Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application

Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application

<p>The assessment of forest-based climate change mitigation strategies relies on computationally intensive scenario analyses, particularly when dynamic vegetation models are coupled with socioeconomic models in multi-model frameworks. In this study, we developed surrogate models for the LPJ-GU...

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Bibliographic Details
Main Authors: C. Natel, D. M. Belda, P. Anthoni, N. Haß, S. Rabin, A. Arneth
Format: Article
Language:English
Published: Copernicus Publications 2025-07-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/18/4317/2025/gmd-18-4317-2025.pdf
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