Meteorological research

The Meteorology research unit carries out research and development in weather forecasting, climate analysis, atmospheric processes and air quality. We work with observational data, meteorological analysis and model development for regional weather forecasting in the Nordic region, as well as with remote sensing, climate analysis and air quality at urban to global scales.

SMHI's meteorological research group in front of the SMHI entrance.

SMHI's Meteorological Research Unit works with research and development on observational data, meteorological analyses and models for regional weather forecasts in the Nordic region. We use radar and satellite data in various types of meteorological and climatological analyses. We conduct research on air quality and develop models for air quality at urban to global scales.

About SMHI's meteorological research, our research areas and models

Research areas

Radar image Southeastern Sweden

Nowcasting and remote sensing

New types of data to short-term forecasts
Linköping city from above

Urban climate and air quality

Heat and air quality in cities
Graphic mean cloud cover 1982-2009

Climate monitoring and research using remote sensing

More climate knowledge from satellite and radar
Super computer

Software methods for meteorological applications

For increasing amount of data
Landscape and clouds from above

Atmospheric and surface processes

Research for more accurate forecasts
Lake in Swedish Lapland

Atmospheric chemistry and air pollution models

Focus on atmospheric physical and chemical processes

Projects within meteorological research

Our research is often conducted in national and international projects and in long-term international cooperation. 

Projects within meteorological research

Latest publications

  1. Paunu,Ville-Veikko
    Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM 2.5 spatial distribution for road transport and machinery and off-road sectors
    2024
    In: Earth System Science Data, Vol. 16, no 3, 1453-1474 p.
    DOI: 10.5194/essd-16-1453-2024
  2. Hallgren,Christoffer
    Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data
    2024
    In: Wind Energy Science, Vol. 9, no 4, 821-840 p.
    DOI: 10.5194/wes-9-821-2024
More publications from SMHI Meteorological research

Latest News

13 July 2023
24 April 2023
More research news in meteorology

Staff Meteorological research

Contact us
SMHI's meteorological research group in front of the SMHI entrance.

SMHI's Meteorological Research Unit works with research and development on observational data, meteorological analyses and models for regional weather forecasts in the Nordic region. We use radar and satellite data in various types of meteorological and climatological analyses. We conduct research on air quality and develop models for air quality at urban to global scales.

About SMHI's meteorological research, our research areas and models

Research areas

Radar image Southeastern Sweden

Nowcasting and remote sensing

New types of data to short-term forecasts
Linköping city from above

Urban climate and air quality

Heat and air quality in cities
Graphic mean cloud cover 1982-2009

Climate monitoring and research using remote sensing

More climate knowledge from satellite and radar
Super computer

Software methods for meteorological applications

For increasing amount of data
Landscape and clouds from above

Atmospheric and surface processes

Research for more accurate forecasts
Lake in Swedish Lapland

Atmospheric chemistry and air pollution models

Focus on atmospheric physical and chemical processes

Projects within meteorological research

Our research is often conducted in national and international projects and in long-term international cooperation. 

Projects within meteorological research

Latest publications

  1. Paunu,Ville-Veikko
    Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM 2.5 spatial distribution for road transport and machinery and off-road sectors
    2024
    In: Earth System Science Data, Vol. 16, no 3, 1453-1474 p.
    DOI: 10.5194/essd-16-1453-2024
  2. Hallgren,Christoffer
    Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data
    2024
    In: Wind Energy Science, Vol. 9, no 4, 821-840 p.
    DOI: 10.5194/wes-9-821-2024
More publications from SMHI Meteorological research

Latest News

13 July 2023
24 April 2023
More research news in meteorology

Staff Meteorological research

Contact us