Collaborative Research: Forum for Arctic Modeling and Observational Synthesis (FAMOS)--Phase 2: Focus on High and Very High Resolution

该奖项旨在支持美国领导的国际论坛，以交流有关北冰洋的想法，建模技能和知识。其目标是提高我们对海洋和海冰过程以及驱动北冰洋变化的机制的理解。虽然其未来的重点将在很大程度上取决于参与者的决定，因为他们的研究发展，有三个广泛的领域，现在确定的利益：发展和分析的建模和观测在高和非常高的空间和时间分辨率，确定的不确定性和错误的模型，并建议改进现有的模型。国际社会对北冰洋变异性的调查采取协调一致的办法，是评估不同建模者、科学团体或机构所作结果和结论的不确定性的最佳途径。此外，它还确保利用世界其他地区的研究人才和支出。该项目的结果将产生更广泛的影响，将是一个综合，将观测和建模工作整合到开发先进的北极模型的总体目标，能够准确地模拟过去，描述现在，并预测未来的北极条件。该活动最大的广泛影响之一是教育，因为该论坛专门针对参与该项目的年轻科学家的发展，为现有模型的批判性分析提供指导方针，并由新一代北极模型制作者对北极模型进行富有成效的改进和开发。该奖项的目的是采用高分辨率和极高分辨率模式和观测，以研究次网格过程在北极海洋区域海洋和海冰模式中的作用。该项目的重点将是针对重要的科学问题，加强北极海洋建模者，理论家和观测者之间的合作和协调。这项工作将通过电话会议、虚拟研讨会、时事通讯和为年轻和发展中的北极研究人员举办的为期一天的学校年会来管理。该项目将通过以下方式支持北极整套模型和观测的综合：㈡为新的调查人员举办科学会议和学校，包括虚拟电话会议;（三）组建由建模师、理论家和观察家组成的团队，研究北极海冰以及海洋动力学和热力学等热点问题; ㈣与侧重于北极/全球气候其他方面（大气、陆地、冰冻圈）的其他类似项目开展合作; ㈤向更广泛的社区传播研究结果; ㈥培训新一代海洋和海冰观测员和建模员。最重要的贡献可能是国际协调发展和分析高分辨率和极高分辨率的建模和观测的结果;查明不确定性和误差以及这些误差和模型差异的原因，并建议通过采用新的北极过程物理学来改进现有的区域冰-海耦合模型和全球气候模型。

This award is to support a US-led international forum for the exchange of ideas, modeling skill and knowledge on the Arctic Ocean. The goal is to improve our understanding of oceanic and sea-ice processes and mechanisms driving Arctic Ocean changes. Although its future focus will depend to a large degree on the decisions of the participants as their research develops, there are three broad areas of interest now identified: the development and analysis of modeling and observing at high and very high spatial and temporal resolution, identification of uncertainties and errors in models, and recommendations for improvements of existing models. A coordinated international community approach to the investigation of Arctic Ocean variability is the best way to assess uncertainty in results and conclusions made by different modelers, scientific groups, or institutions. Moreover, it ensures leveraging of research talent and expenditures in other parts of the world. The results of this project that will have broader impacts will be is a synthesis that integrates observational and modeling efforts toward the overall goal of developing advanced Arctic models able to accurately simulate the past, describe the present, and predict future Arctic conditions. One of the largest broader impacts of the activity is educational, because the forum specifically targets the development of young scientists participating in the project, provides guidelines for critical analysis of the existing models, and fruitful improvements and developments of the Arctic models by a new generation of Arctic modelers. The objective of this award is to employ high and very high resolution models and observations to investigate the role of sub-grid processes in regional ocean and sea ice models of the Arctic seas. The project will be focused on targeting important scientific problems and enhancing collaboration and coordination among arctic marine modelers, theoreticians, and observationalists. This work will be managed in teleconferences, virtual workshops, newsletters, and annual meetings with one-day schools for young and developing arctic researchers. The project will support synthesis across the suite of Arctic models and observations by: (i) Conducting coordinated research on modeling with resolutions resolving small scale processes (for example, resolving eddies and internal waves); (ii) Holding scientific meetings and schools for new investigators including virtual teleconferences; (iii) Creating teams of modelers, theoreticians, and observationalists to work on topical issues of Arctic sea ice and oceanic dynamics and thermodynamics; (iv) Conducting collaboration with other similar projects focused on other aspects of arctic/global climate (atmospheric, terrestrial, cryospheric); (v) Disseminating findings to broader communities; and (vi) Training a new generation of ocean and sea-ice observationalists and modelers. The most significant contributions are likely to be results of internationally coordinated development and analysis of modeling and observing at high and very high resolution; identification of uncertainties and errors and causes of these errors and model discrepancies, and recommendations for improvements of existing regional coupled ice-ocean models and Global Climate Models, by implementing new physics for Arctic processes.