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The Finnish Meteorological Institute is a leading expert in meteorology, air quality, climate change, earth observation, marine and arctic research areas.


FMI's researchers publish about 300 peer-reviewed articles annually.

In Science News we publish current information about FMI's studies on the weather, the sea and the climate.

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Machine learning helps in forecasting thunderstorms and researching thunder climate

Machine learning helps in forecasting thunderstorms and researching thunder climate

Machine learning, which has taken over many fields, can also be of use in climate science. A new publication has used artificial neural networks that utilise extensive teaching materials for forecasting thunder.

More information:

Researcher Peter Ukkonen, tel. +358 400 344 153, etunimi.sukunimi@fmi.fi
Researcher Antti Mäkelä, tel. +358 50 3011988, etunimi.sukunimi@fmi.fi

Ukkonen, Peter, Agostino Manzato, and Antti Mäkelä. "Evaluation of thunderstorm predictors for Finland using reanalyses and neural networks." Journal of Applied Meteorology and Climatology 56.8 (2017): 2335-2352.

http://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-16-0361.1


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FMI publications

FMI researchers produce some 300 publications annually, the majority of them in international scientific journals. Research results are also published in FMI´ss own publications series. FMI`s own series are:

* FMI Contributions: high-quality peer-reviewed research results, mainly doctoral dissertations

* FMI Reports: current research results mainly for customers and other stakeholders

All publications from 2016 onwards can be found on Helda.