Two forecasts are run twice a day (40 vertically stretched levels):
This model is run on ESRL's 64-bit supercomputer. Meteorological initial conditions come from ESRL's RUC model and boundary conditions are generated from NCEP's WRF forecasts. For air quality forecasts, the chemistry fields produced by a previous 12 h forecast are used to initiallize each new 36-hour forecast. Anthropogenic emissions data are from an improved EPA NEI-99 (National Emissions Inventory, 1999) data set including some recent updates and have been prepared for the model by Stu McKeen of the NOAA Chemical Sciences Division.
This model is run on ESRL's 64-bit supercomputer. Meteorological initial conditions come from ESRL's RUC model and boundary conditions are generated from NCEP's WRF forecasts just as the 36-km forecast. Likewise, the anthropogenic emissions data comes from the updated NEI-99 data set. The key addition with this forecast is the inclusion of fire emissions. (This work was done in cooperation with CPTEC, Brazil and ARSC, Fairbanks, AK.) Fire, or biomass burning, data is obtained from the GOES WF-ABBA satellite data made available from the "Cooperative Institute for Meteorological Satellite Studies at the University of Wisconsin-Madison.
This page developed by
Bill Moninger and
The real-time air quality prediction experiment is set up and run by Georg Grell and Steven Peckham.
Last modified: Friday, 18 Jul 2008