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@INPROCEEDINGS{Naz:1038608,
author = {Naz, Bibi S. and Poppe, Christian and Franssen, Harrie-Jan
Hendricks and Fisher, Rosie and Cabrera, Juan Baca and
Vereecken, Harry},
title = {{E}valuating {CLM}5-{FATES} performance with different
complexities of vegetation dynamics across {E}uropean
forested sites},
reportid = {FZJ-2025-01580},
year = {2024},
abstract = {Land surface models (LSMs), when coupled with vegetation
dynamic models, serve as useful tools to understand how
ecosystem changes impact carbon and water cycling and
interact with the climate. However, simplified vegetation
parameterization schemes within LSMs makes it challenging to
capture the full dynamics of vegetation processes, leading
to significant uncertainties in the simulated ecosystem
variables. To assess these uncertainties stemming from
different model complexities in vegetation representations,
we conducted model simulations employing different
vegetation parameterization schemes: (1) using static
vegetation distribution and prescribed leaf area index
(LAI), (2) simulating full carbon cycle with static
vegetation, and (3) explicitly simulating fully dynamic
carbon and vegetation distribution.Here, we use a vegetation
demographic model, the Functionally Assembled Terrestrial
Simulator (FATES) coupled with the Community Land Model
(CLM5) to evaluate the representation of vegetation dynamics
and related surface fluxes across multiple forested sites in
Europe selected from the Integrated Carbon Observation
System (ICOS) station network. Comparison with observations
showed that the CLM5-FATES model, with the full vegetation
dynamics implementation, exhibited better model performance
in simulating gross primary production (GPP) than the runs
with prescribed leaf-area climatology. However, the model
showed an underestimation of LAI with low interannual
variations compared to satellite-based MODIS data,
particularly for sites with evergreen forests. Additionally,
the model's performance in simulating hydrological fluxes
(such as soil moisture (SM) and evapotranspiration (ET))
remained consistent across all sites, irrespective of model
complexity. Future work will explore uncertainties in
simulated vegetation structure and distributions and
parameter optimization to improve model performance in
simulating forest growth and composition.},
month = {Apr},
date = {2024-04-14},
organization = {European Geosciences Union General
Assembly 2024, Vienna (Austria), 14 Apr
2024 - 19 Apr 2024},
subtyp = {Other},
cin = {IBG-3},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217) / eLTER PLUS - European long-term ecosystem,
critical zone and socio-ecological systems research
infrastructure PLUS (871128)},
pid = {G:(DE-HGF)POF4-2173 / G:(EU-Grant)871128},
typ = {PUB:(DE-HGF)24},
doi = {10.5194/egusphere-egu24-14921},
url = {https://juser.fz-juelich.de/record/1038608},
}