Climate Data Record of Stratospheric Aerosols (CREST)
Climate-related studies need information about the distribution of stratospheric aerosols, which influence the energy balance of the Earth’s atmosphere. A team of Finnish Meteorological Institute scientists, led by Viktoria Sofieva, has published a merged aerosol extinction profiles and stratospheric optical depth dataset available online: https://doi.org/10.57707/fmi-b2share.dfe14351fd8548bcaca3c2956b17f6655 The created aerosol climate record covers the period from […]
Evaluation of trends in boreal forest CO2 exchange by novel satellite data analysis
Hemispheric satellite data analysis shows that increase in gross primary production of boreal forests across 1981-2018 is balanced out by increase in ecosystem respiration. FMI-Space led investigation reveals that the variability in annual weather conditions affect more than earlier expected to the CO2 balance of evergreen boreal forests. In practice, increase in CO2 uptake (gross […]
New paper in Atmospheric Pollution Research
New results in this recently published paper propose improved nitrogen dioxide (NO2) to nitrogen oxide (NOx) scaling factors for several data-driven methods that are used for the estimation of NOx power plant emissions from satellite observations of NO2. The results from this work led by the Finnish Meteorological Institute will be utilized in the data […]
Improvements to monitoring the freeze/thaw state with radar satellites
The new study presents significant improvements to the existing methods, such as taking into consideration changes in the summer season. Soil F/T information is useful, for example, for users of heavy equipment, such as forestry machines. Soil freezing has a significant effect on the bearing capacity. Soil freeze/thaw (F/T) state in the boreal forest was […]
Significant funding for space weather research at Finnish Meteorological Institute
European Research Council awarded competetive ERC Consolidator Grant funding to Riku Järvinen’s project at Finnish Meteorological Institute. The grant is for five years and approximately two million euros. The project improves our understanding of space weather. The funded project studies space weather as observed by the European Space Agency’s and Japan Aerospace Exploration Agency’s BepiColombo […]
New model for snow reflectivity may enhance satellite measurements of carbon dioxide in the Arctic
New radiative transfer simulations at the Finnish Meteorological Institute will likely improve satellite remote sensing of carbon dioxide and therefore advance the study of the carbon cycle in the Arctic regions. The simulations support the planning of the European CO2M satellite mission. Doctoral researcher Antti Mikkonen at the Finnish Meteorological Institute devised a mathematical description […]
Treasure chest of interdisciplinary and year-round Arctic climate system data publicly available
The year-round expedition into the central Arctic called “Multidisciplinary drifting Observatory for the Study of Arctic Climate” (MOSAiC) explored the Arctic climate system to gain fundamental insights that are key to a better understanding of global climate change. While anchored to a sea-ice floe, the German research icebreaker Polarstern passively drifted with the Transpolar Drift […]
New study quantifies the temperature inside tropical forests
Temperature is a fundamental factor defining the survival, growth, and reproduction rate of species living inside tropical forests. New study provides maps of temperature inside tropical forests that can be used by ecologists to improve the reliability of species distribution models. New worldwide estimates of temperatures inside tropical forests show that global warming may have […]
Climate Data Records of the Northern Hemisphere snow mass produced by FMI-Space used to assess the human impact to snow loss
The increasing fleet of Earth observing satellites has been a game changer in the monitoring of cryosphere. New analysis shows that human-induced emissions have caused decreases to snow mass in latitudes south of the 60 degrees, whereas the impact has been the opposite to northern latitudes. Consequently, results indicate that drastic decreases in river discharges […]
Machine learning and satellites produce immediate carbon dioxide flux predictions
Satellite observations and existing carbon dioxide flux estimates can be used to train a machine learning algorithm capable of making quick and accurate flux predictions. Researchers at the Finnish Meteorological Institute investigated a new approach using a random forest, a type of machine learning model, to predict future CO₂ fluxes. The model was trained with […]
