CLIMLAB: a Python toolkit for interactive, process-oriented climate modeling Article Swipe
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· 2018
· Open Access
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· DOI: https://doi.org/10.21105/joss.00659
· OA: W2802477925
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, process-based understanding and reproducible computational results (Held 2005;Jeevanjee et al. 2017).CLIMLAB defines a base Python class called Process.This generalized model operator contains, at a minimum:
