PostDoctoral Research Fellowship

博士后研究奖学金

• 批准号: 1103375
• 负责人: Daniel Goldberg
• 金额: $ 13.42万
• 依托单位: Goldberg Daniel N
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1103375&HistoricalAwards=false
• 关键词: PostDoctoral; Research; Fellowship

Goldberg/1103375This award supports a postdoctoral fellowship to develop a modeling strategy to help address one of the largest sources of uncertainty regarding future sea-level rise (SLR) over the next several centuries that of the contribution of the West Antarctic ice sheet (WAIS). Current ice sheet models are ill equipped to reduce this uncertainty because many of the determining factors of its flow are difficult or impossible to observe directly. In addition the influence of the internal state of the ice is not properly assessed and there is a need to characterize the uncertainty associated with the current state of WAIS, and to improve current data assimilation techniques. This post-doctoral researcher supported by this award will use a new large-scale thermo-mechanical ice model, capable of modeling WAIS and will incorporate an adjoint to the model using automatic differentiation techniques together with analytic methods. The adjoint will be used to answer questions regarding the relative influence of internal ice temperature and oceanic forcing on WAIS evolution, and to infer time-dependent basal behavior using satellite data (something not currently done). The host scientist will be Dr. Patrick Heimbach of MIT, whose pioneering work in the generation and use of adjoints in climate modeling will be invaluable. The intellectual merit of the proposed work is the advent of adjoints to time-dependent ice models, which promises improvements in data assimilation and in our understanding of ice sheet dynamics. The broader impact of the proposed work is quantification of the largest sources of uncertainty of future contributions of land ice to SLR, which could inform policy decisions and guide future fieldwork campaigns.

Goldberg/1103375这项奖项支持博士后研究金，以制定建模策略，以帮助解决未来几个世纪以来对未来海平面上升（SLR）的最大不确定性来源之一，而西南北极冰盖（WAIS）的贡献。 当前的冰盖模型不足以降低这种不确定性，因为其流量的许多决定因素都难以直接观察。 此外，没有正确评估冰的内部状态的影响，并且有必要表征与当前WIA相关的不确定性，并改善当前数据同化技术。 该奖项支持的博后研究人员将使用新的大型热机械冰模型，能够对WAI进行建模，并将使用自动分化技术与分析方法结合模型的伴随。伴随将用于回答有关内部冰温和海洋强迫对WAIS进化的相对影响的问题，并使用卫星数据推断时间依赖时间的基础行为（目前未完成）。 主持人的科学家将是麻省理工学院的帕特里克·海姆巴赫（Patrick Heimbach）博士，他在气候建模中的生成和使用中的开创性工作将是无价的。拟议工作的智力优点是伴随时间与时间相关的冰模型的出现，这有望改善数据同化以及我们对冰盖动态的理解。 拟议工作的更广泛的影响是量化土地对SLR的未来贡献的最大不确定性来源，这可以为政策决策提供依据，并指导未来的现场工作。