open access publication

Preprint, 2024

Parameterizations for global thundercloud corona discharge distributions

EGUsphere, Volume 2024, Pages 1-21, 10.5194/egusphere-2024-132

Contributors

Soler, Sergio 0000-0001-8032-5427 [1] Gordillo-Vázquez, Francisco José 0000-0002-0719-8203 [1] Pérez-Invernón, Francisco Javier 0000-0003-2905-3854 [1] Jöckel, Patrick 0000-0002-8964-1394 [2] Neubert, Torsten 0000-0001-7851-7788 [3] Chanrion, Olivier A 0000-0002-4484-4104 [3] Reglero, Victor 0000-0002-0437-5286 [4] Østgaard, Nikolai [5]

Affiliations

  1. [1] Instituto de Astrofísica de Andalucía
  2. [NORA names: Spain; Europe, EU; OECD];
  3. [2] German Aerospace Center
  4. [NORA names: Germany; Europe, EU; OECD];
  5. [3] Technical University of Denmark
  6. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] University of Valencia
  8. [NORA names: Spain; Europe, EU; OECD];
  9. [5] University of Bergen
  10. [NORA names: Norway; Europe, Non-EU; Nordic; OECD]

Abstract

Four parameterizations 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 to the second positive system of N2 accompanied by no (or hardly detectable) 777.4 nm light emission. BLUEs occur globally between about 7 and 12 times less frequently (Soler et al., 2022) than lightning flashes. The four schemes are based on nonlinear 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 ERA5 hourly 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 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 good agreement with recent observations by the Atmosphere Space Interaction Monitor (ASIM).

Keywords

Atmosphere Space Interaction Monitor, ERA5, ERA5 hourly data, N2, atmosphere, available potential energy, blue, blue schemes, chemistry-climate model, climate, climate scenarios, cloud, cloud liquid water content, cloud top height, consistent with observations, content, convective available potential energy, corona discharge, data, day predictions, days, discharge, discharge distribution, distribution, emission, energy, flash, function, global chemistry-climate model, global distribution, height, hourly data, hourly timescale, interaction monitoring, lightning, lightning flashes, liquid water content, meteorological variables, model, monitoring, nonlinear function, observations, optical emission, parameterization, positioning system, potential energy, precipitation, prediction, product of convective available potential energy, production, scenarios, scheme, snow water content, streamer corona discharge, system, thunderstorms, timescales, top height, total precipitation, variables, water content

Funders

  • Consejería de Empleo, Formación y Trabajo Autónomo
  • CaixaBank (Spain)
  • Ministry of Economy, Industry and Competitiveness

Data Provider: Digital Science