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@PHDTHESIS{Li:878231,
      author       = {Li, Dazhi},
      title        = {{T}owards a new real-time irrigation scheduling method:
                      observation, modelling and their integration by data
                      assimilation},
      volume       = {505},
      school       = {RWTH Aachen},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2020-02700},
      isbn         = {978-3-95806-492-8},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {viii, 94 S.},
      year         = {2020},
      note         = {RWTH Aachen, Diss., 2019},
      abstract     = {Irrigated agriculture is very important in securing food
                      production for an increasing population over the next
                      decades. Given the scarcity of water resources, optimal
                      irrigation management is needed to reduce water usage while
                      maintaining maximal crop productivity. The irrigation
                      scheduling methods are normally based on soil water content
                      (SWC) measurements, e.g. from soil moisture sensors.
                      Meanwhile land surface models such as the Community Land
                      Model (CLM) have been commonly used to simulate SWC, crop
                      status and hydrological processes. Data assimilation (DA)
                      can combine different measurement data with a numerical
                      model to get optimal estimation of model states. The
                      integration of SWC measurements and Community Land Model
                      using a sequential data assimilation method is promising to
                      improve the real-time prediction of SWC and the calculation
                      of irrigation demand. One of the aim of this PhD work is to
                      introduce a new CLM-DA based real-time irrigation scheduling
                      method and test it in a real world case, to explore the
                      possibility of using other sources of SWC measurements (e.g.
                      Cosmic-ray Neutron Sensing) for irrigation ,scheduling and
                      to conduct the uncertainty analysis of irrigation modelling
                      with CLM.},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2020081231},
      url          = {https://juser.fz-juelich.de/record/878231},
}