Modelling the spatial pattern of heatwaves in the city of Bern using a land use regression approach

Heatwaves have been the deadliest weather extreme events in Europe last decades. People living cities are especially prone to such due urban heat island (UHI) effect which increases stress surroundings during calm, steady, and radiation intensive synoptic situations. Since official measurement stations scarce, studies on spatial patterns of UHIs often rely satellite data, hobby meteorologists' or model outputs. Additionally, analyses UHI using point-based measurements need adequate cost-effective methods for interpolation. In this study, air temperature data retrieved by 60 low cost devices (LCD) used pattern with a land use regression (LUR) approach Bern, Switzerland. For purpose, 14 variables different buffer radii were calculated evaluate their interpolate data. As result, three models covering heatwaves at nighttime developed. Given good performance throughout scenarios, here presented study demonstrates successful interpolation LUR modelling based publicly accessible information within city.