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FUVIRC will serve ecosystem research, human health research and atmospheric chemistry research by providing UV monitoring data and guidance (i.e. calibration of instruments, maintenance of field test sites), research facilities (laboratories and accommodation), instruments and equipment.
The main objective of the facility is to enhance the international scientific co-operation at the seven Finnish research stations and to offer a very attractive and unique place for multidisciplinary environmental and atmospheric research in the most arctic region of the European Union. Factors such as, arctic-subarctic and alpine-subalpine environment, northern populations, arctic winters with snow, changes in the Earth's electromagnetic environment due to external disturbances and exceptionally long series of observations of many ecological and atmospheric variables should interest new users.
GAW serves as an early warning system to detect further changes in atmospheric concentrations of greenhouse gases and changes in the ozone layer, and in the long-range transport of pollutants, including acidity and toxicity of rain as well as the atmospheric burden of aerosols.
The main objective is to study the importance of aerosol particles on climate change and on human health. Particularly, the focus will be on the effect of biogenic aerosols on global aerosol load. During the recent years it has become obvious that homogeneous nucleation events of fresh aerosol particles take frequently place in the atmosphere, and that homogeneous nucleation and subsequent growth have significant role in determining atmospheric aerosol load. In order to be able to understand this we need to perform studies on formation and growth of biogenic aerosols including a) formation of their precursors by biological activities, b) related micrometeorology, c) atmospheric chemistry, and d) atmospheric phase transitions. Our approach covers both experimental (laboratory and field experiments) and theoretical (basic theories, simulations, model development) approaches.
The main objective is to establish a scientific basis for the detection of the earliest signs of ozone recovery due to Montreal protocol and its amendments. To achieve this we will select the best long-term ozone and meteorological data sets available (by ECMWF and NCEP). Ozone data will be studied by using advanced multiple regression methods developed in this project. Meteorological data would allow to determine the dynamical changes and trends and assess their role in re-distribution of stratospheric ozone in recent decades and in order to force the Chemical Transport Models to assess the relative roles of chemistry and transport in ozone changes. Finally, the synthesis of the key objectives will improve the attribution of observed ozone changes to anthropogenic influences and to the variations in a natural atmosphere.