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

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Cumulative views and downloads (calculated since 22 Apr 2025)

Month	HTML	PDF	XML	Total
Apr 2025	57	13	3	73
May 2025	71	12	4	87
Jun 2025	62	16	6	84
Jul 2025	43	14	0	57
Aug 2025	54	19	6	79
Sep 2025	18	18	1	37
Oct 2025	35	9	2	46
Nov 2025	124	35	3	162
Dec 2025	26	9	0	35

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119	26	2	147	7	3	3

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Latest update: 03 Dec 2025

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%.