Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/gmd-19-4547-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4547-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Development and technical paper
 | 
27 May 2026
Development and technical paper |  | 27 May 2026

A hybrid framework for the spin-up and initialization of distributed coupled ecohydrological-biogeochemical models

Taiqi Lian, Ziyan Zhang, Athanasios Paschalis, and Sara Bonetti

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Short summary
Initializing spatially distributed ecohydrological models with soil biogeochemistry is computationally expensive, especially when lateral fluxes must be resolved. We developed a hybrid initialization framework that combines 1D flux-tracking spin-up simulations with random forest extrapolation to generate spatially heterogeneous, topography-informed initial conditions. The approach captures the effects of topography and lateral transport while reducing computational costs by up to 90 %.
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