Articles | Volume 11, issue 24
Atmos. Chem. Phys., 11, 13001–13027, 2011
Atmos. Chem. Phys., 11, 13001–13027, 2011

Research article 21 Dec 2011

Research article | 21 Dec 2011

Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model – Part 1: Model description, annual simulations and evaluation

C. Pérez1,2,3, K. Haustein4, Z. Janjic5, O. Jorba4, N. Huneeus6, J. M. Baldasano4,7, T. Black5, S. Basart4, S. Nickovic8, R. L. Miller1,2, J. P. Perlwitz1,2, M. Schulz6, and M. Thomson3 C. Pérez et al.
  • 1NASA Goddard Institute for Space Studies, New York, USA
  • 2Department of Applied Physics and Applied Math, Columbia University, New York, USA
  • 3International Research Institute for Climate and Society, Palisades, New York, USA
  • 4Barcelona Supercomputing Center – Centro Nacional de Supercomputación, Barcelona, Spain
  • 5National Centers for Environmental Prediction, Camp Springs, Maryland, USA
  • 6Laboratoire des Sciences du Climat et de l'Environnement, L'Orme de Merisier, Gif sur Yvette, France
  • 7Universitat Politecnica de Catalunya, Barcelona, Spain
  • 8World Meteorological Organization, Geneva, Switzerland

Abstract. We describe and evaluate the NMMB/BSC-Dust, a new dust aerosol cycle model embedded online within the NCEP Non-hydrostatic Multiscale Model (NMMB). NMMB is a further evolution of the operational Non-hydrostatic Mesoscale Model (WRF-NMM), which together with other upgrades has been extended from meso to global scales. Its unified non-hydrostatic dynamical core is prepared for regional and global simulation domains. The new NMMB/BSC-Dust is intended to provide short to medium-range weather and dust forecasts from regional to global scales and represents a first step towards the development of a unified chemical-weather model. This paper describes the parameterizations used in the model to simulate the dust cycle including sources, transport, deposition and interaction with radiation. We evaluate monthly and annual means of the global configuration of the model against the AEROCOM dust benchmark dataset for year 2000 including surface concentration, deposition and aerosol optical depth (AOD), and we evaluate the daily AOD variability in a regional domain at high resolution covering Northern Africa, Middle East and Europe against AERONET AOD for year 2006. The NMMB/BSC-Dust provides a good description of the horizontal distribution and temporal variability of the dust. Daily AOD correlations at the regional scale are around 0.6–0.7 on average without dust data assimilation. At the global scale the model lies within the top range of AEROCOM dust models in terms of performance statistics for surface concentration, deposition and AOD. This paper discusses the current strengths and limitations of the modeling system and points towards future improvements.

Final-revised paper