Rapid Refresh with Chemistry
Real time forecasts predicting weather and air quality
The Rapdi Refresh model is used to predict air pollution. The forecast model based on the
Weather Research and Forecasting (WRF) coupled with chemistry via the
RACM chemical mechanism incuding MOSAIC/VBS for better prediction of secondary orangic aerosols (SOA).
In addition, the forecasts include:
- MEGAN biogenic emissions,
- NEI and RETRO/EDGAR anthropogenic emissions,
- Chemical deposition,
- Convective and turbulent chemical transport,
- Advective chemical transport performed simulataneously with the meteorology ("online"),
- Lateral chemical boundary conditions obtained from RAQMS model real time forecasts.
For a more detailed description of the meteorology model,
one may go to the Rapid Refresh model web page or to the
WRF/Chem web page for a description of the chemistry model.
In addition to the forecasts shown below, the High-Resolution Rapid Refresh with chemistry (HRRR-Chem) is being run in
real time on a high resolution domain over the
western region of the US. Output from the forecasts are available under the
HRRR-Chem web page.
The RR-Chem forecasts are run twice a day - 00 and 12 UTC. A few plots from the model forecasts are provided below.
- A 13 km air quality forecast runs out to 48 h with 3 h forecast intervals.
13 km RR-CHEM air quality and weather forecast using RACM-SOA-VBS with MADE/SORGAM
This model is run on NOAA/ESRL's 64-bit supercomputer. Meteorological
initial and boundary conditions come from the GFS model forecasts.
For air quality forecasts, the chemistry fields produced by a previous 12 h forecast are used to initiallize
each new forecast. Anthropogenic emissions data for CONUS are from an improved EPA NEI-11 (National Emissions Inventory, 2011) data set
with RETRO/EDGAR emissions used elsewhere.
This page developed by
The real-time air quality prediction experiment is set up and run by
Georg Grell and
Last modified: Monday, 9 Jul 2013