Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-5315-2021
https://doi.org/10.5194/hess-25-5315-2021
Research article
 | 
29 Sep 2021
Research article |  | 29 Sep 2021

Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding

Mohamad El Gharamti, James L. McCreight, Seong Jin Noh, Timothy J. Hoar, Arezoo RafieeiNasab, and Benjamin K. Johnson

Model code and software

DART DART team https://doi.org/10.5065/D6WQ0202

WRF-Hydro WRF-Hydro team https://ral.ucar.edu/projects/wrf_hydro

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Short summary
The article introduces novel ensemble data assimilation (DA) techniques for streamflow forecasting using WRF-Hydro and DART. Model-related biases are tackled through spatially and temporally varying adaptive prior and posterior inflation. Spurious and physically incorrect correlations, on the other hand, are mitigated using a topologically based along-the-stream localization. Hurricane Florence (2018) in the Carolinas, USA, is used as a test case to investigate the performance of DA techniques.