Analysis of synoptic conditions during the forest fires in the Amazon and their impact on the city of São Paulo on august 19, 2019

Authors

DOI:

https://doi.org/10.5902/2179460X87844

Keywords:

Fires, Synoptic, Transport

Abstract

The proposed work aims to evaluate the synoptic conditions during the fire event in the Amazon region in August 2019, which ended up causing the transport of particulates to the southeast region, directly impacting the city of São Paulo on the 19th, transforming the day in night. For the evaluation, the ERA5 reanalysis data was used together with the HYSPLIT model data in order to analyze the trajectory of the air parcels during the event. Based on the evaluations, the passage of a frontal system was observed, whose function was the convergence of humidity and wind flow over the region of São Paulo, favoring the development of cloudiness. In addition, the increase in particulates throughout the atmosphere can contribute as condensation nuclei, favoring the considerable increase in dark clouds during the afternoon in the municipality, directly impacting the reflected radiation, giving a nocturnal appearance to the city.

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Author Biographies

Douglas Lima de Bem, Universidade Federal de Santa Maria

Meteorologist graduated from the Federal University of Santa Maria. Master in Meteorology through the Graduate Program in Meteorology at the Federal University of Santa Maria (PPGMET). His master's project focused on the analysis and development of numerical models in atmospheric studies in order to improve accuracy in numerical weather forecasting. Currently, doctoral student from the PPGMET with the main objective of investigating the spread of aerosols over the south and southeast regions from biomass burning in the Amazon region. For this, it makes use of numerical modeling and data science to obtain this analysis. Throughout his graduation and continuing during his master's, he participates in the Atmospheric Modeling Group (GruMa) where he works with projects that address experimental studies and numerical modeling in turbulent flows. Throughout graduation, with the realization of scientific initiation, he developed skills in several programming languages ​​(fortran, NCL, Python, GO among others) using them to create meteorological maps for weather forecasting. From his studies in atmospheric modeling, he acquired knowledge about handling the "Weather Research and Forecasting Model" during his undergraduate years, lasting throughout his master's degree. In addition, over the years he has been developing skills for data science work in Python, also using the standard language for relational database SQL.

Vagner Anabor, Universidade Federal de Santa Maria

Professor Vagner Anabor is a Brazilian researcher in the field of Meteorology, whose academic career is marked by a deep commitment to the advancement of atmospheric knowledge and innovation in the prediction of extreme events. He completed his degree in Meteorology at the Federal University of Pelotas in 2001. He obtained a Master's degree in Remote Sensing from the Federal University of Rio Grande do Sul, which he completed successfully in 2004. During his master's degree, he studied the temporal, spatial and morphological climatology of Mesoscale Convective Systems, a phenomenon responsible for 90% of the convective precipitation in South America. Currently, Mesoscale Convective Systems are gaining more and more prominence due to their severity in the current scenario of climate change and extreme meteorological events. In 2008 he completed his PhD in Physics at the Federal University of Santa Maria, continuing his studies on Mesoscale Convective Systems through cooperation with the National Severe Storms Laboratory NSSL / NOAA / USA. In this collaboration, he worked on high-performance numerical simulations using regional atmospheric models and state-of-the-art severe weather forecasting tools. His PhD in physics provided him with a solid foundation in atmospheric physics, allowing him to explore complex questions related to atmospheric behavior and weather systems at multiple scales. He has published more than 50 articles in scientific journals, covering topics such as turbulence phenomena, local circulations, snowfall in southern Brazil, severe weather conditions, regional atmospheric modeling, troposphere-stratosphere ozone exchange and remote sensing for tornado tracking. His research experience encompasses phenomena at the micro-, meso-, and synoptic atmospheric scales. He holds two patents related to forecasting electricity load demand and weather phenomena, receiving the Petrobrás 2020 Inventor award. Founding member of the Santa Maria Atmospheric Modeling Group and has worked as a professor in the postgraduate program in Meteorology for 15 years. from the Federal University of Santa Maria, Brazil, having supervised 5 master's theses and 3 doctoral theses. Currently his research is focused on investigating the large-scale transport of aerosols from fires and burning in the Amazon, as well as their impact on precipitation in storms, planetary boundary layer processes, forecasting electrical charge demand based on meteorology, severe storms capable of generating gust fronts, hail and micro-explosions. Most of these activities are developed via international cooperation projects with France (CAPES/COFECUB) and the Beijing Institute of Atmospheric Physics, IAP/CAS China, a project that allowed the installation of an X/Ka band cloud RADAR at UFSM , South region of Brazil.

Gabriela Dornelles Bittencourt, National Institute for Space Research

He has a Bachelor's degree (2015) and Master's degree (2018) in Meteorology from the Federal University of Santa Maria. In 2022, he completed his PhD in Meteorology at the Federal University of Santa Maria (2022) and Physique Atmosphère (2022) at the Universitè de La Réunion, where he completed part of the sandwich doctorate with co-supervision between the Federal University of Santa Maria (UFSM) and the Universitè de La Reunion (UR) during the period from 2019 to 2020, supported by the CAPES/COFECUB project. He is currently a PCI fellow at the National Institute for Space Research (COESU / INPE), carrying out work at the Atmospheric Ozone Monitoring Laboratory-LaMOA and the Mesosphere and Atmospheric Luminescence Laboratory-LaMLA. With experience in Atmospheric Chemistry, he carries out research in the area of ​​Atmospheric Ozone, in addition to activities with various instruments such as the Brewer Spectrophotometer, as well as launching ozone probe balloons (ozonesondes).

Damaris Kirsch Pinheiro, Universidade Federal de Santa Maria

He holds a degree in Chemical Engineering from the Federal University of Santa Maria (1990), a master's degree in Chemical Engineering from the University of Campinas (1992) and a PhD in Space Geophysics from the National Institute for Space Research (2003). She is currently an associate professor at the Federal University of Santa Maria. She served as a guest professor in 2023 at the Laboratoire DInformatique em Calcul Intensif et Image Pour la Simulation (LICIIS) at the Université de Reims Champagne-Ardenne (URCA) in France, with financial support from the CAPES-PRINT Program. She has experience in the area of ​​Atmospheric Chemistry, working mainly on the following topics: atmospheric ozone, ultraviolet radiation, aerosols and atmospheric nitrogen dioxide. She teaches classes and guides students in undergraduate courses in Chemical Engineering and Meteorology, Specialization in Environmental Education, in-person and distance learning, Postgraduate in Meteorology at the Federal University of Santa Maria. She served as Coordinator of the Undergraduate Course in Chemical Engineering at UFSM from 2012 to 2019. She currently serves as Coordinator of the Postgraduate Program in Meteorology at UFSM and coordinates a France - Brazil scientific cooperation project, MESO Project - Modeling and prediction of the Secondary Effects of the Antarctic Ozone Hole, financed by CAPES and COFECUB.

Franciano Scremin Puhales, Universidade Federal de Santa Maria

Graduated in Physics - Full Degree from the Federal University of Santa Maria (2006), graduated in Physics - Bachelor's degree from the Federal University of Santa Maria (2010), graduated in Meteorology - Bachelor's degree from the Federal University of Santa Maria (2008), Master's degree in Physics from the Federal University of Santa Maria (2008) and a PhD in Physics from the Federal University of Santa Maria (2011). He is currently a professor at the Department of Physics at the Federal University of Santa Maria. He has experience in Physics and Meteorology, with an emphasis on numerical modeling: large eddies simulation (LES), regional scale modeling with WRF (Weather Research and Forecasting) and theoretical-experimental approach to turbulent flows.

Hassan Bencherif, University of Reunion Island

Hassan Bencherif is a professor at the University of La Réunion, Réunion Island, France. He holds a PhD in atmospheric sciences from the Sorbonne University in Paris. He is an expert in remote sensing and his research covers atmospheric dynamics and variability, with a focus on ozone, aerosols and compositional changes in the tropics. Hassan Bencherif is the principal investigator of numerous international academics and research programmes (with Brazil, Argentina, South Africa, Madagascar, Morocco, India, etc.).

Nelson B`ègue, University of Reunion Island

Doctor in atmospheric sciences, professor at the University of La Réunion, Island of La Réunion.

Luiz Angelo Steffenel, Université de Reims Champagne-Ardenne

He has a doctorate in Informatique from the Institut Polytechnique de Grenoble (2005). He is currently Professor at the Université de Reims Champagne-Ardenne. He has experience in the field of Computer Science.

References

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Published

2024-12-16

How to Cite

Bem, D. L. de, Anabor, V., Bittencourt, G. D., Pinheiro, D. K., Puhales, F. S., Bencherif, H., B`ègue, N., & Steffenel, L. A. (2024). Analysis of synoptic conditions during the forest fires in the Amazon and their impact on the city of São Paulo on august 19, 2019. Ciência E Natura, 46(esp. 2), e87844. https://doi.org/10.5902/2179460X87844

Issue

Vol. 46 No. esp. 2 (2024): XIII Workshop Brasileiro de Micrometeorologia

Section

Special Edition 2

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