Improving global chemical weather forecast with modern online-coupled models for the U.S. Next Generation Global Prediction System (NGGPS)
- 1CIRES, University of Colorado Boulder, Boulder, CO, USA
- 2NOAA Earth System Research Laboratory, Boulder, CO, USA
- 3NOAA National Center for Weather and Climate Prediction, College Park, MD, USA
- 4I. M. Systems Group at NOAA/NWS/NCEP/EMC, Rockville, MD, USA
- 5NOAA National Weather Service, College Park, MD, USA
- 6NOAA Air Resources Laboratory, College Park, MD, USA
- 7Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
- 8NOAA Environmental Modeling Center, College Park, MD, USA
- 9EPA, Research Triangle Park, NC, USA
Significant progress has been made within the last couple of years towards developing online coupled systems aimed at providing more accurate descriptions of atmospheric chemistry processes to improve performance of global aerosol and air quality forecasts. Operating within the U.S. National Weather Service (NWS) research-to-operation initiative to implement the fully-coupled Next Generation Global Prediction System (NGGPS), cooperative development efforts have delivered two integrated online global prediction systems for aerosols (GEFS-Aerosols) and air quality (FV3GFS-AQM). These systems include recent advances in aerosol convective transport and wet deposition processes introduced into the SAS scheme of the National Center for Environmental Prediction’s (NCEP) latest Global Forecast System (GFS) based on the Finite-Volume cubed-sphere dynamical core (FV3). GEFS-Aerosols is slated to become the new control member of the NWS Global Ensemble Forecast System (GEFS). The model features an online-coupled version of the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model with a biomass-burning, plume-rise model and recent advances from NOAA Earth System Research Laboratory (ESRL), along with a state-of-the-art FENGSHA dust scheme from NOAA Air Resource Laboratory (ARL). FV3GFS-AQM incorporates a coupled, single-column adaptation of the U.S. Environmental Protection Agency’s (EPA) Community Multiscale Air Quality (CMAQ) model to improve NOAA’s current National Air Quality Forecast Capability (NAQFC). Both coupled systems’ design and development benefited from the use of the National Unified Operational Prediction Capability (NUOPC) Layer, which provided a common model architecture for interoperable, coupled model components within the framework of NOAA’s Environmental Modeling System (NEMS). Results from each of the described coupled systems will be discussed.
How to cite: Montuoro, R., Grell, G., Zhang, L., McKeen, S., Frost, G., Ahmadov, R., Henderson, J., McQueen, J., Pan, L., Bhattacharjee, P., Kain, J., Baker, B., Stajner, I., Wang, J., DeLuca, C., Pleim, J., and Wong, D.: Improving global chemical weather forecast with modern online-coupled models for the U.S. Next Generation Global Prediction System (NGGPS), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11807, https://doi.org/10.5194/egusphere-egu2020-11807, 2020.
This abstract will not be presented.