% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{PoppeTern:1022141,
      author       = {Poppe Terán, Christian and S. Naz, Bibi and
                      Hendricks-Franssen, Harrie-Jan and Vereecken, Harry},
      title        = {{U}ncertainty in representation of ecosystem processes in
                      {E}urope by the {C}ommunity {L}and {M}odel v5},
      reportid     = {FZJ-2024-01262},
      year         = {2023},
      abstract     = {Understanding hydrological and biogeochemical ecosystem
                      process variability in response to a changing climate is
                      important to improve land surface models and assess current
                      and future states of ecosystem functioning. However, the
                      representation of spatial heterogeneity of ecosystem
                      processes in state-of-the-art land-surface models has not
                      been evaluated thoroughly until today. Here we compare gross
                      primary production (GPP) and evapotranspiration (ET)
                      simulated by the Community Land Model version 5 (CLM5) for
                      the period 1995-2018 over the Euro-CORDEX domain with
                      in-situ data from eddy-covariance sites as well as remote
                      sensing and reanalysis data. Additionally, we conducted a
                      parameter sensitivity analysis to identify the impact of
                      uncertainty coming from ecosystem parameters (in particular
                      default parameters for given plant functional types) for
                      selected sites in Europe. Our results show that GPP and ET
                      variation across hydroclimates show in general a good
                      agreement between CLM5 and remote sensing and reanalysis
                      products. However, both GPP and ET simulated by CLM5 show
                      large differences with measured in-situ data, depending on
                      the ecosystem type. Further, we identify sensitive
                      parameters that will be adjusted to improve ecosystem
                      representation in CLM5 in a future study. This work is
                      important to improve land surface models and
                      parameterization of plant functional types to understand and
                      improve predictions of ecosystem functioning.},
      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-egu23-13465},
      url          = {https://juser.fz-juelich.de/record/1022141},
}