建立专业硕士生气候变化影响评估计算能力的叙述方法

Conor Anderson, Karen Smith
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引用次数: 0

摘要

随着人们越来越认识到气候变化的连锁后果,对气候变化影响评估(CCIA)研究生教育的需求日益增加。为了提高CCIA的透明度和技术技能建设,我们开发了一系列新的一步一步的、连贯叙述的、开源的Python实验室,旨在培养专业硕士学生的计算能力和信心,同时提供CCIA的基础知识,并有机会使用最先进的方法和数据。这些实验是在一个开源(CC-BY-SA 4.0)的实验手册中提出的,名为“气候变化影响评估:一个实用的演练”,具有可访问的注释代码,既可以用于独立研究,也可以用于交互式的实时编码实验会议。
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A narrative approach to building computational capacity for climate change impact assessment in professional master's students
With the growing recognition of the cascading consequences of climate change, there is an increasing demand for graduate education in climate change impact assessment (CCIA). To facilitate improved transparency and technical skill-building in CCIA, we have developed a new series of step-by-step, coherently narrated, open-source Python labs aimed at building professional master’s students’ computational capacity and confidence, while providing foundational knowledge in CCIA and the opportunity to engage with state-of-the-art methods and data. The labs are presented in an open-source (CC-BY-SA 4.0) lab manual entitled Climate Change Impact Assessment: A practical walk-through, featuring accessibly annotated code that can be used both for independent study, or during interactive live-coding lab sessions.
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