I analyze damage from hurricane strikes on the United States since 1955. Using machine learning methods to select the most important drivers for damage, I show that large errors in a hurricane's predicted landfall location result in higher damage. This relationship holds across a wide range of...

The study provides forward-looking estimates for economic damages from floods and tropical cyclones (TC) for a wide range of countries using global datasets. Damages are estimated for three Intergovernmental Panel on Climate Change (IPCC) scenarios and aggregated at the country level, building...