Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model

Details Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model

May 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3410403a&link_type=abstract

Geophysical Research Letters, Volume 34, Issue 10, CiteID L10403

Physics

14

Hydrology: Remote Sensing (1640), Atmospheric Processes: Data Assimilation, Oceanography: Physical: Hydrodynamic Modeling

Scientific paper

Surface water elevation profiles for a reach of the Ohio River were produced by the Jet Propulsion Laboratory Instrument Simulator to represent satellite measurements representative of those that would be observed by a wide swath altimeter being considered jointly by U.S. and European space agencies. The Ensemble Kalman filter with a river hydrodynamics model as its dynamical core was used to assimilate the water elevation synthetic observations, and to estimate river discharge. The filter was able to recover water depth and discharge, reducing the discharge RMSE from 23.2% to 10.0% over an 84-day simulation period, relative to a simulation without assimilation. An autoregressive error model was instrumental in correcting boundary inflows, and increasing the persistence of error reductions between times of observations. The nominal 8-day satellite overpass produced discharge relative errors of 10.0%, while 16-day and 32-day overpass frequencies resulted in errors of 12.1% and 16.9% respectively.

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