Create and processing emissions for numeric air quality models

Field observation quick analysis toolkit

GRIB interface for R using ECMWF ecCodes

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].

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.

wrftools

Tools 🧰 to preprocess and post process data for air quality assessment.

A package to evaluate 3d weather and air quality models

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!)

Production code for CMS duration estimation

Create diurnal trend for field campaign data along with some other useful functions

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.

As part of ISRP Project 4, scripts were developed to estimate airborne PCB emissions from Portland Harbor, OR, model their air dispersion with AERMOD, and analyze spatial patterns using Kriging, and sample similarities using PCB congener profiles and cosine theta metrics.