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@INPROCEEDINGS{Naz:905604,
      author       = {Naz, Bibi and Sharples, Wendy and Kollet, Stefan and
                      Görgen, Klaus},
      title        = {{A} sensitivity analysis of hydrological states and fluxes
                      to groundwater representation in pan-{E}uropean multimodel
                      simulations.},
      reportid     = {FZJ-2022-00836},
      year         = {2021},
      abstract     = {High-resolution large-scale predictions of hydrologic
                      states and fluxes are important for many regional-scale
                      applications and water resource management. However, because
                      of uncertainties related to forcing data, model structural
                      errors arising from simplified representations of
                      hydrological processes or uncertain model parameters, model
                      simulations remain uncertain. To quantify this uncertainty,
                      multi-model simulations were performed at 3km resolution
                      over the European continent using the Community Land Model
                      (CLM3.5) and the ParFlow hydrologic model. The ParFlow model
                      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 water table depth datasets
                      show that both models capture the interannual and seasonal
                      variations well at the regional scale, however ParFlow with
                      dynamic groundwater representation performs better in
                      simulating surface soil moisture in comparison with in-situ
                      data. 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.
                      Moreover, the difference in ET between the two models shows
                      that ParFlow produced overall higher ET over the regions
                      with shallow water table and drier regions. 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.},
      month         = {Jun},
      date          = {2021-06-29},
      organization  = {ECMWF Global hydrological modelling
                       and forecasting, Online (UK), 29 Jun
                       2021 - 1 Jul 2021},
      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)24},
      url          = {https://juser.fz-juelich.de/record/905604},
}