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

• Published in: Geophysical research letters Vol. 34; no. 10; pp. L10403 - n/a
• Main Authors: Andreadis, Konstantinos M., Clark, Elizabeth A., Lettenmaier, Dennis P., Alsdorf, Douglas E.
• Format: Journal Article
• Language: English
• Published: Washington, DC American Geophysical Union 01.05.2007; Blackwell Publishing Ltd
• Subjects: Atmospheric Processes; Data assimilation; Earth sciences; Earth, ocean, space; Exact sciences and technology; Freshwater; Hydrodynamic modeling; Hydrology; Oceanography; Physical; Remote sensing; United States; Ohio River; USA, Kentucky, Ohio R; remote sensing; data assimilation; satellites; river discharge; Stream discharge; simulation; Space remote sensing; satellite measurements; Satellite observation; North America; assimilation; frequency; surface water; Persistence; drill cores; instruments; depth; Jet; Hydrodynamic model; Relative error; Kalman filters; altimetry
• ISSN: 0094-8276; 1944-8007
• DOI: 10.1029/2007GL029721

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.