Measurement report: In situ observations of deep convection without lightning during the tropical cyclone Florence 2018

Hurricane Florence was the sixth named storm in the Atlantic hurricane season 2018. It caused dozens of deaths and major economic damage. In this study, we present in situ observations of trace gases within tropical storm Florence on 2 September 2018, after it had developed a rotating nature, and of...

Full description

Saved in:
Bibliographic Details
Published in:Atmospheric chemistry and physics Vol. 21; no. 10; pp. 7933 - 7945
Main Authors: Nussbaumer, Clara M, Tadic, Ivan, Dienhart, Dirk, Wang, Nijing, Edtbauer, Achim, Ernle, Lisa, Williams, Jonathan, Obersteiner, Florian, Gutiérrez-Álvarez, Isidoro, Harder, Hartwig, Lelieveld, Jos, Fischer, Horst
Format: Journal Article
Language:English
Published: Katlenburg-Lindau Copernicus GmbH 25-05-2021
Copernicus Publications
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Hurricane Florence was the sixth named storm in the Atlantic hurricane season 2018. It caused dozens of deaths and major economic damage. In this study, we present in situ observations of trace gases within tropical storm Florence on 2 September 2018, after it had developed a rotating nature, and of a tropical wave observed close to the African continent on 29 August 2018 as part of the research campaign CAFE Africa (Chemistry of the Atmosphere: Field Experiment in Africa) with HALO (High Altitude and LOng Range Research Aircraft). We show the impact of deep convection on atmospheric composition by measurements of the trace gases nitric oxide (NO), ozone (O3), carbon monoxide (CO), hydrogen peroxide (H2O2), dimethyl sulfide (DMS) and methyl iodide (CH3I) and by the help of color-enhanced infrared satellite imagery taken by GOES-16. While both systems, i.e., the tropical wave and the tropical storm, are deeply convective, we only find evidence for lightning in the tropical wave using both in situ NO measurements and data from the World Wide Lightning Location Network (WWLLN).
ISSN:1680-7324
1680-7316
1680-7324
DOI:10.5194/acp-21-7933-2021