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@ARTICLE{Naz:874550,
      author       = {Naz, Bibi S. and Kollet, Stefan and Hendricks-Franssen,
                      Harrie-Jan and Montzka, Carsten and Kurtz, Wolfgang},
      title        = {{A} 3 km spatially and temporally consistent {E}uropean
                      daily soil moisture reanalysis from 2000 to 2015},
      journal      = {Scientific data},
      volume       = {7},
      number       = {1},
      issn         = {2052-4436},
      address      = {London},
      publisher    = {Nature Publ. Group},
      reportid     = {FZJ-2020-01504},
      pages        = {111},
      year         = {2020},
      abstract     = {High-resolution soil moisture (SM) information is essential
                      to many regional applications in hydrological and climate
                      sciences. Many global estimates of surface SM are provided
                      by satellite sensors, but at coarse spatial resolutions
                      (lower than 25 km), which are not suitable for regional
                      hydrologic and agriculture applications. Here we present a
                      16 years (2000–2015) high-resolution spatially and
                      temporally consistent surface soil moisture reanalysis
                      (ESSMRA) dataset (3 km, daily) over Europe from a land
                      surface data assimilation system. Coarse-resolution
                      satellite derived soil moisture data were assimilated into
                      the community land model (CLM3.5) using an ensemble Kalman
                      filter scheme, producing a 3 km daily soil moisture
                      reanalysis dataset. Validation against 112 in-situ soil
                      moisture observations over Europe shows that ESSMRA captures
                      the daily, inter-annual, intra-seasonal patterns well with
                      RMSE varying from 0.04 to 0.06 m3m−3 and correlation
                      values above 0.5 over $70\%$ of stations. The dataset
                      presented here provides long-term daily surface soil
                      moisture at a high spatiotemporal resolution and will be
                      beneficial for many hydrological applications over regional
                      and continental scales.},
      cin          = {IBG-3 / JARA-HPC},
      ddc          = {500},
      cid          = {I:(DE-Juel1)IBG-3-20101118 / $I:(DE-82)080012_20140620$},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / EoCoE-II - Energy Oriented Center of Excellence
                      : toward exascale for energy (824158) / Water4Enery
                      $(jibg31_20190501)$},
      pid          = {G:(DE-HGF)POF3-255 / G:(EU-Grant)824158 /
                      $G:(DE-Juel1)jibg31_20190501$},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32245972},
      UT           = {WOS:000524313800001},
      doi          = {10.1038/s41597-020-0450-6},
      url          = {https://juser.fz-juelich.de/record/874550},
}