NACC Cloud
NACC Cloud couples National Weather Model GFSv16 data to a state-of-the-science CMAQ model for regional air quality modeling applications. NACC Cloud offers streamlined access to the near-real-time GFS forecasts NACC processed to generate the model-ready, meteorological input for any U.S. EPA Community Multiscale Air Quality (CMAQ ) domain and air quality application worldwide.
Canopy-App
Canopy-App models complex in-canopy effects in regional-to-global weather and atmospheric composition applications under the UFS, building on established canopy parameterizations. Canopy-App uses relatively simple plant shape distribution functions for different vegetation types and computes select variables and adjustment factors used for efficiently modulating atmospheric quantities (such as gas-phase chemical species) due to vertically resolved canopy effects.
Model and ObservatioN Evaluation Toolkit (MONET)
MONET, developed at NOAA Air Resources Laboratory, is used to evaluate gridded chemical transport and weather models. MONET is designed to be a modularized Python package for pairing model output to observational data in space and time. It leverages existing Python packages for easy searching and grouping and analyzing and visualizing data.
Model and ObservatioN Evaluation Toolkit Input Output (MONETIO)
MONETIO, developed at NOAA Air Resources Laboratory, is an open source python package to process a variety of chemical transport models and air composition measurements.
MELODIES MONET
MELODIES MONET is a diagnostic tool for evaluating models against a variety of observations including surface, aircraft, and satellite data all within a common framework. A joint project between NSF NCAR and NOAA, MELODIES MONET integrates existing and future diverse atmospheric chemistry observational datasets with chemistry model results for the evaluation of air quality and atmospheric composition.
The NOAA Emission and Exchange Unified System (NEXUS)
Emissions are a central component of atmospheric chemistry models. The NOAA Emissions and eXchange Unified System (NEXUS) at ARL is an application of the Harmonized Emissions Component (HEMCO) into the NOAA’s Unified Forecast System (UFS) architecture. HEMCO is a software component for computing emissions from a user-selected ensemble of emission inventories and algorithms. It allows users to re-grid, combine, overwrite, subset, and scale emissions from different inventories through a configuration file and with no change to the model source code.
More Tools
GDAS CMAQ Preprocessor
The Global Data Assimilation System (GDAS) Preprocessor is a Python tool for processing GDAS data for use with the Community Multiscale Air Quality (CMAQ) modeling system. Github Link
SWAMP
A Soil Water Analysis Model Product (SWAMP) that was developed by NOAA ARL. Github Link
FIRA
The Fire Intensity and spRead forecAst (FIRA) is a repository for a fire spread forecast model, generating hourly fire radiative power prediction for air quality forecasting applications. Github Link
FYAML
FYAML is a feature-rich YAML parser written in modern Fortran, supporting complex data structures and designed for scientific computing applications. Github link
PYTSPACK
Phython interface to the Fortran TSPACK library. Github Link