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@INPROCEEDINGS{Dombrowski:1015013,
      author       = {Dombrowski, Olga and Brogi, Cosimo and Hendricks-Franssen,
                      Harrie-Jan and Bogena, Heye and Pisinaras and Andreas,
                      Panagopoulos and Chatzi, Anna and Babakos, Konstantinos and
                      Swenson, Sean},
      title        = {{A}ssessing the impact of irrigation on water storage
                      dynamics in a {M}editerranean catchment using land surface
                      modelling},
      reportid     = {FZJ-2023-03543},
      year         = {2023},
      abstract     = {Anthropogenic land use can strongly affect regional water
                      stocks and fluxes. Irrigation, for instance, greatly
                      influences soil moisture, which in turn acts as a mediator
                      between water storage compartments. There has been a growing
                      effort to represent these processes in land surface models
                      (LSMs), and thus better simulate the impact of global
                      changes on water resources. An accurate representation of
                      irrigation practices and associated processes is therefore
                      crucial in LSMs when quantifying water storage dynamics and
                      associated fluxes. However, the ability of LSMs to represent
                      irrigation management and thus investigate its role in the
                      water cycle within complex catchments has not yet been
                      explored in sufficient detail.This study attempts to
                      quantify the influence of irrigation on water storage
                      dynamics of the Pinios Hydrological Observatory (PHO), a
                      small Mediterranean catchment in central Greece, taking the
                      Community Land Model version 5 (CLM5) as an example. For
                      this, CLM5 was first applied and tested in two highly
                      instrumented irrigated apple orchards within the PHO by
                      using available information on local climate, soil, crop
                      management and phenology for model set-up and calibration.
                      Model results were compared to observed apple yield, sap
                      flow, soil matric potential, and soil moisture. The latter
                      two were obtained from a distributed sensor network
                      measuring at three depths (12 locations per field). CLM5 was
                      able to accurately reproduce the soil moisture response to
                      irrigation in one of the fields whereas some bias was
                      apparent in the second field. In a next step, CLM5 was
                      applied to the entire PHO using regional land use and soil
                      information. Utilising this model setup, one full and two
                      deficit irrigation scenarios were implemented over a 7-year
                      period using local climate data to analyse the impact of
                      irrigation on soil water storage and groundwater
                      interactions at the catchment scale. We will demonstrate how
                      the findings of this study can contribute to understand the
                      effects of irrigated agriculture on catchment water storage
                      dynamics and aid in the management of regional water
                      resources.},
      month         = {Sep},
      date          = {2023-09-25},
      organization  = {2nd TERENO-OZCAR Conference 2023, Bonn
                       (Germany), 25 Sep 2023 - 28 Sep 2023},
      subtyp        = {Other},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / ATLAS - Agricultural Interoperability and
                      Analysis System (857125) / DFG project 357874777 - FOR 2694:
                      Large-Scale and High-Resolution Mapping of Soil Moisture on
                      Field and Catchment Scales - Boosted by Cosmic-Ray Neutrons
                      (357874777) / DFG project 390732324 - EXC 2070: PhenoRob -
                      Robotik und Phänotypisierung für Nachhaltige
                      Nutzpflanzenproduktion (390732324)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(EU-Grant)857125 /
                      G:(GEPRIS)357874777 / G:(GEPRIS)390732324},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1015013},
}