dc.creatorOLIVEIRA, ALINE M. de
dc.creatorSOUZA, CRISTINA T.
dc.creatorOLIVEIRA, NARA P.M. de
dc.creatorMELO, ALINE K.S.
dc.creatorLOPES, FABIO J.S.
dc.creatorLANDULFO, EDUARDO
dc.creatorELBERN, HENDRIK
dc.creatorHOELZEMANN, JUDITH J.
dc.date2019
dc.date2019-11-28T19:21:07Z
dc.date2019-11-28T19:21:07Z
dc.date.accessioned2023-09-28T14:12:35Z
dc.date.available2023-09-28T14:12:35Z
dc.identifier2073-4433
dc.identifierhttp://repositorio.ipen.br/handle/123456789/30378
dc.identifier10
dc.identifier10
dc.identifier10.3390/atmos10100594
dc.identifier0000-0002-9691-5306
dc.identifier48.925
dc.identifier55.00
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9000607
dc.descriptionA 12-year analysis, from 2005 to 2016, of atmospheric aerosol optical properties focusing for the first time on Northeast Brazil (NEB) was performed based on four di erent remote sensing datasets: the Moderate Resolution Imaging Spectroradiometer (MODIS), the Aerosol Robotic Network (AERONET), the Cloud-Aerosol LIDAR with Orthogonal Polarization (CALIOP) and a ground-based Lidar from Natal. We evaluated and identified distinct aerosol types, considering Aerosol Optical Depth (AOD) and Angstr??m Exponent (AE). All analyses show that over the NEB, a low aerosol scenario prevails, while there are two distinct seasons of more elevated AOD that occur every year, from August to October and January to March. According to MODIS, AOD values ranges from 0.04 to 0.52 over the region with a mean of 0.20 and occasionally isolated outliers of up to 1.21. Aerosol types were identified as sea spray, biomass burning, and dust aerosols mostly transported from tropical Africa. Three case studies on days with elevated AOD were performed. All cases identified the same aerosol types and modeled HYSPLIT backward trajectories confirmed their source-dependent origins. This analysis is motivated by the implementation of an atmospheric chemistry model with an advanced data assimilation system that will use the observational database over NEB with the model to overcome high uncertainties in the model results induced by still unvalidated emission inventories.
dc.descriptionConselho Nacional de Desenvolvimento Cient??fico e Tecnol??gico (CNPq)
dc.descriptionCNPq: 472706/2012-8; 40030-2015; 150716/2017-6
dc.format1-22
dc.relationAtmosphere
dc.rightsopenAccess
dc.subjectaerosols
dc.subjectaerosol monitoring
dc.subjectoptical radar
dc.subjectdusts
dc.subjectdatasets
dc.subjectsatellites
dc.subjectatmospherics
dc.subjectmeteorology
dc.subjectoptical properties
dc.subjectbrazil
dc.subjectatmospheric circulation
dc.titleAnalysis of atmospheric aerosol optical properties in the northeast Brazilian atmosphere with remote sensing data from MODIS and CALIOP/CALIPSO satellites, AERONET photometers and a ground-based Lidar
dc.typeArtigo de peri??dico
dc.coverageI


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