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@ARTICLE{Springer:867599,
      author       = {Springer, Anne and Karegar, Makan A. and Kusche, Jürgen
                      and Keune, Jessica and Kurtz, Wolfgang and Kollet, Stefan},
      title        = {{E}vidence of daily hydrological loading in {GPS} time
                      series over {E}urope},
      journal      = {Journal of geodesy},
      volume       = {93},
      number       = {10},
      issn         = {1432-1394},
      address      = {Heidelberg},
      publisher    = {Springer80261},
      reportid     = {FZJ-2019-06220},
      pages        = {2145 - 2153},
      year         = {2019},
      abstract     = {Loading deformations from atmospheric, oceanic, and
                      hydrological mass changes mask geophysical processes such as
                      land subsidence and tectonic or volcanic deformation. While
                      it is known that hydrological loading plays a role at
                      seasonal time scales, here we demonstrate evidence that also
                      fast water storage changes contribute to daily Global
                      Positioning System (GPS) height time series. So far, no
                      clear strategy, i.e., no single conventional hydrological
                      model, has been proposed for removing hydrological
                      deformation from daily GPS height time series. Hydrological
                      model predictions of total water storage anomalies tend to
                      diverge and (substantially) deviate from Gravity Recovery
                      and Climate Experiment (GRACE) observations, which however
                      have a limited spatial and temporal resolution. Here, we
                      suggest to overcome these limitations by assimilating GRACE
                      data into a high-resolution (12.5 km) hydrological model. We
                      tested this approach over Europe, and we found that
                      accounting for daily hydrological mass changes reduces the
                      root mean square scatter of GPS height time series almost by
                      a factor of two when compared to monthly hydrological mass
                      changes. We suggest that a GRACE-assimilating hydrological
                      model would provide a promising option for removing
                      hydrology-induced vertical deformation from GPS time series
                      also at the global scale.},
      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:000495245100020},
      doi          = {10.1007/s00190-019-01295-1},
      url          = {https://juser.fz-juelich.de/record/867599},
}