Open AccessThe Climate Data Toolbox for MATLAB
Author(s) -
Greene Chad A.,
Thirumalai Kaustubh,
Kearney Kelly A.,
Delgado José Miguel,
Schwanghart Wolfgang,
Wolfenbarger Natalie S.,
Thyng Kristen M.,
Gwyther David E.,
Gardner Alex S.,
Blankenship Donald D.
Publication year - 2019
Publication title -
geochemistry, geophysics, geosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.928
H-Index - 136
ISSN - 1525-2027
DOI - 10.1029/2019gc008392
Subject(s) - toolbox , computer science , climate science , documentation , workflow , matlab , data science , software , climate model , python (programming language) , coding (social sciences) , replicate , earth system science , software engineering , earth science , data mining , climate change , programming language , database , geology , statistics , mathematics , oceanography
Climate science is highly interdisciplinary by nature, so understanding interactions between Earth processes inherently warrants the use of analytical software that can operate across the disciplines of Earth science. Toward this end, we present the Climate Data Toolbox for MATLAB, which contains more than 100 functions that span the major climate‐related disciplines of Earth science. The toolbox enables streamlined, entirely scriptable workflows that are intuitive to write and easy to share. Included are functions to evaluate uncertainty, perform matrix operations, calculate climate indices, and generate common data displays. Documentation is presented pedagogically, with thorough explanations of how each function works and tutorials showing how the toolbox can be used to replicate results of published studies. As a well‐tested, well‐documented platform for interdisciplinary collaborations, the Climate Data Toolbox for MATLAB aims to reduce time spent writing low‐level code, let researchers focus on physics rather than coding and encourage more efficacious code sharing.