Observations, Remote Sensing, and Model Simulation to Analyze Southern Brazil Antarctic Ozone Hole Influence-Reference-Cited by-同舟云学术

Observations, Remote Sensing, and Model Simulation to Analyze Southern Brazil Antarctic Ozone Hole Influence

Published:2024-06-04 Issue:11 Volume:16 Page:2017
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Peres Lucas Vaz¹,Pinheiro Damaris Kirsh²^ORCID,Bencherif Hassan³^ORCID,Begue Nelson³,Bageston José Valentin⁴,Bittencourt Gabriela Dorneles⁴,Portafaix Thierry³^ORCID,Schuch Andre Passaglia⁵,Anabor Vagner²,da Silva Rodrigo⁶,Neves Theomar Trindade de Araujo Tiburtino¹,Silva Raphael Pablo Tapajós¹^ORCID,dos Reis Gabriela Cacilda Godinho⁶,dos Reis Marco Antônio Godinho²,Martins Maria Paulete Pereira⁷,Toihir Mohamed Abdoulwahab⁸,Mbatha Nkanyiso⁹^ORCID,Steffenel Luiz Angelo¹⁰^ORCID,Mendes David¹¹^ORCID

Affiliation:

1. Institute of Engineering and Geosciences, Federal University of Western Para (UFOPA), Santarem 68040-255, Brazil

2. Graduate Program in Meteorology, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, Brazil

3. Laboratoire de l’Atmosphère et des Cyclones—LACy, Université de La Réunion, UMR 8105, 97744 Saint-Denis, France

4. Southern Space Coordination, National Institute for Space Research, Santa Maria 97105-900, Brazil

5. Post-Graduation Program in Biological Sciences—Toxicological Biochemistry, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, Brazil

6. Post-Graduate Program in Nature, Development and Society, Federal University of Western Para (UFOPA), Santarem 68040-255, Brazil

7. General Coordination of Engineering, Technology and Space Sciences, National Institute for Space Research, São José dos Campos 12227-010, Brazil

8. Agence Nationale de l’Aviation Civile et de la Météorologie, Moroni 84646, Comoros

9. Department of Geography, University of Zululand, KwaDlangezwa, Empangeni 3886, South Africa

10. Laboratoire d’Informatique en Calcul Intensif et Image pour la Simulation—LICIIS, University of Reims Champagne-Ardenne, 51687 Reims, France

11. Post-Graduate Program in Climate Science, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil

Abstract

This paper presents the observational, remote sensing, and model simulation used to analyze southern Brazil Antarctic ozone hole influence (SBAOHI) events that occurred between 2005 and 2014. To analyze it, we use total ozone column (TOC) data provided by a Brewer spectrophotometer (BS) and the OMI (Ozone Monitoring Instrument). In addition to the AURA/MLS (Microwave Limb Sounder) instrument, satellite ozone profiles were utilized with DYBAL (Dynamical Barrier Localization) code in the MIMOSA (Modélisation Isentrope du Transport Mésoéchelle de l’Ozone Stratosphérique par Advection) model Potential Vorticity (PV) fields. TOC has 7.0 ± 2.9 DU reductions average in 62 events. October has more events (30.7%). Polar tongue events are 19.3% in total, being more frequently observed in October (50% of cases), with medium intensity (58.2%), and in the stratosphere medium levels (55.0%). Already, polar filament events (80.7%) are more frequent in September (32.0%), with medium intensity (42.0%), and stratosphere medium levels (40.7%).

Funder

CAPES

Publisher

MDPI AG

Link

https://www.mdpi.com/2072-4292/16/11/2017/pdf

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