Articles | Volume 15, issue 4
https://doi.org/10.5194/esd-15-1073-2024
https://doi.org/10.5194/esd-15-1073-2024
Research article
 | 
16 Aug 2024
Research article |  | 16 Aug 2024

Regionally optimized high-resolution input datasets enhance the representation of snow cover in CLM5

Johanna Teresa Malle, Giulia Mazzotti, Dirk Nikolaus Karger, and Tobias Jonas

Data sets

Multi-resolution CLM5 simulations across Switzerland J. Malle https://doi.org/10.16904/envidat.525

Seasonal snow data for Switzerland OSHD – FSM2sohd R. Mott https://doi.org/10.16904/envidat.404

johanna-malle/CLM5_CH: CLM5 simulations over Switzerland: Input data generation and analysis (v1.0) J. Malle https://doi.org/10.5281/zenodo.13305963

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Short summary
Land surface processes are crucial for the exchange of carbon, nitrogen, and energy in the Earth system. Using meteorological and land use data, we found that higher resolution improved not only the model representation of snow cover but also plant productivity and that water returned to the atmosphere. Only by combining high-resolution models with high-quality input data can we accurately represent complex spatially heterogeneous processes and improve our understanding of the Earth system.
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