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Partner 10 DMI: The Danish Meteorological Institute |
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GEMS Consortium – Partner DMI (Danish Meteorological Institute)
Brief description of institution: DMI has a long-lasting experience in weather forecast, climate and airborne transport modelling including development, running and analysing three-dimensional atmospheric models for both operational use and research in weather forecast, climate change and long-range dispersion, transformation and deposition of pollutants. The DMI version of the High Resolution Limit Area Model (HIRLAM) is run operationally for Denmark (5 km horizontal resolution), Europe (15 km resolution), the Arctic region (50 km), and Greenland (15 km). DMI possesses powerful supercomputers that allow NWP simulation with high spatial resolution. Last year, DMI started to run semi-operationally an experimental version of DMI-HIRLAM over Denmark, with a horizontal resolution of 1.4 km, and the vertical resolution was increased up to 52 vertical levels. DMI has a long-lasting tradition of work on many aspects of air pollution, both nationally and internationally. Air pollution includes all forms of dispersion in the atmosphere of harmful substances or substances causing inconveniences. Beside dealing with common air pollution modelling problems such as smog and ozone arising from emissions from industry, power plants, house warming and urban traffic, DMI works on nuclear emergency and pollen forecasting. DMI has participated or participates in international projects e.g. on tropospheric arctic surface ozone depletion (ARTOC), evaluation of the climate impact of dimethyl sulphide (ELCID), stratospheric arctic ozone depletion (SAMORA, RAMAS), airborne dispersion of foot-and-mouth disease virus and in several projects on nuclear emergency preparedness: ENSEMBLE, RODOS, RTMOD and the European Tracer EXperiment (ETEX). Currently DMI is coordinator of the 5FP EC project FUMAPEX: Integrated Systems for Forecasting Urban Meteorology, Air Pollution and Population Exposure'. DMI is also active in monitoring and forcasting of ozone and UV radiation both on local and global scale and is participating in the EUMETSAT Ozon SAF. Dr. Allan Gross, MSc (1995), PhD (1999), is Senior Scientist at the Meteorological Research Division of the DMI and Research Ass. Prof. at the University of Copenhagen. He has a PhD in Geophysics from the University of Copenhagen in the area of atmospheric chemistry and regional air quality modelling. Has research experience in modelling of stratospheric, tropospheric and atmospheric boundary layer chemistry and transport, and experience with molecular-dynamic modelling and statistical methods used to calculate rate constant for atmospheric chemical reactions. Has published 31 scientific publications, including 12 peer reviewed papers. Participated in many EU-funded projects (e.g. EL CID, SAMORA, RAMAS) and international projects. Dr. Jens Havskov Sørensen, MSc (1988), PhD in physics (1991) from the University of Copenhagen, Research Scientist at the DMI from 1992, and Senior Scientist since 1996. His research activities include local-, meso- and regional-scale numerical modelling of atmospheric dispersion as well as aerosol-size effects on deposition, and planetary boundary layer studies. Developed the Danish Emergency Response Model of the Atmosphere (DERMA), a model which is used operationally for the Danish nuclear emergency preparedness. Participated in many EU funded projects (FUMAPEX, ENSEMBLE, RODOS, RTMOD, ETEX, ARCTOC, EpiMAN) and as national and international projects. He is DMI's key scientist involved in the development of the Danish nuclear emergency preparedness and in the preparedness for airborne veterinary diseases. He has been Chairman of EUMETNET working group on environment for four years. Has published 100 scientific papers, including 30 peer-reviewed papers. Helge Jønch-Sørensen received a PhD in Astronomy at the Copenhagen University in 1994. Since 2000 he has been employed at the DMI as principal scientist for the DMI participation in the EUMETSAT Ozone SAF for which he has developed the Near Real Time UV processor. Since 2001 he has been principal scientist at DMI for the RAMAS (Radiometer for Atmospheric Measurements at Summit) project, developing the software for profile comparison and validation.
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