"Rossbypalooza", A Student-led Workshop at the Interface of Climate Dynamics and Statistics; Chicago, Illinois; July 25-29, 2016

“Rossbypalooza”，由学生主导的气候动力学与统计接口研讨会；

• 批准号: 1603336
• 负责人: Noboru Nakamura
• 金额: $ 2.77万
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-02-15 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1603336&HistoricalAwards=false
• 关键词: Rossbypalooza; Student; led; Workshop; Interface

Climate science has historically progressed through the interweaving of observation, theory, and experiments/modeling. The discovery of phenomena in observed data, followed by careful and thoughtful analysis, leads to the proposal of mechanisms responsible for these phenomena, which are then tested through experimentation. In turn, the analysis of the observed data must be guided by theory. The modern explosion in the quantity and accessibility of observations of climate represents an unprecedented opportunity for enhancing our understanding of the Earth's climate. This potential will only be realized if we equip young scientists with the toolkits to both process and explain this data: theoretical framework of climate dynamics and application of statistics to various climate data.This project is to hold a weeklong workshop in which students will lectures on both climate science and statistical techniques, and work in small groups on research problems of their own choosing. It will provide a group of thirty graduate-level scientists with multi-disciplinary training necessary to analyze and understand climate data. The workshop will be held from July 25-29, 2016 in the Department of the Geophysical Sciences at the University of Chicago, drawing from the strengths of faculty in Climate Dynamics as well as Statistics. Topics covered will include climate extremes, jet variability, large-scale transport and mixing, monsoons, turbulence, and geospatial time series analysis. This is a pilot program that has a potential to becoming an annual or biennial meeting in the subsequent years.

气候科学在历史上通过观察、理论和实验/建模的交织而取得了进步。在观察数据中发现现象，然后进行仔细和周到的分析，导致提出负责这些现象的机制，然后通过实验进行测试。反过来，对观测数据的分析必须以理论为指导。现代气候观测在数量和可获得性方面的爆炸性增长，为加强我们对地球气候的了解提供了前所未有的机会。只有我们为年轻科学家提供处理和解释这些数据的工具包，这种潜力才能实现：气候动力学的理论框架和统计在各种气候数据中的应用。该项目将举办为期一周的研讨会，学生将在研讨会上讲授气候科学和统计技术，并在小组中就他们自己选择的研究问题进行工作。它将为30名研究生水平的科学家提供分析和理解气候数据所需的多学科培训。 研讨会将于2016年7月25日至29日在芝加哥大学地球物理科学系举行，借鉴气候动力学和统计学教师的优势。涵盖的主题将包括极端气候，喷气可变性，大规模运输和混合，季风，湍流和地理空间时间序列分析。这是一个试点项目，有可能在今后几年成为年度或两年一次的会议。