Toward essential union between evolutionary strategy and data assimilation for model diagnostics: An application for reducing the search space of optimization problems using hydrologic genome map ?
Illustrate a unified method combining evolutionary strategy and data assimilation. Demonstrate the provision of genome-like data for water resource modeling. Developed a hydrologic genomic map with diagnostic and prediction capability. The hydrologic genome map was shown to reduce the original search space by 75%. The genomic map was shown to be 99% accurate as assimilated streamflow forecasts.
data assimilation model diagnostics hydrologic genome water resource modeling evolutionary algorithms