INCITE PROJECT
INCITE PROJECT
Optical and physical properties of particles present in the atmosphere plays an important role in the study of climate change processes. In addition, data analysis techniques using computational tools are fundamental for a consistent results. The Scientific Knowledge Exchanging - INCITE project integrates lidar technique measurements applied to atmospheric studies and computational scripts using Python language to provide new knowledge into the role developed by clouds and aerosols in regulating Earth's weather, climate, and air quality.
MAY 28th, 2021
Survey about IDEs used by INCITE members and collaborators
MILGRAU - format and data architecture discussion
Netcdf/ASCII files format
June 11th, 2021
MILGRAU script for lidar analysis - updates
MILGRAU in matlab format - quicklooks and pre-processing data
SPU lidar staton website updates and domain name options
June 11th, 2021
Script in Matlab to read radiosonde data from Wyoming University site
June 25th, 2021
MILGRAU script for lidar analysis - updates
MILGRAU - HTML module for quicklook updates
Lidar equation - introduction to data analysis
October 01st, 2021
Level 1 and Level 2 CALIPSO data analysis - Giovanni
NO2 analaysis using TROPOMI data over São Paulo - Izabel
Aerosol optical properties using lidar data - Jonatan
November 03rd, 2021
Maintenance and updating of SPU lidar station website
LEAL lab informs - Assembly and tests of the Lidar DUSTER. Lab and computers organization.
CALIPSO level 1 data access and total attenuated graphic profiles - INPE collaboration.
November 10th, 2021
Informations and updates of LEAL - Fábio Lopes
Shapefiles and plotting maps using basemap and cartopy packages - Izabel Andrade
ALBACORA campaign - Elaine Araújo and Thaís Corrêa
November 17th, 2021
Processing GHG data from LGR-ICOSTM Microportable Gas Analyzer - Márcia Marques and Thaís Andrade
Reanalysis data from MERRA-2 - Caroline Bresciani
Informations and updates of LEAL - Fábio Lopes