Chemical weather forecasting: a new concept of integrated modelling

Abstract. During the last decade a new field of atmospheric modelling – the chemical weather forecasting (CWF) – is quickly developing and growing. However, in the most of the current studies and publications, this field is considered in a simplified concept of the off-line running chemical transport models with operational numerical weather prediction (NWP) data as a driver. A new concept and methodology considering the chemical weather as two-way interacting meteorological weather and chemical composition of the atmosphere is suggested and discussed. The on-line integration of mesometeorological models and atmospheric aerosol and chemical transport models gives a possibility to utilize all meteorological 3-D fields in the chemical transport model at each time step and to consider feedbacks of air pollution (e.g. urban aerosols) on meteorological processes/climate forcing and then on the atmospheric chemical composition. This very promising way for future atmospheric simulation systems (as a part of and a step to Earth System Modelling) will lead to a new generation of models for meteorological, environmental and chemical weather forecasting. The methodology how to realise the suggested integrated CWF concept is demonstrated on the example of the European Enviro-HIRLAM integrated system. The importance of different feedback mechanisms for CWF is also discussed in the paper.

[1]  Steven E. Peckham,et al.  Online versus offline air quality modeling on cloud‐resolving scales , 2004 .

[2]  M. Jacobson Control of fossil‐fuel particulate black carbon and organic matter, possibly the most effective method of slowing global warming , 2002 .

[3]  O. Boucher,et al.  Global estimate of aerosol direct radiative forcing from satellite measurements , 2005, Nature.

[4]  Ulrik Smith Korsholm,et al.  On the importance of the meteorological coupling interval in dispersion modeling during ETEX-1 , 2009 .

[5]  Georg A. Grell,et al.  Fully coupled “online” chemistry within the WRF model , 2005 .

[6]  Alexander Baklanov,et al.  Modelling the influence of dimethyl sulphide on aerosol production in the marine boundary layer , 2004 .

[7]  Bent Hansen Sass,et al.  Online coupled chemical weather forecasting based on HIRLAM - overview and prospective of Enviro-HIRLAM , 2008 .

[8]  C. Kottmeier,et al.  A model of dust transport applied to the Dead Sea area , 2006 .

[9]  Alexander Baklanov,et al.  Pollutant transport schemes integrated in a numerical weather prediction model: model description and verification results , 2004 .

[10]  Michael Schulz,et al.  Radiative forcing by aerosols as derived from the AeroCom present-day and pre-industrial simulations , 2006 .

[11]  Rosenfeld,et al.  Suppression of rain and snow by urban and industrial air pollution , 2000, Science.

[12]  A. Clappier,et al.  Towards improving the simulation of meteorological fields in urban areas through updated/advanced surface fluxes description , 2008 .

[13]  Mark Lawrence,et al.  The chemical weather , 2005 .

[14]  V. Ramanathan,et al.  Global and regional climate changes due to black carbon , 2008 .

[15]  Yang Zhang,et al.  Online-coupled meteorology and chemistry models: history, current status, and outlook , 2008 .

[16]  Ulrik Smith Korsholm,et al.  ENVIRO-HIRLAM: on-line coupled modelling of urban meteorology and air pollution , 2008 .

[17]  R. Wolke,et al.  The Chemistry-Transport Modeling System lm-Muscat: Description and citydelta Applications , 2004 .