Projects within meteorological research

Research projects focusing on the formation of secondary aerosol particles from gases provide new tools for describing the formation dynamics.

The SMHI meteorological group is involved in the Nowcasting Satellite Application Facilities (NWC SAF) initiated by EUMETSAT. The NWC SAF derive and develop products for nowcasting and very short range forecasting.

BRIGHT: Advancing knowledge and tools for the adaptation of Swedish cities to heat.

The BioDiv-Support research program started in 2019, involving eight partners from five European countries. The research project is in its final phase and this newsletter provides a summary of the results achieved in the project.

In 2021 Copernicus Climate Change Service released the dataset CARRA1, with a 30-year reanalysis of the Arctic climate (1991-2021). The CARRA dataset is now updated monthly, providing new data with three or fewer months latency. The second phase of the project has started, which will extend the …

CERISE aims to enhance the quality of C3S climate reanalyses and seasonal forecast products.

The CM SAF project is generating, evaluating and archiving high-quality cloud products from satellite data. The products allow detailed analyses of cloud conditions and cloud properties, atmospheric radiation (radiation budget components at surface and at top of atmosphere) and the atmospheric …

In a research project, SMHI and Gothenburg University cooperates to discover how indoor ventilation affects the transmission of virus causing infectious diseases.

The aim of the project is to evaluate and improve numerical models that can describe dust-emissions in both air quality and climate models using observations.

MetCoOp is a cooperation between SMHI, MET Norway, the Finnish Meteorological Institute FMI and Estonia Environment Agency ESTEA. The primary goal of the collaboration is to provide a state-of-the-art operational short- and very short-range numerical weather prediction (NWP) …

As the energy system is becoming more complex and weather dependent, weather forecasts are of essential importance for transforming the energy landscape towards decarbonization. In this project, we combine probabilistic numerical weather prediction with machine learning algorithms in order to …