Climatological variability of a thunderstorm environment dataset in tropical and temperate regions
Andrew Dowdy, Andrew Brown, Todd Lane, Mateusz Taszarek

TL;DR
This study analyzes the spatiotemporal variability of thunderstorm environments worldwide from 1979 to 2023, highlighting climate influences, long-term trends, and uncertainties in climate model projections.
Contribution
It provides a comprehensive assessment of interannual variability and long-term trends in thunderstorm environments using ERA5 data, considering climate modes and uncertainties.
Findings
Interannual variability varies significantly across regions.
Long-term trends show more increases than decreases in thunderstorm environments.
Climate modes like ENSO influence thunderstorm variability.
Abstract
Spatiotemporal variations in thunderstorm occurrence frequency are considered here using an environmental dataset derived from ERA5 reanalysis data. Interannual variability in the thunderstorm environments is examined for the period 1979-2023, with the standard deviation and coefficient of variation showing considerable spatial differences through the world. Atmospheric and oceanic modes of climate variability account for some of this interannual variability, particularly for the El Nino-Southern Oscillation through tropical and maritime regions, as well as to a lesser degree for the Indian Ocean Dipole, Arctic Oscillation and Antarctic Oscillation. Long-term trends can also contribute to interannual variability, with results showing increases are more common than decreases in the thunderstorm environments through the study region over the period 1979-2023. However, considerable…
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Taxonomy
TopicsMeteorological Phenomena and Simulations · Lightning and Electromagnetic Phenomena · Plant Water Relations and Carbon Dynamics
