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@INPROCEEDINGS{Naz:905603,
      author       = {Naz, Bibi S. and Sharples, Wendy and Goergen, Klaus and
                      Kollet, Stefan},
      title        = {{S}ensitivity of hydrological fluxes and states to
                      groundwater representation in continental scale simulations
                      over {E}urope.},
      reportid     = {FZJ-2022-00835},
      year         = {2021},
      abstract     = {<p>This study explores the influence of groundwater
                      representation on soil moisture, evapotranspiration, total
                      water storage, water table depth and groundwater
                      recharge/discharge through the comparison of multi-model
                      simulations using the stand-alone Community Land Model
                      (CLM3.5) and the ParFlow hydrologic model. ParFlow simulates
                      three-dimensional variably saturated groundwater flow
                      solving Richards equation and overland flow with a
                      two-dimensional kinematic wave approximation, whereas CLM3.5
                      applies a simple approach to simulate groundwater recharge
                      and discharge processes via the connection of bottom soil
                      layer and an unconfined aquifer. Over Europe with a lateral
                      resolution of 3km, both models were driven with the
                      COSMO-REA6 reanalysis dataset for the time period from 1997
                      to 2006 at an hourly time step using the same datasets for
                      the static input variables (such as topography, vegetation
                      and soil properties). Evaluation against independent
                      observations including satellite-derived and in-situ soil
                      moisture, evapotranspiration, and total water storage
                      datasets show that both models capture the interannual and
                      seasonal variations well at the regional scale, however
                      ParFlow performs better in simulating surface soil moisture
                      in comparison with in-situ data. Moreover, juxtaposition of
                      both models shows that simulations of water fluxes and sates
                      in both space and time are sensitive to the differences in
                      groundwater representation in the model. For example,
                      simulations with ParFlow have overall wetter soil moisture
                      than CLM, particularly in humid and cold regions and driest
                      soil moisture in the arid and semi-arid regions. Seasonally,
                      ParFlow simulates wetter soil moisture in winter and driest
                      in summer than CLM model. This study helps to understand and
                      quantify uncertainties in groundwater related processes in
                      hydrologic simulations and resulting implications for water
                      resources assessment at regional to continental scales.</p>},
      month         = {Apr},
      date          = {2022-04-19},
      organization  = {EGU General Assembly 2021, Online
                       (Austria), 19 Apr 2022 - 30 Apr 2022},
      subtyp        = {After Call},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / EoCoE-II - Energy Oriented Center of Excellence
                      : toward exascale for energy (824158)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(EU-Grant)824158},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.5194/egusphere-egu21-4341},
      url          = {https://juser.fz-juelich.de/record/905603},
}