Banca de DEFESA: MARCOS PAULO ARAÚJO DA SILVA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : MARCOS PAULO ARAÚJO DA SILVA
DATA : 31/08/2018
HORA: 14:00
LOCAL: Auditório do Sedis
TÍTULO:

Quality Assurance of a Tropospheric LIDAR by Optical and Instrumental Parameters per Protocols of the LALINET and EARLINET Networks

 

 

PALAVRAS-CHAVES:

Klett-Fernald-Sasano Inversion, Backscattering Profiles, Atmospheric Aerosols, LIDAR quality assurance.

PÁGINAS: 96
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Geociências
RESUMO:

Observational data acquisition related to atmospheric aerosols is relevant for the progress in research on 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-process 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 wave length 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. This research also shows for the first time the filter Duster Cloud Free wich removes cloudy files automatically, assisting in the LIDAR data treatment for later obtaining of products.

MEMBROS DA BANCA:
Externo à Instituição - EDUARDO LANDULFO - IPEN
Externo à Instituição - FÁBIO JULIANO DA SILVA LOPES - IPEN
Presidente - 1879213 - JUDITH JOHANNA HOELZEMANN
Externo à Instituição - MARIA PAULETE PEREIRA MARTINS - INPE