The THOR integrated air pollution forecast and scenario system

Jørgen Brandt and Jesper H. Christensen

National Environmental Research Institute

Frederiksborgvej 399, P.O.Box 358

DK-4000, Roskilde, Denmark.

An integrated weather and air pollution forecast and scenario model system, THOR, for air pollution applications has been developed. The model system includes several meteorological and air pollution models capable of operating for different applications – ranging from hemispheric scale over European and urban background scales to urban street scale. Coupling models over different scales, makes it possible to account for contributions from local, near-local as well as remote emission sources in order to describe the air quality at a specific location - e.g. in a street canyon. The main purposes of the system are forecasting, nowcasting, emission reduction scenarios, retrospective analysis and air pollution assessments. Furthermore, the system is used in connection with the urban and background monitoring programs in Denmark.

This system of models is used to produce 3 days (72 hours) weather and air pollution forecasts, 4 times every day (starting at 00 UTC, 06 UTC, 12 UTC and 18 UTC). Visualizations and animations of these forecasts can be chosen for every 6 hours; from 00 to 72 hours after the start. The forecasts are normally finished at around 8 am, 2 pm, 8 pm and 2 am (CET).

The air pollution models described in the following, have been developed at DMU-ATMI:

The used weather forecast model at the THOR-DMU system:

Global meteorological data is obtained from NCEP. These data are used as input to the Eta model, which calculates 3 days high-resolution regional weather forecasts. The weather forecast are then used in a series of regional and hemispheric air pollution models (DEOM, DREAM and DEHM). It will be possible in the future to run both the Eta (or MM5) and DEHM/REGINA as nested models with a finer resolution over a limited area as e.g. Denmark. The European air pollution background values calculated by DEOM are used as input to the urban background model (BUM) (currently for the cities of Copenhagen, Aalborg and Berlin), and the Operational Street Pollution Model (OSPM) for calculation of air pollution forecasts at street level in major cities (currently 11 streets in Copenhagen and 10 streets in Aalborg). Different visualization and animation tools in 1, 2 and 3 dimensions are applied for presentation of the output from all the models.

The whole system has been optimized to run operational and fully automized on a powerfull local compaq alpha server ES45 with two 1Ghz processors with Tru64 UNIX. The models are parallelized by using OPENMP statements. The computing time for a three days forecast with the different models are: 45 minutes for the weather forecast, total 15 minutes for DEOM, BUM and OSPM, while the computing time for the 3-D air pollution model DEHM is 45 minutes and 15 minutes for the accidental release model DREAM.