Peres, L.V.; Pinheiro, D.K.; Bencherif, H.; Begue, N.; Bageston, J.V.; Bittencourt, G.D.; Portafaix, T.; Schuch, A.P.; Anabor, V.; da Silva, R.; Neves, T.T.A.T.; Silva, R.P.T.; dos Reis, G.C.G.; dos Reis, M.A.G.; Martins, M.P.P.; Toihir, M.A.; Mbatha, N.; Steffenel, L.A.; Mendes, D. Observations, Remote Sensing, and Model Simulation to Analyze Southern Brazil Antarctic Ozone Hole Influence. Remote Sens.2024, 16, 2017.
Peres, L.V.; Pinheiro, D.K.; Bencherif, H.; Begue, N.; Bageston, J.V.; Bittencourt, G.D.; Portafaix, T.; Schuch, A.P.; Anabor, V.; da Silva, R.; Neves, T.T.A.T.; Silva, R.P.T.; dos Reis, G.C.G.; dos Reis, M.A.G.; Martins, M.P.P.; Toihir, M.A.; Mbatha, N.; Steffenel, L.A.; Mendes, D. Observations, Remote Sensing, and Model Simulation to Analyze Southern Brazil Antarctic Ozone Hole Influence. Remote Sens. 2024, 16, 2017.
Peres, L.V.; Pinheiro, D.K.; Bencherif, H.; Begue, N.; Bageston, J.V.; Bittencourt, G.D.; Portafaix, T.; Schuch, A.P.; Anabor, V.; da Silva, R.; Neves, T.T.A.T.; Silva, R.P.T.; dos Reis, G.C.G.; dos Reis, M.A.G.; Martins, M.P.P.; Toihir, M.A.; Mbatha, N.; Steffenel, L.A.; Mendes, D. Observations, Remote Sensing, and Model Simulation to Analyze Southern Brazil Antarctic Ozone Hole Influence. Remote Sens.2024, 16, 2017.
Peres, L.V.; Pinheiro, D.K.; Bencherif, H.; Begue, N.; Bageston, J.V.; Bittencourt, G.D.; Portafaix, T.; Schuch, A.P.; Anabor, V.; da Silva, R.; Neves, T.T.A.T.; Silva, R.P.T.; dos Reis, G.C.G.; dos Reis, M.A.G.; Martins, M.P.P.; Toihir, M.A.; Mbatha, N.; Steffenel, L.A.; Mendes, D. Observations, Remote Sensing, and Model Simulation to Analyze Southern Brazil Antarctic Ozone Hole Influence. Remote Sens. 2024, 16, 2017.
Abstract
The paper presents the observational, remote sensing and model simulation to analyze Southern Brazil Antarctic Ozone Hole influence (SBAOHI) events occurred between 2005 and 2014. To an-alyze it we use Total Ozone Column (TOC) data provide by Brewer Spectrophotometer (BS) and OMI (Ozone Monitoring Instrument) instrument satellite, besides the AURA/MLS (Microwave Limb Sounder) instrument satellite ozone profiles was utilized with DYBAL (Dynamical Barrier Localization) code in MIMOSA (Modélisation Isentrope du transport Mésoéchelle de l’Ozone Stratosphérique par Advection) model Potential Vorticity (PV) fields. TOC has 7.0 ± 2.9 DU re-ductions average in 62 events. October have more events (30.7%). Polar Tongue events are 19.3% of total, being in October more frequently observed (50% of cases), with medium intensity (58.2%) and in stratosphere medium levels (55.0%). Already Polar Filament events (80.7%) are more frequent in September (32.0%), medium intensity (42.0%) and in stratosphere medium lev-els (40.7%). ENSO index positive phase influenced 61.3% of events, having dominance in all in-tensity categories (minor 57.9%, medium 51.6%, major 58.3%), while the equilibrium dominate the QBO influence with 50% of total cases in positive phase and 50 % in negative phase.
Keywords
antarctic; ozone; MIMOSA model
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.