Collaborative Research: Linking sea ice and snow cover changes to Greenland mass balance through stratospheric and tropospheric pathways

格陵兰冰盖的融化已经是海平面上升的最大单一因素，而且融化速度正在加快。 与此同时，整个北极正在经历前所未有的变化，并创造新的记录，包括北极海冰覆盖面积的减少，北方积雪覆盖面积的减少和早期融雪的开始，以及全球变暖速度的两倍以上。 研究和理解北极不同组成部分（本研究中的格陵兰岛、积雪和海冰）之间的联系机制，以及它们的变化如何与大气层相关并由大气层驱动，对于捕捉驱动变化的物理过程至关重要。事实上，这是一个关键的方面，大大提高我们的技能，估计未来的北极演变在不同的变暖的情况下，并在预测未来的海平面上升。这项研究是量化之间的关系，海冰，积雪，大气环流变化和质量变化的格陵兰冰盖通过观测和建模工具相结合。其中包括对海冰覆盖和积雪范围的实地观测以及遥感产品和对大气环流变化的估计以及气候模型的输出。我们还使用人工智能（例如，神经网络）来研究气候、大气模式和格陵兰岛变化之间的关系。最终，这项研究正在测试一个假设，即与海冰和积雪覆盖范围变化相关的大气环流变化通过调节降雪和表面融化来控制格陵兰冰盖的质量平衡。这项研究还为北极和中纬度地区之间的联系以及海冰和积雪变化如何影响北极以外地区（包括美国）的天气模式提供了新的见解。该奖项反映了NSF的法定使命，并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，被认为值得支持。

Melting of the Greenland ice sheet is already the largest single contributor to sea level rise, and the rate of melt is accelerating. At the same time, the Arctic as a whole is experiencing unprecedented changes and setting new records, including the decline of Arctic sea ice cover, the decline and early snowmelt onset of Northern Hemisphere snow cover, and an overall warming at a rate more than double anywhere else on the planet. Studying and understanding the mechanisms linking the different Arctic components (Greenland, snow cover, and sea ice in the case of this research) and how, in turn, their changes are related to and driven by the atmosphere is fundamental to capture the physical processes driving the changes. This is, indeed, one of the key aspects to considerably improve our skills in estimating the future evolution of the Arctic under different warming scenarios and in projecting future sea level rise.This research is quantifying the relationships between sea ice, snow cover, atmospheric circulation changes and mass changes over the Greenland ice sheet through a combination of observational and modeling tools. These include in situ observations of sea ice cover and snow extent as well as remote sensing products and estimates of atmospheric circulation changes and outputs from climate models. We also use artificial intelligence (e.g., neural networks) to examine relationships between climate, atmospheric patterns and Greenland changes. Ultimately, this research is testing the hypothesis that atmospheric circulation changes associated with sea ice and snow cover extent variability control the mass balance of the Greenland ice sheet by modulating snowfall and surface melting. This research is also providing new insights on the linkages between the Arctic and mid-latitudes and how sea ice and snow cover changes might affect weather patterns outside the Arctic, including the United States.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.