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@ARTICLE{Badou:857212,
      author       = {Badou, D. F. and Diekkrüger, B. and Montzka, Carsten},
      title        = {{V}alidation of satellite soil moisture in the absence of
                      in situ soil moisture: the case of the {T}ropical {Y}ankin
                      {B}asin},
      journal      = {South African journal of geomatics},
      volume       = {7},
      number       = {3},
      issn         = {2225-8531},
      address      = {Mombray},
      publisher    = {Consas Conference},
      reportid     = {FZJ-2018-06446},
      pages        = {243-256},
      year         = {2018},
      abstract     = {Soil moisture is known to be important in hydrology,
                      agronomy, flood and drought forecasting. Acquisition of in
                      situ soil moisture data is time consuming, costly, and does
                      not cover the scale required for basin analysis. The
                      consideration of remotely-sensed soil moisture is therefore
                      promising. However, considering the limitations of satellite
                      data, there is a need to check their validity prior to their
                      utilization for impact studies. This, in turn, poses a
                      problem in the absence of in situ soil moisture. The present
                      study suggests a methodology for testing the validity of
                      remotely-sensed soil moisture without in situ soil moisture.
                      Hydrological models with a detailed soil moisture routine
                      are calibrated and validated with measured stream flows. The
                      most behavioural solutions of modelled soil moistures are
                      averaged, and used as proxy measurements. This methodology
                      was applied to the Yankin Basin (8,171 km2), a tributary of
                      the Niger River Basin. The soil moistures of three
                      hydrological models (UHP-HRU, SWAT and WaSiM) used as proxy
                      were compared with the daily ESA-CCI soil moisture for a
                      four year period (2005-2008). The coefficient of
                      determination (R2), bias and visual inspection were used as
                      quality criteria. A rather small bias ranging from
                      -0.01cm3/cm3 (SWAT $\&$ UHP-HRU) to -0.04cm3/cm3 (WaSiM
                      $\&UHP-HRU)$ was determined as well as good R2 varying
                      between 0.71 (SWAT $\&$ UHP-HRU) and 0.81 (WaSiM $\&$ SWAT
                      $\&$ UHP-HRU). The ESA-CCI soil moisture was therefore
                      judged as reliable for the study area. More important, this
                      research shows that averaging soil moistures from different
                      hydrological models provides valuable proxy measurements for
                      testing the reliability of satellite soil moistures.},
      cin          = {IBG-3},
      ddc          = {550},
      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)16},
      UT           = {WOS:000449010200003},
      doi          = {10.4314/sajg.v7i3.3},
      url          = {https://juser.fz-juelich.de/record/857212},
}