doctoralThesis
Caracterização de profundidade óptica de aerossóis atmosféricos no nordeste brasileiro: um estudo através do sistema de modelagem EURAD-IM com assimilação de dados
Fecha
2019-09-24Registro en:
OLIVEIRA, Aline Macedo de. Caracterização de profundidade óptica de aerossóis atmosféricos no nordeste brasileiro: um estudo através do sistema de modelagem EURAD-IM com assimilação de dados. 2019. 123f. Tese (Doutorado em Ciências Climáticas) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2019.
Autor
Oliveira, Aline Macedo de
Resumen
Since numerical weather prediction (NWP) studies began, many efforts
have been made in order to obtain improved results with higher accuracy and quality.
When compared to meteorological forecast, chemical weather predictions have the same
importance as with each day the concern on how atmospheric pollutants on climate
change grows. To obtain better prediction, different modeling techniques are adopted.
One of them is data assimilation (DA), which matches observational and modeled data in
order to obtain more accurate results. Usually this type of technique is use when there is
lack of data, which makes traditional modeling less trustworthy. The main goal of the
work is to characterize the AOD though a variational data assimilation method in three
dimensions (3DVAR) of the EURAD-IM inverse model for the Northeast Brazil (NEB)
and remote sensing data. EURAD (European Air Pollution Dispersion) and its inverse
form EURAD-IM developed at the University of Cologne, in Germany, is a Eulerian
model that operates from local to hemispheric scale and calculates transport, diffusion
and chemical transformation of about 70 chemical species. In NEB the short amount and
quality of emission sources makes modeling a challenge. For this reason, Aerosol Optical
Depth (AOD) derived from the MODerate Resolution Imaging Spectroradiometer
(MODIS) on board of AQUA and TERRA were considered. These data were used to
investigate and characterize aerosols particles in the region for a ten-year (from 2005 to
2014) period and to validate the model results. In this it was observed that AOD in NEB
has a feature of low particle load, with the medium value for the period of 0.2, except
during two seasons, named as typical periods. Those periods occur from January to March
and from August to October, in all the years. It was also observed that NEB is influenced
by different types of particles, sea salt (the main type), biomass burning, urban pollution,
dust and dust plus pollution. Also, observed that dust and biomass burning particles from
the African continent are advected towards NEB during the typical periods. The
simulations with EURAD-IM were performed in the year of 2014 and consider as
boundary conditions, data from The Copernicus Atmosphere Monitoring Service
(CAMS) and as meteorological driver, simulations from The Weather Research and
Forecasting (WRF) model. It was observed that EURAD-IM and MODIS data correlates
well, except during the months when AOD showed elevated values. On those EURAD
overestimates AOD in NEB. Study case with consideration on DA, showed that 3D-VAR
works well for the region. It also showed to be suitable for the NEB providing a good
correlation with the observational data and better results when compared with pure model
simulations.