Banca de QUALIFICAÇÃO: ALINE MACEDO DE OLIVEIRA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : ALINE MACEDO DE OLIVEIRA
DATA : 05/09/2016
HORA: 13:30
LOCAL: Auditório do CCET
TÍTULO:

Aerosol assimilation into the EURAD-IM inverse chemistry-transport-model over the Brazilian Northeast

PALAVRAS-CHAVES:

atmospheric chemistry models, aerosols, data assimilation, NEB

PÁGINAS: 61
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Geociências
SUBÁREA: Meteorologia
ESPECIALIDADE: Química da Atmosfera
RESUMO:

Since the first studies of numerical weather prediction and climate studies, many efforts had been made in order to obtain quality improvement. Compared to meteorology, chemical weather prediction is still recent. Its importance has been growing, since each day the concern on how atmospheric pollution can affect human health has increased. Numerical modeling of chemical compounds in the atmosphere in relation to climate timescales also has a big importance, since greenhouse gases and aerosols particles alter global climate. Besides their different timescales, greenhouse gases may remain in the atmosphere for many years, while aerosols usually last from some hours to several weeks, and this implies in different numerical approaches. Numerical modeling techniques many times adopt Data Assimilation (DA) methods to obtain better predictions that combine observational and modeled data in order to get more accurate results. Usually, this type of technique is used when there is lack of suitable model input data, such as emissions, initial- or boundary conditions, which results in a less trustworthy simulation. In Europe today, chemical predictions are as important as meteorological forecasts. Atmospheric Chemical Transport Models (CTM) are used to study and predict concentrations of pollutants and aerosols. Among these models, the EURAD (EURopean Air Pollution Dispersion) model and its inverse form EURAD-IM, is used at the Rhenish Institute for Environmental Research (RIU) of the Cologne University and at the Jülich Research Center in Germany. This model is one of the first European models and is continuously being developed by the german research groups. EURAD-IM operates on a hemispherical and regional scale and calculates emission, transport, diffusion and chemical transformation and wet and dry deposition of about 70 chemical species. The model also includes a three dimensional variational data assimilation (3D-VAR) and four dimensional (4D-VAR) method, that aims to reduce model uncertainties approximating pure simulations with observational data, at each time and location where data are available. In this present study this chemical data assimilation technique with EUIRAD-IM was adopted for the first time over Northeastern Brazil due to the short amount and quality of emission sources inventories, which make numerical modeling challenging. Therefore, the main objective of this work is to implement the aerosol DA method in three dimensions with the EURAD-IM inverse model for Northeastern Brazil (NEB) and test it using available observational data. Due to the lack of in situ data MODIS (Moderate Resolution Imaging Spectroradiometer) remote sensing data on board AQUA and TERRA satellites will be used, at first for the year 2014. To investigate the amount of aerosol in the atmosphere of the region, Aerosol Optical Depth (AOD), which is a quality controlled variable in the MODIS data set, will be assimilated. In a second step, data of the AERONET (Aerosol Robotic Network) will be added which, since recently, counts with a sun photometer in the city of Natal/RN. This new aerosol data assimilation system will enable studies of mineral dust transport originating from the Saharan Desert. These plumes every year are advected by trade winds from Noth Africa to the Americas. In South America these particles fertilize the Amazonian soil, passing over the NEB and possibly alter the regional weather and climate system. With this new study it is intended to make corrections on the emission inventoriy rates, which is one of the largest hindrances to the quality of tropospheric chemical forecasts in the region.

 

MEMBROS DA BANCA:
Interno - 1752417 - CLAUDIO MOISES SANTOS E SILVA
Interno - 1808127 - JOSE HENRIQUE FERNANDEZ
Presidente - 1879213 - JUDITH JOHANNA HOELZEMANN
Interno - 1249023 - SEBASTIAO MILTON PINHEIRO DA SILVA
Interno - 1164414 - WEBER ANDRADE GONCALVES