Create and processing emissions for numeric air quality models
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Updated
Jul 9, 2023 - R
Create and processing emissions for numeric air quality models
Field observation quick analysis toolkit
GRIB interface for R using ECMWF ecCodes
wrftools
Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters.
Source codes for X-STILT(NOx) [Wu et al., 2018, 2023] based on STILT-R version 2 [Fasoli et al., 2018] and STILT [Lin et al., 2003].
Tools 🧰 to preprocess and post process data for air quality assessment.
Source code for Bayesian urban inversion OSSE [Kunik et al., 2019] written in R and equipped with sample inputs (run it out-of-the-box!)
Created for but not limited to boreal forest wildfires. This repository contains code to calculate the radiative forcing from dry organic matter combustion or other releases of gaseous emissions.
Create diurnal trend for field campaign data along with some other useful functions
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