MARCIA TALITA AMORIM MARQUES

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2016 - 20183
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Autor: GREGORI DE ARRUDA MOREIRA × Tipo de acesso: openAccess ×

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Agora exibindo 1 - 3 de 3
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    Artigo IPEN-doc 24756
    Estimating the planetary boundary layer height from radiosonde and doppler lidar measurements in the city of São Paulo - Brazil
    2018 - MARQUES, MARCIA T.A.; MOREIRA, GREGORI de A.; PINERO, MACIEL; OLIVEIRA, AMAURI P.; LANDULFO, EDUARDO
    This study aims to compare the planetary boundary layer height (PBLH) values estimated by radiosonde data through the bulk Richardson number (BRN) method and by Doppler lidar measurements through the Carrier to Noise Ratio (CNR) method, which corresponds to the maximum of the variance of CNR profile. The measurement campaign was carried during the summer of 2015/2016 in the city of São Paulo. Despite the conceptual difference between these methods, the results show great agreement between them.
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    Artigo IPEN-doc 24750
    Rehearsal for assessment of atmospheric optical properties during biomass burning events and long-range transportation episodes at metropolitan area of São Paulo-Brazil (RAPEL)
    2018 - LOPES, FABIO J.S.; GUERRERO-RASCADO, JUAN L.; BENAVENT-OLTRA, JOSE A.; ROMAN, ROBERTO; MOREIRA, GREGORI A.; MARQUES, MARCIA T.A.; SILVA, JONATAN J. da; ALADOS-ARBOLEDAS, LUCAS; ARTAXO, PAULO; LANDULFO, EDUARDO
    During the period of August-September 2016 an intensive campaign was carried out to assess aerosol properties in São Paulo-Brazil aiming to detect long-range aerosol transport events and to characterize the instrument regarding data quality. Aerosol optical properties retrieved by the GALION - LALINET SPU lidar station and collocated AERONET sunphotometer system are presented as extinction/ backscatter vertical profiles with microphysical products retrieved with GRASP inversion algorithm.
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    Resumo IPEN-doc 23292
    Atmospheric stability using Doppler Wind Lidar profiler: a Case Study in Florianópolis Island
    2016 - SANTOS, P.A.A.; SAKAGAMI, Y.; HAAS, R.; PASSOS, J.C.; TAVES, F.F.; NASSIF, F.; MOREIRA, A.; MOREIRA, G.A.; MARQUES, M.T.A.; BEU, C.; LANDULFO, E.
    The effects of atmospheric stability can be important for many wind energy applications. This work aims to investigate the atmospheric stability using two Doppler wind lidar profilers based on a simple method that analyses how the wind shear variates with height. The experiment was carried on Florianopolis Island, located in the south coast of Brazil. The dataset covered a period from December 2014 to February 2015. The Windcube08 lidar has a range from 40m to 500m and the Windcube70 lidar was setup to range from 100m to 1000m. Both lidars recorded a 10min average wind speed with a vertical resolution of 20m. In addition, a 3D sonic anemometer measured turbulent fluxes at 20Hz. The method evaluated the variation of wind shear with height and was associated with the stability classes based on Obukhov Length. The wind speed of the two lidars was compared at 100m, 200m, 300m, 400m and 500m. This comparison showed an excellent agreement, with values better than R2=0.996 and RMSE=0.15 m/s. The results of wind profile indicated an unique condition at night, where were consistently observed convective wind profiles from 40m to 120m and stratified flow above 120m. Then, the presented method was adjusted to consider wind profile heights from 120m to 300m. The analysis of the atmospheric stability also presented a good agreement when comparing both lidars. The Very stable, stable and near stable conditions represented 41,2% (Windcube08) and 27,6% (Windcube70). On the other hand, the unstable condition was dominated by a very unstable condition with 21% and 38,7%, respectively. The neutral condition was the most frequent with 36,8% and 32,2%, respectively. The results of atmospheric stability classes diverged between the two lidars from 5h to 10h UTC, because of differences on wind speed average of around -0.8 m/s from 100m to 200m. In conclusion, the site presented specific conditions, which showed the challenges to propose an universal method to estimate the atmospheric stability using only doppler wind lidar data. However, the method achieved good agreement when comparing the wind profile with the atmospheric stability classes.