Articles | Volume 29, issue 4
https://doi.org/10.5194/npg-29-329-2022
https://doi.org/10.5194/npg-29-329-2022
Research article
 | 
06 Oct 2022
Research article |  | 06 Oct 2022

Using a hybrid optimal interpolation–ensemble Kalman filter for the Canadian Precipitation Analysis

Dikraa Khedhaouiria, Stéphane Bélair, Vincent Fortin, Guy Roy, and Franck Lespinas

Data sets

Index of /ensemble/reps/10km/grib2 ECCC https://dd.meteo.gc.ca/ensemble/reps/10km/grib2

Index of /analysis/precip/rdpa/grib2/polar_stereographic ECCC https://dd.meteo.gc.ca/analysis/precip/rdpa/grib2/polar_stereographic

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Short summary
This study introduces a well-known use of hybrid methods in data assimilation (DA) algorithms that has not yet been explored for precipitation analyses. Our approach combined an ensemble-based DA approach with an existing deterministically based DA. Both DA scheme families have desirable aspects that can be leveraged if combined. The DA hybrid method showed better precipitation analyses in regions with a low rate of assimilated surface observations, which is typically the case in winter.