Battaglioli, F.; Groenemeijer, P.; Púčik, T.; Taszarek, M.; Ulbrich, U.; Rust, H. Modelled Multidecadal Trends of Lightning and (Very) Large Hail in Europe and North America (1950–2021). Journal of Applied Meteorology and Climatology 2023, doi:10.1175/jamc-d-22-0195.1.
Battaglioli, F.; Groenemeijer, P.; Púčik, T.; Taszarek, M.; Ulbrich, U.; Rust, H. Modelled Multidecadal Trends of Lightning and (Very) Large Hail in Europe and North America (1950–2021). Journal of Applied Meteorology and Climatology 2023, doi:10.1175/jamc-d-22-0195.1.
Battaglioli, F.; Groenemeijer, P.; Púčik, T.; Taszarek, M.; Ulbrich, U.; Rust, H. Modelled Multidecadal Trends of Lightning and (Very) Large Hail in Europe and North America (1950–2021). Journal of Applied Meteorology and Climatology 2023, doi:10.1175/jamc-d-22-0195.1.
Battaglioli, F.; Groenemeijer, P.; Púčik, T.; Taszarek, M.; Ulbrich, U.; Rust, H. Modelled Multidecadal Trends of Lightning and (Very) Large Hail in Europe and North America (1950–2021). Journal of Applied Meteorology and Climatology 2023, doi:10.1175/jamc-d-22-0195.1.
Abstract
We have developed additive logistic models for the occurrence of lightning, large (≥ 2 cm), and very large (≥ 5 cm) hail to investigate the evolution of these hazards in the past, in the future, and for forecasting applications. The models, trained with lightning observations, hail reports, and predictors from atmospheric reanalysis, assign an hourly probability to any location and time on a 0.25° × 0.25° × 1-hourly grid as a function of reanalysis-derived predictor parameters, selected following an ingredients- based approach. The resulting hail models outperform the Significant Hail Parameter and the simulated climatological spatial distributions and annual cycles of lightning and hail are consistent with observations from storm report databases, radar, and lightning detection data. As a corollary result, CAPE released above the -10°C isotherm was found to be a more universally skilful predictor for large hail than CAPE. In the period 1950–2021, the models applied to the ERA5 reanalysis indicate significant increases of lightning and hail across most of Europe, primarily due to rising low-level moisture. The strongest modelled hail increases occur in northern Italy with increasing rapidity after 2010. Here, very large hail has become 3 times more likely than it was in the 1950s. Across North America trends are comparatively small, apart from isolated significant increases in the direct lee of the Rocky Mountains and across the Canadian Plains. In the southern Plains, a period of enhanced storm activity occurred in the 1980s and 1990s.
Keywords
Hail; Lightning; Climate change; Regression analysis; Trends; Reanalysis data
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
