The results show that the average baseflow is estimated with good accuracy for all the reaches which are observed at least once per cycle (relative bias less than 4%). The methodology was applied to the Seine River basin (65000 km2, France).
#Gryphon agena series
The same algorithm is then forced with discharge time series sampled at SWOT observation frequency. The algorithm was first applied using the discharge time series simulated at daily time step by a coupled hydrological-hydrogeological model to obtain the reference baseflow estimations. This work aims at answering the following question: can baseflow be estimated from SWOT observations during the mission lifetime? An algorithm based on hydrograph separation by Chapman's filter was developed to automatically estimate the baseflow in a river network at regional or larger scale (> 10000 km2). The frequency of these estimations depends on the position and ranges from zero to four values in the 21-days satellite cycle. The SWOT satellite mission will provide discharge estimations for large rivers (50 - 100 m wide) even in remote basins. Several baseflow estimation methods require river discharge measurements, which can be difficult to obtain at high spatio-temporal resolution for large scale basins. The quantification of aquifer contribution to river discharge is of primary importance to evaluate the impact of climatic and anthropogenic stresses on the availability of water resources.
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