NEMS GFS Aerosol Component

Attention: The NCEP FTP data server will be discontinued on Aug 18, 2015, the operational NGAC data is going to be moved to NCEP NOMADS server:

Welcome to the operational web site of the NEMS GFS Aerosol Component (NGAC) in NCEP

NEMS GFS Aerosol Component (NGAC) is a global aerosol forecast system where NCEP has adopted NASA GOCART model in NEMS GFS for forecasting dust, sulfate, sea salt, and carbonaceous aerosols. Development and planned operational implementation of the NGAC represents a successful three-year "research to operations" project sponsored by NASA Applied Science Program, Joint Center for Satellite Data Assimilation (JCSDA), and NOAA National Weather Service (NWS).

Pre-implementation NGAC v2 NRT forecasts

Click here for daily forecasts and verifications

Brief NGAC Facts

Future operational benefits associated with NGAC

  • Enables future operational global short-range (e.g., 5-day) aerosol prediction
  • Provides global aerosol information required for various applications (e.g., satellite radiance data assimilation, satellite retrievals, SST analysis, UV-index forecasts)
  • Provides a first step toward an operational aerosol data assimilation capability at NCEP
  • Allows NOAA to explore aerosol-chemistry-climate interaction in the operational Climate Forecast System (CFS)--- Note that GFS is a candidate for the AGCM component of the next version of the CFS.
  • Provides lateral aerosol boundary conditions for regional aerosol forecast system

  • Documentations

    Publications and References

  • Lu, C.-H., A. da Silva, J. Wang, S. Moorthi, M. Chin, P. Colarco, Y. Tang, P. S. Bhattacharjee, S.-P. Chen, H.-Y. Chuang, H-M. H. Juang, J. McQueen, and M. Iredell, 2016: The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP, Geosci. Model Dev. Discuss., 9, 1-37.
  • Lu, S., H-C Huang, Y-T Hou, Y. Tang, J. McQueen, A. da Silva, M. Chin, E. Joseph, and W. Stockwell, 2010: Development of NCEP Global Aerosol Forecasting System: An overview and its application for improving weather and air quality forecasts, NATO Science for Peace and Security Series: Air Pollution Modeling and Its Application XX, 451-454, doi:10.1007/978-90-481-3812-8.
  • Lu, S., Iredell, M., Wang, J., Moorthi, S., McQueen, J., Chuang, H.-Y., Hou, Y.-T., H. Juang, H., Yang, W., da Silva, A., Chin, M. 2013: The NEMS GFS Aerosol Component: NCEP's global aerosol forecast system, NCEP Office Note 472, 26 pp
  • Benedetti, A., J.M. Baldasano, S. Basart, F. Benincasa, O.Boucher, M. Brooks, J.-P. Chen, P.R. Colarco, S. Gong, N. Huneeus, L. T. Jones, S. Lu, L. Menut, J.-J. Morcrette, J. Mulcahy, S. Nickovic, C. Perez Garcia-Pando, J.S. Reid, T.T. Sekiyama, T.Y. Tanaka, E. Terradellas, D.L. Westphal, X.-Y. Zhang, and C.-H. Zhou, 2014: Operational Dust Forecasting, Chapter 10 in: Knippertz, P.; Stuut, J.-B.(eds.), Mineral Dust: A Key Player in the Earth System, Springer Netherlands, 121-148, ISBN 978-94-017-8977-6. doi:10.1007/978-94-017-8978-3_10.
  • Sessions, W. R., J. S. Reid, A. Benedetti, P. R. Colarco, A. da Silva, S. Lu, T. Sekiyama, T.Y. Tanaka, J. M. Baldasano, S. Basart, M. E. Brooks, T. F. Eck, M. Iredell, J. A. Hansen, O. C. Jorba, H.-M. H. Juang, P. Lynch, J-J Morcrette, S. Moorthi, J. Mulcahy, Y. Pradhan, M. Razinger, C. B. Sampson, J. Wang, and D. L. Westphal, 2015: Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME), Atmos. Chem. Phys., 15, 355-362, doi:10.5194/acp-15-335-2015.