Key points are not available for this paper at this time.
A single hailstorm can cause losses in the billion-dollar range if it occurs over a densely populated area. Property losses from hailstorms are rising with time mainly due to a combination of increases in population density and wealth. Report based observational hail data alone are highly inhomogeneous and unable to discriminate between climate and societal changes. Here we present a statistical approach that estimates hail hazard from largescale environmental conditions. Using daily ERA-Interim reanalysis data and large hail observations (diameter larger than 2.5 cm) from the conterminous United States (CONUS) we show that four predictors enable skillful discrimination of large hail frequencies on a regional scale.
Building similarity graph...
Analyzing shared references across papers
Loading...
Andreas F. Prein
Greg J. Holland
Weather and Climate Extremes
SHILAP Revista de lepidopterología
NSF National Center for Atmospheric Research
Building similarity graph...
Analyzing shared references across papers
Loading...
Prein et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69d813f861e2ce1627d18a98 — DOI: https://doi.org/10.1016/j.wace.2018.10.004