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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Bibliographic Details
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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