P2C2: Impact of Coupled Climate-Ice Sheet Processes on Past and Future Sea Level Trajectories

本项目由一位早期职业科学家完成，旨在利用地球模拟系统（气候冰盖模拟，CLIMS）研究耦合的气候-南极和北方半球冰盖对外部强迫（例如轨道）的响应。数值模拟将用于研究温室气体强迫和轨道配置的变化如何解释过去四个冰川周期（80万年）轨道时间尺度上的气候和冰盖变化。模式结果将与冰芯气候重建进行比较，以帮助更深入地了解：1）潜在的过程和北方半球/南极冰盖/气候系统对外部强迫的敏感性; 2）两个半球气候和冰盖耦合的机制。潜在的更广泛影响包括更好地了解气候与冰盖之间耦合的潜在过程，包括全球和区域尺度（例如夏威夷、美国大陆）的冰盖退缩和海平面变化。该项目将产生三维耦合气候/冰盖模拟和过去80万年的古数据/模型比较。该项目有可能阐明南极和北方冰盖的稳定性及其对晚第四纪海平面和气候变化的贡献。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

This project by an early career scientist aims to study the coupled climate-Antarctic and Northern Hemisphere ice sheet response to external forcing (e.g. orbital) by utilizing an earth modeling system (climate ice sheet modeling, CLIMS). The numerical simulations will be used to investigate how variations in greenhouse gas forcing and orbital configurations explain climate and ice sheet variability on orbital time scales over the last four glacial cycles (800, 000 years). Model results will be compared with ice core climate reconstructions to help provide a deeper insight into: 1) the underlying processes and the sensitivity of the Northern Hemisphere/Antarctic ice sheet/climate system to external forcings; and 2) the mechanisms that couple climate and ice sheets in both hemispheres. The potential Broader Impacts include a greater understanding of the processes underlying the coupling between climate and ice sheets, comprising ice sheet retreat and sea level variations at global and regional scales (e.g. Hawaii, the US mainland). The project will generate 3-dimensional coupled climate/ice sheet simulations and a paleo-data/model comparison for the last 800,000 years. The project has the potential to elucidate processes governing the stability of the Antarctic and Northern Hemispheric ice sheets and their contributions to sea-level and climate variability during the Late Quaternary.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.