Controle de qualidade de dados de um sistema LIDAR troposférico pela análise de parâmetros ópticos atmosféricos e instrumentais via protocolos das redes LALINET E EARLINET
Observational data acquisition related to atmospheric aerosols is relevant for the progress in research to investigate their influence on climate change related processes. Due to their optical properties, they can interfere with the radiative balance and with cloud microphysics changing their dim...
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| Formato: | Dissertação |
| Idioma: | por |
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Brasil
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/26164 |
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| Resumo: | Observational data acquisition related to atmospheric aerosols is relevant for the
progress in research to investigate their influence on climate change related
processes. Due to their optical properties, they can interfere with the radiative
balance and with cloud microphysics changing their dimensions and lifetimes. The
active remote sensing system Light Detection and Ranging (LIDAR), called DUSTER,
located in Natal, capital of Rio Grande do Norte, Brazil, sends laser pulses to the
atmosphere and detects aerosols optical characteristics through their interaction with
light. This research had two main foci: the first one is the LIDAR DUSTER quality
assurance during the operational acquisition campaigns. The assurance was made
by the following instrumental tests: Dark Measurment, Zero Bin, Bin-Shift, Telecover
and Rayleigh Fit according to the Latin America LIDAR Network (LALINET) and the
European Aerosol Research LIDAR Network (EARLINET) standards. By means of
these tests it was possible to detect noises, recorder delays and check de alignment
in near and far range. A set of algorithms called DUSTER Quality Assurance (DQA),
with modules which read the instrumental quality test data, pre-processed data,
generate graphics and write the results in ASCII format were developed. The results
point that the errors relative to the alignment testes, Telecover and Rayleigh Fit, are
less than 0.1 in most of the channels. The second focus was to compare
tropospheric aerosol backscatter profiles by the Klett-Fernald-Sasano inversion
method in two different tools: The Single Calculus Chain and the LALINET Inversion
Algorithm. Two days of data acquisition with 1064 nm wavelength were selected to
acquire the profiles. The computation happened by means of the relative error
among the profiles. The relative error profiles varied among 0 and 10% on the two
days. In the context of this work, a cloud filter was developed, the DUSTER Cloud
Free filter, which removes cloud contaminated files automatically. |
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