Introduction of a SWE-SCA hysteresis in a degree-day snow model for rainfall-runoff modelling
Introduction d'une hystérésis SWE-SCA dans un modèle de neige degré-jour pour la modélisation pluie-débit
Résumé
Degree-day snow models have the advantage of requiring few data for running and calibration, which is of the utmost importance for real-time hydrological forecasting or assessment of the impact of climate change on snow-driven catchments hydrological regimes. The CemaNeige model is a daily 2-parameter degree-day model that proved to be very efficient for discharge simulation when run together with a daily rainfall-runoff model (usually the GR4J model). In this work, we tested several ways of representing in a more realistic way the snowpack, based on the integration of SWE-SCA hysteresis. These SWE-SCA relationships aim at describing the heterogeneity of snow patterns both in space and time in the catchments. With this improved model, we showed that it is possible to make use of spatial satellite MODIS SCA data to improve the snow representation without deteriorating the discharge. The sensitivity of the relative weights between snow-based and discharge-based numerical criteria was assessed. Robustness of the model (i.e. its ability to be applied on independent periods and catchments) was improved.