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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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  Data: 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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  Data: <searchLink fieldCode="JN" term="%22Geoscientific+Model+Development%22">Geoscientific Model Development</searchLink>. 2026, Vol. 19 Issue 6, p2407-2436. 30p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192931907
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