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Journal Article: ID no. (ISBN etc.):  0148-0227 BibTeX citation key:  Greed2008a
Greed, G., Haywood, J. M., Milton, S. F., Keil, A., Christopher, S. A., Gupta, P. & Highwood, E. J. (2008) Aerosol optical depths over North Africa: 2. Modeling and model validation. IN Journal of Geophysical Research - Atmospheres, 113. D00C05.
Added by: Devic 2008-09-05 09:00:39    Last Edited by: Fanny Lefebvre 2011-01-21 11:22:36
 B  
Categories: General
Keywords: Aerosol
Creators: Christopher, Greed, Gupta, Haywood, Highwood, Keil, Milton
Collection: Journal of Geophysical Research - Atmospheres
Bibliographies: Prior150410

Peer reviewed
Number of views:  912
Popularity index:  48.15%
Maturity index:  published

 
Abstract
An operational dust forecasting model is developed by including the Met Office Hadley Centre climate model dust parameterization scheme, within a Met Office regional numerical weather prediction (NWP) model. The model includes parameterizations for dust uplift, dust transport, and dust deposition in six discrete size bins and provides diagnostics such as the aerosol optical depth. The results are compared against surface and satellite remote sensing measurements and against in situ measurements from the Facility for Atmospheric Airborne Measurements for a case study when a strong dust event was forecast. Comparisons are also performed against satellite and surface instrumentation for the entire month of August. The case study shows that this Saharan dust NWP model can provide very good guidance of dust events, as much as 42 h ahead. The analysis of monthly data suggests that the mean and variability in the dust model is also well represented.
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Last Edited by: Fanny Lefebvre