CLIMLAB: a Python toolkit for interactive, process-oriented climate modeling
CLIMLAB: a Python toolkit for interactive, process-oriented climate modeling
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CLIMLAB：用于交互式、面向过程的气候建模的 Python 工具包
作者：
B. Rose
CLIMLAB是一个开放式引擎，用于交互式，面向过程的气候建模，用于教育和研究。它的动机是需要更简单的工具和更可重复的工作流程，以“填补黑板级理论和综合气候模型结果之间的空白”。使用CLIMLAB，您可以交互式地混合和匹配物理模型组件，或将更简单的过程模型联合收割机组合成更全面的模型。CLIMLAB用于课堂（本科生和研究生），将模型交给学生，并强调分层，面向过程的方法来理解气候系统的关键紧急属性。CLIMLAB同样是气候研究的工具，对于更强大，基于过程的理解和可重复的计算结果存在相同的需求（Held 2005; Jeevanjee et al. 2017）。
CLIMLAB is an open-ended engine for interactive, process-oriented climate modeling for use in education and research. It is motivated by the need for simpler tools and more reproducible workflows with which to “fill in the gaps” between blackboard-level theory and the results of comprehensive climate models. With CLIMLAB you can interactively mix and match physical model components, or combine simpler process models together into a more comprehensive model. CLIMLAB is used in the classroom (undergraduate and graduate) to put models in the hands of students, and emphasize a hierarchical, process-oriented approach to understanding the key emergent properties of the climate system. CLIMLAB is equally a tool for climate research, where the same needs exist for more robust, processbased understanding and reproducible computational results (Held 2005; Jeevanjee et al. 2017).