The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP - Part 1: Model descriptions

Details

• Journal Title:
  Geoscientific Model Development
• Personal Author:
  Wang, Jun ; Bhattacharjee, Partha S. ; Tallapragada, Vijay ; Lu, Cheng-Hsuan ; Kondragunta, Shobha ; da Silva, Arlindo ; Zhang, Xiaoyang ; Chen, Sheng-Po ; Wei, Shih-Wei ; Darmenov, Anton S. ; McQueen, Jeff ; Lee, Pius ; Koner, Prabhat ; Harris, Andy
• NOAA Program & Office:
  NWS (National Weather Service) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; OAR (Oceanic and Atmospheric Research) ; EMC (Environmental Modelling Center) ; NCEP (National Centers for Environmental Prediction) ; STAR (Center for Satellite Applications and Research) ; ARL (Air Resources Laboratory)
• Description:
  The NEMS GFS Aerosol Component Version 2.0 (NGACv2) for global multispecies aerosol forecast has been developed at the National Centers of Environment Prediction (NCEP) in collaboration with the NESDIS Center for Satellite Applications and Research (STAR), the NASA Goddard Space Flight Center (GSFC), and the University at Albany, State University of New York (SUNYA). This paper describes the continuous development of the NGAC system at NCEP after the initial global dust-only forecast implementation (NGAC version 1.0, NGACv1). With NGACv2, additional sea salt, sulfate, organic carbon, and black carbon aerosol species were included. The smoke emissions are from the NESDIS STAR's Global Biomass Burning Product (GBBEPx), blended from the global biomass burning emission product from a constellation of geostationary satellites (GBBEP-Geo) and GSFC's Quick Fire Emission Data Version 2 from a polar-orbiting sensor (QFED2). This implementation advanced the global aerosol forecast capability and made a step forward toward developing a global aerosol data assimilation system. The aerosol products from this system have been used by many applications such as for regional air quality model lateral boundary conditions, satellite sea surface temperature (SST) physical retrievals, and the global solar insolation estimation. Positive impacts have been seen in these applications.
• Source:
  Geoscientific Model Development, 11(6), 2315-2332.
• DOI:
  https://doi.org/10.5194/gmd-11-2315-2018
• Document Type:
  Journal Article
• Funding:
  Grant no. NA14OAR4310182 ; Grant no. NA15NWS4680008
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:67479570d1cd9e40781ca38d36b360b25ba29fb4766463c14bdafa4436ebe129
• Download URL:
  https://repository.library.noaa.gov/view/noaa/20426/noaa_20426_DS1.pdf
• File Type:
  [PDF - 2.62 MB ]