Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models.

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Title: Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models.
Authors: Gregor, Konstantin1 (AUTHOR) hi@konstantin-gregor.com, Meyer, Benjamin F.1 (AUTHOR), Gaida, Tillmann2 (AUTHOR), Justo Vasquez, Victor3 (AUTHOR), Bett-Williams, Karina4,5 (AUTHOR), Forrest, Matthew6 (AUTHOR), Darela-Filho, João P.1 (AUTHOR), Rabin, Sam7 (AUTHOR), Longo, Marcos8,9 (AUTHOR), Melton, Joe R.10 (AUTHOR), Nord, Johan11 (AUTHOR), Anthoni, Peter12 (AUTHOR), Bastrikov, Vladislav13 (AUTHOR), Colligan, Thomas14,15 (AUTHOR), Delire, Christine16 (AUTHOR), Dietze, Michael C.17 (AUTHOR), Hurtt, George18 (AUTHOR), Ito, Akihiko19 (AUTHOR), Keetz, Lasse T.20 (AUTHOR), Knauer, Jürgen21 (AUTHOR)
Source: Geoscientific Model Development. 2026, Vol. 19 Issue 6, p2407-2436. 30p.
Database: Academic Search Ultimate
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ISSN:1991959X
DOI:10.5194/gmd-19-2407-2026