Rossbypalooza 2018: A Student-led Workshop on Understanding Climate through Simple Models; Chicago, Illinois; June 11-23, 2018

Rossbypalooza 2018：由学生主导的通过简单模型了解气候的研讨会；

• 批准号: 1810964
• 负责人: Noboru Nakamura
• 金额: $ 5万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1810964&HistoricalAwards=false
• 关键词: Rossbypalooza; 2018; Student; led; Workshop

This grant supports a workshop for graduate students interested in the use of models of varying levels of complexity to understand the climate system. The workshop is named in honor of Carl-Gustaf Rossby, an early pioneer of atmospheric science and department chair at the University of Chicago.Advances in computing technology have enabled development of comprehensive climate models which use high resolution and include sophisticated representations of a large number of climate processes. Such models can achieve a high degree of realism but only at the expense of great complexity, which limits their use for understanding climate system behaviors. Simple models are of course easier to understand, but such models can fundamentally misrepresent the system if they are simplified in ways that remove or disable key processes. The task of choosing or developing models at the right level of complexity, or at appropriately varying levels of complexity, is thus a key challenge in climate research. Climate scientists grapple with this challenge on a daily basis, yet it is not systematically addressed in the standard graduate school curriculum. This workshop gives students an opportunity to learn modeling strategies involving simple and intermediate complexity models, choosing configurations appropriate for specific problems and applications. The workshop is conducted through a combination of classroom lectures showcasing classical models and configurations that have led to important insights into the climate system, and hands-on research in a small group setting. The workshop has intellectual merit as it addresses the important question of how one uses a model to arrive at understanding. It has broader impacts by training the next generation of scientists in a key methodology of the discipline. This grant covers the participation of 19 graduate students (out of a total of 30) selected through a competitive process.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.

这笔赠款支持为对使用不同复杂程度的模型了解气候系统感兴趣的研究生举办研讨会。该研讨会是以卡尔-古斯塔夫·罗斯比的名字命名的，卡尔-古斯塔夫·罗斯比是大气科学的早期先驱，也是芝加哥大学的系主任。计算技术的进步使综合气候模型的开发成为可能，这些模型使用高分辨率，并包括对大量气候过程的复杂表示。这样的模型可以达到高度的现实主义，但代价是非常复杂，这限制了它们在理解气候系统行为方面的使用。简单的模型当然更容易理解，但如果以删除或禁用关键流程的方式进行简化，则此类模型可能从根本上歪曲系统。因此，在适当的复杂程度或适当不同的复杂程度上选择或开发模型是气候研究中的一个关键挑战。气候科学家每天都在努力应对这一挑战，但标准的研究生院课程并没有系统地解决这一问题。本研讨会使学生有机会学习涉及简单和中等复杂性模型的建模策略，并选择适合特定问题和应用的配置。研讨会通过课堂讲课和小组实践研究相结合的方式进行，课堂讲课展示了导致对气候系统的重要见解的经典模型和配置。研讨会具有学术价值，因为它解决了一个重要的问题，即一个人如何使用模型来达成理解。它通过培训下一代科学家掌握该学科的关键方法论，产生了更广泛的影响。这笔奖金涵盖了通过竞争程序选出的19名研究生(从30名研究生中挑选出来)。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。