Collaborative Research: Towards advanced understanding and improved decadal/centennial prediction of Arctic sea ice state and climate change

合作研究：深入了解和改进北极海冰状态和气候变化的十年/百年预测

• 批准号: 1107788
• 负责人: John Cassano
• 金额: $ 18.22万
• 依托单位: University of Colorado at Boulder
• 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: 2011-10-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1107788&HistoricalAwards=false
• 关键词: Collaborative; Research; Towards; advanced; understanding

The overarching goal of the project is to advance understanding of Arctic climate system operation and variability to improve model prediction of Arctic climate change at decadal to centennial scales. A set of specific objectives is proposed centered on the following main science hypothesis:Given the projections of continued global warming and its northern high-latitude amplification, the Arctic will become nearly ice-free during summer in the near future, resulting in altered physical state of and interconnections within the Arctic climate system.To confirm or disprove the above hypothesis, our approach is to use subsets of model components and fully coupled RACM to address the following specific objectives:- Identify potential improvements in the simulated sea ice thickness distribution and deformation due to increasing model resolution and representation of fine-scale ice-ocean interactions- Investigate effects of shrinking and thinning sea ice on ice kinematics and its consequences on changing air-ice and ice-ocean interactions- Examine and quantify consequences of melting sea ice on the increased upper ocean heat content and its potential for increased ice melt due to a positive ice-ocean feedback loop- Assess the influence of excess oceanic heat release, especially in fall and winter, on potentially enhancing cyclonic tendency in the atmosphere- Explore the importance of increased sea ice melt and runoff to the Arctic hydrological cycle and its acceleration in the context of first-year ice growth and survival- Integrate positive and negative feedback processes into model simulations of warming climate scenario to determine their net impact on the long-term state of Arctic ice cover- Identify physical and numerical requirements of future GCMs to significantly improve model skill in representing past and present and in predicting future Arctic climate change.A hierarchy of well designed one-way and fully coupled regional climate system model experiments will focus on the above objectives. Such experiments will provide advanced insight into the behavior of the Arctic climate system that is not currently attainable using either individual regional component models or GCMs. The proposed project helps to lay the foundation for a community regional Arctic System Model as recommended in the recently published report to NSF. This research will also address or facilitate other studies related to potential implications of Arctic sea ice melt and warming climate, including consequences for the global ocean thermohaline circulation, Greenland ice sheet, ecosystem, shipping, natural resource development, policymaking and defense. Output from the baseline simulations will be made available to the community through either the ARCSS Data Coordination Center or a Live Access Server at the Naval Postgraduate School, to be developed in support of this project.

该项目的总体目标是增进对北极气候系统运行和变化的了解，以改进对北极气候变化在十年至百年尺度上的模型预测。围绕以下主要科学假设提出了一套具体目标：鉴于全球持续变暖及其北部高纬度放大的预测，北极在不久的将来将在夏季变得近乎无冰，导致北极气候系统的物理状态和内部联系发生变化。为了证实或反驳上述假设，我们的方法是使用模式组件的子集和完全耦合的RACM来解决以下具体目标：-确定由于提高模式分辨率和表示精细的冰-海洋相互作用而在模拟的海冰厚度分布和变形方面的潜在改善-调查海冰缩小和变薄对冰运动的影响及其对改变空气-冰和冰-海洋相互作用的后果-检查和量化海冰融化对上层海洋热含量增加的后果以及由于冰-海洋正反馈环路而增加的冰融化的可能性--评估过度海洋热释放的影响，特别是在秋季和冬季，在潜在增强大气气旋趋势方面--在第一年冰的生长和生存的背景下，探索海冰融化和径流增加对北极水文循环及其加速的重要性--将正反馈过程和负反馈过程整合到气候变暖情景的模式模拟中，以确定它们对北极冰盖长期状态的净影响--确定未来全球气候模式的物理和数值要求，以显著提高模式技能，以描述过去和现在以及预测未来北极气候变化。一系列设计良好的单向和完全耦合的区域气候系统模式实验将集中于上述目标。这些实验将提供对北极气候系统行为的高级洞察，这是目前无论是使用单独的区域组成部分模型还是GCM都无法获得的。拟议的项目有助于为最近向国家科学基金会发表的报告中建议的共同体区域北极系统模型奠定基础。这项研究还将涉及或促进与北冰洋海冰融化和气候变暖的潜在影响有关的其他研究，包括对全球海洋温盐循环、格陵兰冰盖、生态系统、航运、自然资源开发、决策和防御的影响。基线模拟的输出将通过ARCS数据协调中心或海军研究生院的实时访问服务器提供给社区，该服务器将为支持该项目而开发。