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@ARTICLE{Sakai:820885,
      author       = {Sakai, Toru and Iizumi, Toshichika and Okada, Masashi and
                      Nishimori, Motoki and Grünwald, Thomas and Prueger, John
                      and Cescatti, Alessandro and Korres, Wolfgang and Schmidt,
                      Marius and Carrara, Arnaud and Loubet, Benjamin and Ceschia,
                      Eric},
      title        = {{V}arying applicability of four different satellite-derived
                      soil moisture products to global gridded crop model
                      evaluation},
      journal      = {International journal of applied earth observation and
                      geoinformation},
      volume       = {48},
      issn         = {0303-2434},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2016-06149},
      pages        = {51 - 60},
      year         = {2016},
      abstract     = {Satellite-derived daily surface soil moisture products have
                      been increasingly available, but their applicability to
                      global gridded crop model (GGCM) evaluation is unclear. This
                      study compares four different soil moisture products with
                      the flux tower site observation at 18 cropland sites across
                      the world where either of maize, soybean, rice and wheat is
                      grown. These products include the first and second versions
                      of Climate Change Initiative Soil Moisture (CCISM-1 and
                      CCISM-2) datasets distributed by the European Space Agency
                      and two different AMSR-E (Advanced Microwave Scanning
                      Radiometer–Earth Observing System)-derived soil moisture
                      datasets, separately provided by the Japan Aerospace
                      Exploration Agency (AMSRE-J) and U.S. National Aeronautics
                      and Space Administration (AMSRE-N). The comparison
                      demonstrates varying reliability of these products in
                      representing major characteristics of temporal pattern of
                      cropland soil moisture by product and crop. Possible reasons
                      for the varying reliability include the differences in
                      sensors, algorithms, bands and criteria used when estimating
                      soil moisture. Both the CCISM-1 and CCISM-2 products appear
                      the most reliable for soybean- and wheat-growing area.
                      However, the percentage of valid data of these products is
                      always lower than other products due to relatively strict
                      criteria when merging data derived from multiple sources,
                      although the CCISM-2 product has much more data with valid
                      retrievals than the CCISM-1 product. The reliability of the
                      AMSRE-J product is the highest for maize- and rice-growing
                      areas and comparable to or slightly lower than the CCISM
                      products for soybean- and wheat-growing areas. The AMSRE-N
                      is the least reliable in most location-crop combinations.
                      The reliability of the products for rice-growing area is far
                      lower than that of other upland crops likely due to the
                      extensive use of irrigation and patch distribution of rice
                      paddy in the area examined here. We conclude that the
                      CCISM-1, CCISM-2 and AMSRE-J products are applicable to GGCM
                      evaluation, while the AMSRE-N product is not. However, we
                      encourage users to integrate these products with in situ
                      soil moisture data especially when GGCMs simulations for
                      rice are evaluated.},
      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:000372682300006},
      doi          = {10.1016/j.jag.2015.09.011},
      url          = {https://juser.fz-juelich.de/record/820885},
}