Compared dust forecasts
by
Francesco Benincasa
—
last modified
Jun 17, 2013 09:55 AM
Date:
H+
| Document on Model Intercomparison | Forecast evaluation | Multimodel Products |
|---|
NOTE: Click on the images to enlarge.
Dust optical depth:
Dust surface concentration:
Products from different numerical prediction models are represented at a common geographical domain, which is intended to cover the main source areas, as well as the main transport routes and deposition zones in the region. Products with lead time up to 72 hours are represented using common color palettes.
It is important to bear in mind that dust models may have very different characteristics (global or regional, horizontal and vertical resolutions, dust emission and deposition parameterizations, presence or absence of dust assimilation, feedback to the meteorological model, ...). Information on the models characteristics can be found on their respective websites and in the literature.
IMPORTANT: Please note that some of these predictions are experimental and are produced for research purposes only.
- Pérez, C., S. Nickovic, G. Pejanovic, J. M. Baldasano and E. Özsoy (2006) Interactive dust-radiation modeling: A step to improve weather forecasts, J. Geophys. Res., 111, D16206, doi:10.1029/2005JD006717.
- Basart, S., Pérez, C., Nickovic, S., Cuevas, E., and Baldasano, J. M. (2012): Development and evaluation of the BSC-DREAM8b dust regional model over Northern Africa, the Mediterranean and the Middle East, Tellus B, 64, 18539.
- Morcrette, J.-J., O. Boucher, L. Jones, D. Salmond, P. Bechtold, A. Beljaars, A. Benedetti, A. Bonet, J. W. Kaiser, M. Razinger, M. Schulz, S. Serrar, A. J. Simmons, M. Sofiev, M. Suttie, A. M. Tompkins, and A. Untch (2009), Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part I: Forward modelling, J. Geophys. Res., 114, D06206, doi:10.1029/2008JD011235.
- Benedetti, A., J.-J. Morcrette, O. Boucher, A. Dethof, R. J. Engelen, M. Fisher, H. Flentjes, N. Huneeus, L. Jones, J. W. Kaiser, S. Kinne, A. Mangold, M. Razinger, A. J. Simmons, M. Suttie, and the GEMS-AER team (2009), Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part II : Data assimilation, J. Geophys. Res., 114, D13205, doi:10.1029/2008JD011115.
- Schulz M., A. Cozic and S. Szopa (2009), LMDzT-INCA dust forecast model developments and associated validation efforts, IOP Conf. Ser.: Earth Environ. Sci. 7 012014, doi:10.1088/1755-1307/7/1/012014.
- Balkanski, Y., M. Schulz, T. Claquin and S. Guibert (2006), Reevaluation of mineral aerosol radiative forcings suggests a better agreement with satellite and AERONET data, Atmos. Chem. Phys., 7, 81-95, doi:10.5194/acp-7-81-2007.
- Nickovic, S., G. Kallos, A. Papadopoulos and O. Kakaliagou (2001), A model for prediction of desert dust cycle in the atmosphere, J. Geophys. Res., 106, 18113 - 18129.
- Xie, J., C. Yang, G. Pejanovic, B. Zhou and Q. Huang (2008) Utilize multi CPU cores to improve dust simulation performance, Eos Trans. AGU, 89(53), Fall Meet. Suppl., Abstract: IN23C-1103.
- Bessagnet, B., L. Menut, G.Curci, A.Hodzic, B.Guillaume, C.Liousse, S.Moukhtar, B.Pun, C.Seigneur and M. Schulz (2009), Regional modeling of carbonaceous aerosols over Europe - Focus on Secondary Organic Aerosols, J. Atmos. Chem., 61, 175-202.
- Menut, L., I. Chiapello and C. Moulin (2009), Previsibility of mineral dust concentrations: The CHIMERE-DUST forecast during the first AMMA experiment dry season , J. Geophys. Res. - Atmospheres, 114, D07202, doi:10.1029/2008JD010523
- Pérez, C., K. Haustein; Z. Janjic; O. Jorba; N. Huneeus; J. M. Baldasano; T. Black; S. Basart; S. Nickovic; R. L. Miller; J. P. Perlwitz; M. Schulz and M. Thomson (2011), Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model - Part 1: Model description, annual simulations and evaluation, Atmos. Chem. Phys., 12, 13001-13027, doi:10.5194/acp-11-13001-2011
- Haustein, K., C. Pérez, J. M. Baldasano, O. Jorba, S. Basart, R. L. Miller, Z. Janjic, T. Black, S. Nickovic, M. C. Todd, R. Washington, D. Müller, M. Tesche, B. Weinzierl, M. Esselborn and A. Schladitz (2011), Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model - Part 2: Experimental campaigns in Northern Africa, Atmos. Chem. Phys., 12, 2933-2958, doi:10.5194/acp-12-2933-2012, 2012.
- Woodward, S (2011), Mineral dust in HadGEM2, Tech. Note 87, Hadley Cent., Met Office, Exeter, UK
- Woodward, S, (2001), Modeling the atmospheric life cycle and radiative impact of mineral dust in the Hadley Centre climate model, J. Geophys. Res., 106, D16, doi: 10.1029/2000JD900795
- Colarco, P.R., A. da Silva, M. Chin, and T. Diehl (2010), Online simulations of global aerosol distributions in the NASA GEOS-4 model and comparisons to satellite and ground-based aerosol optical depth, J. Geophys. Res. doi:10.1029/2009JD012820
- Lu et al. (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.
______________________