CAREER: Simulating, Understanding, and Quantifying Albedo Feedback

这项职业奖下的研究将阐明地表反照率反馈在气候变率和敏感性中的作用。将讨论以下悬而未决的问题(i)我们目前对冰雪反照率的了解对气候敏感性意味着什么？（ii）冰雪和海冰反照率反馈的行为是否不同？（iii）反照率反馈如何影响气候变化信号的地理和季节分布？（iv）模式是否需要反照率反馈来模拟观测到的气候变化信号分布？反照率反馈对内部变率的影响是什么？是否有可能根据观测到的气候变率记录提取反照率反馈对真实气候对未来外部强迫敏感性的贡献信息？PI将利用UCLA环流模式和社区气候系统模式（CCSM）进行一系列敏感性实验来回答上述问题。为了整合教育，PI将向土耳其安卡拉哈维穆德大学和Biklent大学的本科生介绍与气候变化实验相关的项目。在PI教授的研究生课程中，研究生将参与评估气候变化模拟。这项研究很重要，因为它将提高对气候变化问题重要过程的认识，并有助于培养未来的科学家。

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.