Banca de DEFESA: PAULO ANTUNES DIAS PEREIRA CALADO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : PAULO ANTUNES DIAS PEREIRA CALADO
DATE: 08/10/2021
TIME: 09:00
LOCAL: VIDEOCONFERÊNCIA
TITLE:

Validation of the optical thickness data of the Aerosols of modis and imo sensors and the MERRA-2 model through the observed data of AERONET

KEY WORDS:

Remote Sensing, Optical thickness, Aerosols.

PAGES: 88
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUBÁREA: Meteorologia
SUMMARY:

Of the variables related to air pollution, aerosols are one of the
responsible for affecting the radiation balance, causing changes
in the atmosphere resulting in long-term climate change. for your
characteristics are very varied, their distribution in the atmosphere is
heterogeneous, making the means of measurement specific. There are some
ways to study these characteristics and/or properties, one of which is by
Optical Thickness analysis, which is responsible for quantifying the attenuation
of radiation in a medium containing optically active material, so
Remote sensing is one of the most effective tools. The purpose of
present study is to compare aerosol optical thickness data from three
sources other than surface data from AERONET (Aerosol Robotic Network),
two of them obtained through remote sensing using the sensors
MODIS (Moderate-Resolution Imaging Spectroradiometer) and OMI (Ozone

Monitoring Instrument) and the third using reanalysis data from MERRA-
2 (Modern Era Retrospective-Analysis for Research). For this will be used

independent observations from 4 AERONET stations. evaluating the
optical thickness quality of other data sources through methods
statisticians such as BIAS, RSME and Pearson, the main areas were observed.
with higher values over South America for the period 2005 to 2019 and
pointed out possible reasons for the results obtained. From the three data sources
used in comparison with what was observed, the MODIS sensor stood out
while showing the best results. The OMI sensor got two of the worst
correlations observed throughout the study, always overestimating the
station data. The AERONET station where the 3 data sources that
obtained the best correlations was that of Alta Floresta. In contrast to what
obtained the worst results was the CEILA station

BANKING MEMBERS:
Externa ao Programa - 3379896 - ERICKA VOSS CHAGAS MARIANO
Presidente - 1846078 - GLAUBER LOPES MARIANO
Interno - 2347007 - HELBER BARROS GOMES
Interno - 4421297 - HELIOFABIO BARROS GOMES
Externo à Instituição - WENDELL RONDINELLI GOMES FARIAS - UFSC