Abstract. Slushflows are observed worldwide in areas with seasonal snow cover. A regional early warning for slushflow hazard was established in Norway in 2013–14 as the first in the world of its kind and has been operational since. This paper presents a methodology using water supply – snow depth ratio by snow type, employing grid values and data from historical slushflows, to assess regional slushflow hazard. In Norway slushflows pose a significant natural hazard. Hazard prediction and early warning is therefore crucial to prevent casualties and damage to infrastructure. A benefit with this approach is that it can be implemented in other regions with slushflow hazard where the necessary input data are available. Slushflows are rapid mass movements of water saturated snow. They release in low to moderate slopes (< 30°). Due to their high liquid water content, slushflows usually have long runouts, and they can transform into debris flows. A complex interaction between several factors is the key to slushflow initiation. Impeded infiltration of the ground is a prerequisite. Porous snow structures are most prone to destabilization. Rate and duration of water supply, due to rain on snow and/or intense snowmelt, is crucial. The daily assessment of slushflow hazard is based on information on snow cover and hydro-meteorological conditions. Four main variables are central: ground conditions, snow properties, air temperature, and water supply to snow. A wide range of meteorological and hydrological parameters from multiple sources, together with real-time data from automatic stations and observations from the field, are assessed. The data is provided from the decision-making tool Varsom Xgeo, presenting outputs from model simulations as gridded maps (1x1 km). A first water supply-to-snow depth ratio for different types of snow has been developed using grid values and data from historical slushflows.