Validação dos dados do satélite CALIPSO utilizando um sistema lidar de retroespalhamento elástico e o fotômetro solar da rede  AERONET

Lopes, Fernando Silva

doi:10.11606/t.85.2011.tde-28092011-103209

Cited by 1 publication

(2 citation statements)

References 57 publications

(110 reference statements)

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“…An eligible correlation is considered in the interval of 6 h with distances up to 120 km [53]. This distance was obtained from the CALIPSO OVERpass Locator Algorithm (COVERLAI) by [54], adapted to the region. According to [54] and [55], the correlation between instrument measurements on board of satellites and those that are ground-based decreases by 20% at distances above 200 km, and by 10% at distances up to 140 km, within an hour of difference.…”

Section: Analyses Over Two Distinct Cities In the Neb Regionmentioning

confidence: 99%

“…This distance was obtained from the CALIPSO OVERpass Locator Algorithm (COVERLAI) by [54], adapted to the region. According to [54] and [55], the correlation between instrument measurements on board of satellites and those that are ground-based decreases by 20% at distances above 200 km, and by 10% at distances up to 140 km, within an hour of difference. Besides the analysis of AOD and Lidar Ration (LR), backscatter profiles from DUSTER/Lidar and from CALIOP were compared, only when the smallest distance between the satellite footprint and the DUSTER (around 60 km), was observed.…”

Section: Analyses Over Two Distinct Cities In the Neb Regionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis 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

et al. 2019

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A 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 different 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 Angström 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.

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