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@INPROCEEDINGS{Naz:1022139,
      author       = {Naz, Bibi S. and Poppe, Christian and Hendricks-Franssen,
                      Harrie-Jan},
      title        = {{P}arameter sensitivity analysis of vegetation and carbon
                      dynamics using land surface model ({CLM}5-{FATES}) at
                      {E}uropean forest sites.},
      reportid     = {FZJ-2024-01260},
      year         = {2023},
      abstract     = {Changing environmental conditions impact ecosystem dynamics
                      which have important implications for the land–atmosphere
                      carbon and water exchanges. Land surface models coupled with
                      dynamic vegetation models can be used to understand the
                      impact of changes in terrestrial ecosystems on carbon and
                      water cycles and their interactions with climate. However,
                      process-based vegetation models are highly parameterized and
                      have a large number of uncertain parameters, which lead to
                      uncertainties in the model outputs. Here, we use a dynamic
                      vegetation model, the Functionally Assembled Terrestrial
                      Simulator (FATES) coupled to the Community Land Model (CLM
                      v5) to analyze parameter sensitivities and its effects on
                      forest growth, carbon storage and fluxes. We first calibrate
                      allometry parameters to accurately describe plant functional
                      types, representative of most abundant tree species across
                      Europe (such as Norway spruce and European Beach), at three
                      different European sites. Further, an ensemble of model
                      simulations with perturbed parameters were performed and
                      compared against observations to explore uncertainties in
                      simulated vegetation structure and distributions (forest
                      density, tree basal areas and above ground biomass) and
                      their effects on ecosystem functioning (carbon, water and
                      energy fluxes). Comparison with observation shows that the
                      CLM5-FATES model is able to capture the interannual
                      variability well for water and carbon fluxes (such as ET and
                      GPP), but shows larger uncertainties for simulated forest
                      structure (growth, establishment, and mortality). Future
                      work will focus on parameter optimization to further improve
                      model performance in simulating vegetation growth and
                      composition for different vegetation distributions and
                      climate conditions.},
      month         = {Apr},
      date          = {2023-04-24},
      organization  = {EGU General Assembly 2023, Vienna
                       (Austria), 24 Apr 2023 - 28 Apr 2023},
      subtyp        = {Plenary/Keynote},
      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)6},
      doi          = {10.5194/egusphere-egu23-11629},
      url          = {https://juser.fz-juelich.de/record/1022139},
}