Improving flood impact estimations

Abstract A reliable estimation of flood impacts enables meaningful risk management and rapid assessments shortly after a flood. The in 2021 Central Europe the analysis its revealed that these estimations are still inadequate. Therefore, we investigate influence different data sets methods aiming to improve impact estimates. We estimated economic private households companies for event 2013 Germany using (a) two maps, (b) approaches map exposed objects based on OpenStreetMap Basic European Asset Map, (c) estimate asset values, (d) tree-based models Stage-Damage-Functions describe vulnerability. At macro scale, water masks lead reasonable estimations. micro meso-scale, identification affected by means is insufficient leading unreliable choice exposure most influential find feasible with reported numbers flood-affected from municipalities. conclude more effort should be put investigation values. Furthermore, recommend establishment reporting system municipalities fast an event.