This paper introduces a method to identify irrigated areas by combining hydrology models with satellite temperature data. Our method was tested in the Rhine basin and aligns well with official statistics. It performs best in regions with large farms and less well in areas with small farms. Observed differences to existing data are influenced by data resolution and methods.

We investigate the freeze–thaw cycles of a rock glacier located in Switzerland and their influence on subsurface hydrology. By analyzing aerial pictures, we estimate the evolution of its creeping velocity on an inter-annual scale. We use geochemical tracers measured at springs to identify the mixing of meltwater and deep groundwater on seasonal to diurnal timescales. This study provides new insights into the cryo-hydrogeological processes that regulate water fluxes in mountain regions.

Extreme floods are more common than expected. Knowing where these floods are likely to occur is key for risk management. Traditional methods struggle with limited data, causing uncertainty. We use common streamflow dynamics to indicate extreme flood propensity. Analyzing data from Atlantic Europe, northern Europe, and the US, we validate this novel approach and unravel intrinsic linkages between regional geographic patterns and extreme flood drivers.