and sensitivity. The following outstanding issues will be addressed (i) What does our current knowledge of snow and ice albedo imply about climate sensitivity? (ii) Do snow and sea ice albedo feedback behave differently? (iii) How does albedo feedback impact the geographical and seasonal distribution of the climate change signal? (iv) Do models need albedo feedback to simulate the observed distribution of the climate change signal? (v) What is the impact of albedo feedback on internal variability? (vi) Is it possible to extract information about albedo feedback contribution to the real climate's sensitivity to a future external forcing based on the observed record of climate variability? The PI will perform a series of sensitivity experiments with the UCLA General Circulation Mode and Community Climate System Model (CCSM) to answer the above questions. For the integration of education, the PI will introduce undergraduate students at Harvey Mudd and Biklent Univ. Ankara Turkey, to projects related to the climate change experiments. Graduate students will be involved in evaluating the climate change simulations in a graduate course the PI will be teaching. This research is important because it will improve knowledge about processes important to issues of climate change and will help educate future scientists.