Articles | Volume 9, issue 5
Geosci. Model Dev., 9, 1905–1919, 2016
https://doi.org/10.5194/gmd-9-1905-2016
Geosci. Model Dev., 9, 1905–1919, 2016
https://doi.org/10.5194/gmd-9-1905-2016

Model description paper 20 May 2016

Model description paper | 20 May 2016

The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP

Cheng-Hsuan Lu et al.

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Cited articles

Albrecht, B. A.: Aerosols, cloud microphysics and fractional cloudiness, Science, 245, 1227–1230, 1989.
Andreae, M. O. and Crutzen, P. J.: Atmospheric Aerosols: biogeochemical sources and role in atmospheric chemistry, Science, 276, 1052–1054, 1997.
Basart, S., Pérez, C., Nickovic, S., Cuevas, E., and Baldasano, J. M.: Development and evaluation of the BSC-DREAM8b dust regional model over Northern Africa, the Mediterranean and the Middle East, Tellus B, 64, 18539, https://doi.org/10.3402/tellusb.v64i0.18539, 2012.
Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentjes, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold, A., Razinger, M., Simmons, A. J., Suttie, M., and the GEMS-AER team: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation, J. Geophys. Res., 114, D13205, https://doi.org/10.1029/2008JD011115, 2009.
Benedetti, A., Reid, J. S., and Colarco, P. R.: International Cooperative for Aerosol Prediction (ICAP) Workshop On Aerosol Forecast Verification, B. Am. Meteorol. Soc., 92, ES48–ES53, https://doi.org/10.1175/BAMS-D-11-00105.1, 2011.
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Aerosols have an important effect on the Earth's climate and implications for public health. NASA has partnered with NOAA to transfer GOCART aerosol model to NCEP, enabling the first global aerosol forecasting system at NOAA/NCEP. This collaboration reflects an effective research-to-operation transition, paving the way for NCEP to provide global aerosol products serving a wide range of stakeholders and to allow the effects of aerosols on weather and climate prediction to be considered.