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.
Detailed description and sample products
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.
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; leveraging existing Python packages for easy searching and grouping; and analyzing and visualizing data.
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 – 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 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.