Comparison of simulations from a state-of-the-art dynamic global vegetation model (LPJ-GUESS) driven by low- and high-resolution climate data

Dmitry Otryakhin, David Martín Belda, and Almut Arneth

Supplement

https://doi.org/10.5194/gmd-18-9101-2025-supplement

Data sets

ISIMIP3b-CHELSA climate input data for LPJ-GUESS Dmitry Otryakhin and David Martín Belda https://thredds.imk-ifu.kit.edu/thredds/catalog/catalogues/luc_and_climate_catalog_ext.html

Model code and software

Software for comparison of LPJ-GUESS simulations driven by low- and high-resolution climate data Dmitry Otryakhin and David Martín Belda https://doi.org/10.5281/zenodo.14941305

Short summary

We developed a methodology for comparison of simulation results by a dynamic global vegetation model (DGVM). Using this methodology, we reveal systematic differences between high- and low-resolution DGVM simulations caused by under-representation of climate variability in the low-resolution data and poor representation of shore lines and inland water bodies. In a study area covering European Union, the differences in aggregated output variables were found to be 2.8%–7.3%.