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Collaborative Project: The problem of bias in defining uncertainty in computationally enabled strategies for data-driven climate model development
Author(s) -
Gabriel Huerta
Publication year - 2014
Language(s) - English
Resource type - Reports
DOI - 10.2172/1149493
Subject(s) - python (programming language) , scripting language , workflow , computer science , climate change , coupled model intercomparison project , climate model , set (abstract data type) , operations research , systems engineering , data science , database , engineering , programming language , ecology , biology

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