Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2385-2024
https://doi.org/10.5194/essd-16-2385-2024
Data description paper
 | 
16 May 2024
Data description paper |  | 16 May 2024

Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil

Leonardo Hoinaski, Robson Will, and Camilo Bastos Ribeiro

Data sets

Brazilian Atmospheric Inventories - BRAIN version 1: emission dataset in Brazil Leonardo Hoinaski et al. https://doi.org/10.57760/sciencedb.09858

Brazilian Atmospheric Inventories - BRAIN version 1: emission dataset in Southern Brazil Leonardo Hoinaski et al. https://doi.org/10.57760/sciencedb.09886

Brazilian Atmospheric Inventories - BRAIN version 1: meteorology dataset in Brazil Leonardo Hoinaski and Robson Will https://doi.org/10.57760/sciencedb.09857

Brazilian Atmospheric Inventories - BRAIN version 1: meteorology dataset in Southern Brazil Leonardo Hoinaski and Robson Will https://doi.org/10.57760/sciencedb.09885

Brazilian Atmospheric Inventories - BRAIN version 1: air quality dataset in Brazil Leonardo Hoinaski and Robson Will https://doi.org/10.57760/sciencedb.09859

Brazilian Atmospheric Inventories - BRAIN version 1: air quality dataset in Southern Brazil Leonardo Hoinaski and Robson Will https://doi.org/10.57760/sciencedb.09884

Model code and software

BRAIN codes repository - CMAQ runner Leonardo Hoinaski https://github.com/leohoinaski/CMAQrunner

BRAIN codes repository - Industrial emissions Leonardo Hoinaski https://github.com/leohoinaski/IND_Inventory

leohoinaski/CMAQrunner: CMAQrunner_v1.0 (CMAQrunner_v1.0) Leonardo Hoinaski https://doi.org/10.5281/zenodo.11166975

leohoinaski/IND_Inventory: IND2CMAQ_v1.0 (IND2CMAQ_v1.0) Leonardo Hoinaski https://doi.org/10.5281/zenodo.11167115

Download
Short summary
We introduce the Brazilian Atmospheric Inventories (BRAIN), the first comprehensive database for air quality studies in Brazil. The database encompasses hourly datasets of meteorology, emission sources, and ambient concentrations of multiple air pollutants covering the Brazilian territory. It combines local inventories, consolidated datasets, and internationally recommended models to provide essential data for developing air pollution control policies, even in data-scarce areas.
Altmetrics
Final-revised paper
Preprint