Mon Oct 13, F. Flechtner
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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.
• from the NASA Astrophysics Data System • by the DOI System •
@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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