Parameterizations for global thundercloud corona discharge distributions

• Published in: Atmospheric chemistry and physics Vol. 24; no. 18; pp. 10225 - 10243
• Main Authors: Soler, Sergio, Gordillo-Vázquez, Francisco J, Pérez-Invernón, Francisco J, Jöckel, Patrick, Neubert, Torsten, Chanrion, Olivier, Reglero, Victor, Ãstgaard, Nikolai
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 16.09.2024; Copernicus Publications
• Subjects: 21st century; Atmosphere; Capes (landforms); Chemistry; Climate; Climate models; Climate prediction; Clouds; Cold; Convective available potential energy; Corona; Corona discharges; Discharge; Light emission; Lightning; Lightning flashes; Linear functions; Liquid water content; Moisture content; Nitrogen dioxide; Potential energy; Precipitation; Satellites; Storms; Thunderstorms; Variables; Water; Water content
• ISSN: 1680-7316; 1680-7324
• DOI: 10.5194/acp-24-10225-2024

Four parameterizations, distinguishing between land and ocean, have been developed to simulate global distributions of thundercloud streamer corona discharges (also known as Blue LUminous Events or BLUEs) mainly producing bluish optical emissions associated with the second positive system of N.sub.2 accompanied by no (or hardly detectable) 777.4 nm light emission. BLUEs occur globally about 12 times less frequently (Soler et al., 2022) than lightning flashes. The four schemes are based on non-linear functions of the cloud-top height (CTH), the product of the convective available potential energy (CAPE) and total precipitation (TP), the product of CAPE and specific cloud liquid water content (CLWC), and the product of CAPE and specific cloud snow water content (CSWC). Considering that thunderstorms occur on hourly timescales, these parameterizations have been tested using hourly ERA5 data (except for CTH, not available in ERA5) for the meteorological variables considered, finding that the proposed BLUE schemes work fine and are consistent with observations by the Atmosphere-Space Interactions Monitor (ASIM). Moreover, the parameterizations have been implemented in a global chemistry-climate model that generates annual and seasonal global distributions for present-day and end of 21st century climate scenarios. Present-day predictions are in reasonable agreement with recent observations by the ASIM. Predictions for the end of the 21st century suggest BLUE occurrence rates that range between 13 % higher (â¼ 3 % K.sup.-1) and 52 % higher (â¼ 13 % K.sup.-1) than present-day average occurrences of BLUEs.