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@ARTICLE{Kandala:1022129,
      author       = {Kandala, Rajsekhar and Hendricks-Franssen, Harrie-Jan and
                      Chaudhuri, Abhijit and Sekhar, M.},
      title        = {{T}he value of soil temperature data versus soil moisture
                      data for state, parameter, and flux estimation in
                      unsaturated flow model},
      journal      = {Vadose zone journal},
      volume       = {23},
      number       = {1},
      issn         = {1539-1663},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {FZJ-2024-01250},
      pages        = {e20298},
      year         = {2024},
      abstract     = {This synthetic study explores the value of near-surface
                      soil moisture and soil temperature measurements for the
                      estimation of soil moisture and soil temperature profiles,
                      soil hydraulic and thermal parameters, and latent heat and
                      sensible heat fluxes using data assimilation (ensemble
                      Kalman filter) in combination with unsaturated zone flow
                      modeling (HYDRUS-1D), for 12 United States Department of
                      Agriculture soil textures in a homogeneous and bare soil
                      scenario. The soil moisture profile is estimated with a root
                      mean square error (RMSE) of 0.04 cm3/cm3 for univariate soil
                      temperature assimilation and 0.01 cm3/cm3 for univariate
                      soil moisture assimilation. Soil temperature assimilation
                      performs better for soils with higher clay content compared
                      to soils with higher sand content. The latent and sensible
                      heat fluxes are estimated with smaller RMSE for univariate
                      soil temperature assimilation compared to univariate soil
                      moisture assimilation for 8 out of 12 soil types. As the
                      climate condition changes from hot semi-arid to sub-humid
                      climate, the soil moisture assimilation performs better for
                      high permeable soil but worse for low permeable soil. In
                      summary, the findings suggest that for most soil texture
                      classes, assimilating soil temperature in vadose zone models
                      is skillful to improve latent heat flux, soil moisture
                      profile, and soil hydraulic parameters. Joint assimilation
                      with soil moisture can further enhance the accuracy of the
                      model outputs for all range of soil texture and climate
                      conditions.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001121398100001},
      doi          = {10.1002/vzj2.20298},
      url          = {https://juser.fz-juelich.de/record/1022129},
}