Publications related to the GRACE Missions (no abstracts)

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Estimating Runoff Using Hydro-Geodetic Approaches

Sneeuw, Nico, Lorenz, Christof, Devaraju, Balaji, Tourian, Mohammad J., Riegger, Johannes, Kunstmann, Harald, and Bárdossy, András, 2014. Estimating Runoff Using Hydro-Geodetic Approaches. Surveys in Geophysics, 35(6):1333–1359, doi:10.1007/s10712-014-9300-4.

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@ARTICLE{2014SGeo...35.1333S,
       author = {{Sneeuw}, Nico and {Lorenz}, Christof and {Devaraju}, Balaji and {Tourian}, Mohammad J. and {Riegger}, Johannes and {Kunstmann}, Harald and {B{\'a}rdossy}, Andr{\'a}s},
        title = "{Estimating Runoff Using Hydro-Geodetic Approaches}",
      journal = {Surveys in Geophysics},
     keywords = {Hydro-geodesy, Runoff from hydro-geodetic methods, Gravity recovery and climate experiment satellite mission (GRACE), Satellite altimetry, Continental-scale water budgets, Water storage changes},
         year = 2014,
        month = nov,
       volume = {35},
       number = {6},
        pages = {1333-1359},
     abstract = "{Given the continuous decline in global runoff data availability over the
        past decades, alternative approaches for runoff determination
        are gaining importance. When aiming for global scale runoff at a
        sufficient temporal resolution and with homogeneous accuracy,
        the choice to use spaceborne sensors is only a logical step. In
        this respect, we take water storage changes from Gravity
        Recovery And Climate Explorer (GRACE) results and water level
        measurements from satellite altimetry, and present a
        comprehensive assessment of five different approaches for river
        runoff estimation: hydrological balance equation, hydro-
        meteorological balance equation, satellite altimetry with
        quantile function-based stage{\textendash}discharge
        relationships, a rudimentary instantaneous
        runoff{\textendash}precipitation relationship, and a
        runoff{\textendash}storage relationship that takes time lag into
        account. As a common property, these approaches do not rely on
        hydrological modeling; they are either purely data driven or
        make additional use of atmospheric reanalyses. Further, these
        methods, except runoff{\textendash}precipitation ratio, use
        geodetic observables as one of their inputs and, therefore, they
        are termed hydro-geodetic approaches. The runoff prediction
        skill of these approaches is validated against in situ runoff
        and compared to hydrological model predictions. Our results show
        that catchment-specific methods (altimetry and
        runoff{\textendash}storage relationship) clearly outperform the
        global methods (hydrological and hydro-meteorological
        approaches) in the six study regions we considered. The global
        methods have the potential to provide runoff over all
        landmasses, which implies gauged and ungauged basins alike, but
        are still limited due to inconsistencies in the global
        hydrological and hydro-meteorological datasets that they use.}",
          doi = {10.1007/s10712-014-9300-4},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2014SGeo...35.1333S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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