Scripts to reproduce figures and results of "From Global to local: A multi-scale air quality modeling study over the Metropolitan Area of São Paulo"
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01_Ibirapuera_20yrs_data: Example on how to usequalR, and how to make the concentration trend plot Figure in Introduction section. -
02_CETESB_data: We usedqualar_pyfromwrf_sp_evalmodule to download the data for models performance evaluation. -
03_CAM-Chem_scripts: Scripts to compare CAM-Chem simulation against CETESB air quality measurements. -
04_Vehicular_Emissions: We described how we temporally and spatially disaggregate vehicular emissions in WRF-Chem domain by using road length information. There are also scripts to combine local vehicular emissions withwrfchemi_d0xfiles from global emissions inventories produced by ANTHRO_EMISS. -
05_WRF-Chem_scripts: Scripts to compare WRF-Chem simulations against CETESB meteorological and air quality measurements. -
MUNICH_VEIN_SP: Here are the scripts to work with MUNICH over São Paulo.
Other useful tools:
qualR: An R package to download São Paulo air pollution data.PyChEmiss: A Python emissions preprocessor for WRF-Chem regional modeling.wrf_sp_eval: Tools to perform WRF-Chem model evaluation in São Paulo State.