Collaborative development of a Lidar Processing Pipeline
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2021
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WORKSHOP ON LIDAR MEASUREMENTS IN LATIN AMERICA, 11th
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Aerosols, clouds and their interactions are the source of the largest uncertainties in current climate
change estimates. More frequent and higher quality measurement of aerosol, clouds, and the physical processes
governing their link with climate are needed to reduce these uncertainties, and lidars are a powerful instrument
to accomplish this task. However, lidars are generally developed by individual groups for particular applications,
and hence typically have very different characteristics. In this sense, lidar networks play a key role as they
coordinate the efforts of different groups, providing the guidelines for quality-assured routine measurements on
a regional scale. Moreover, a coordinated effort is of utmost importance to homogenize the physical retrievals
from the highly non-uniform instruments in a network. This is only possible with the development of a unified
processing pipeline that accounts for the hardware heterogeneity in the pool of instruments. Here, we describe
an ongoing effort to collaboratively develop a Lidar Processing Pipeline. The LPP is a collection of tools
developed in C++ and Python that are planned to handle all the steps of lidar analysis. A first tool converts the
raw data files into a single NetCDF file, including detailed information about the instrument and acquisition
setup (Level 0 dataset). . Then, this is processed by another tool which applies the necessary corrections and
computes the cloud-mask (Level 1 dataset). The final step is the elastic and/or inelastic retrieval of aerosol
properties (Level 2 dataset). The development of LPP has been based on the existing analysis routines
developed by individual groups, and hence takes advantage of previous efforts for algorithm comparison in the
scope of Lalinet Network. A general concept and first steps of the ongoing project are reported, as well as the
next steps towards the release of the first operational version of the processing pipeline.
Como referenciar
PALLOTTA, JUAN; LOPES, FABIO; BARBOSA, HENRIQUE M.J.; CARVALHO, SILVANIA A.; CACHEFFO, ALEXANDRE; LANDULFO, EDUARDO. Collaborative development of a Lidar Processing Pipeline. In: WORKSHOP ON LIDAR MEASUREMENTS IN LATIN AMERICA, 11th, October 19-22, 2021, Punta Arenas, Chile. Abstract... Punta Arenas, Chile: Universidad de Magallanes, 2021. p. 52-52. Disponível em: http://repositorio.ipen.br/handle/123456789/33316. Acesso em: 30 Dec 2025.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.