Ms. Irene Biavetti Profile

Irene Biavetti

at European Commission Joint Research Ctr

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Proceedings Article | 12 August 2014 Open Access

European meteorological data: contribution to research, development, and policy support

Irene Biavetti, Sotiris Karetsos, Andrej Ceglar, Andrea Toreti, Panos Panagos

Proceedings Volume 9229, 922907 (2014) https://doi.org/10.1117/12.2066286

KEYWORDS: Meteorology, Data modeling, Agriculture, Temperature metrology, Climate change, Modeling, Computer security, Visibility, Wind energy, Humidity

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The Joint Research Centre of the European Commission has developed Interpolated Meteorological Datasets available on a regular 25x25km grid both to the scientific community and the general public. Among others, the Interpolated Meteorological Datasets include daily maximum/minimum temperature, cumulated daily precipitation, evapotranspiration and wind speed. These datasets can be accessed through a web interface after a simple registration procedure. The Interpolated Meteorological Datasets also serve the Crop Growth Monitoring System (CGMS) at European level. The temporal coverage of the datasets is more than 30 years and the spatial coverage includes EU Member States, neighboring European countries, and the Mediterranean countries. The meteorological data are highly relevant for the development, implementation and assessment of a number of European Union (EU) policy areas: agriculture, soil protection, environment, agriculture, food security, energy, climate change. An online user survey has been carried out in order to assess the impact of the Interpolated Meteorological Datasets on research developments. More than 70% of the users have used the meteorological datasets for research purposes and more than 50% of the users have used those sources as main input for their models. The usefulness of the data scored more than 70% and it is interesting to note that around 25% of the users have published their scientific outputs based on the Interpolated Meteorological Datasets. Finally, the user feedback focuses mostly on improving the data distribution process as well as the visibility of the web platform.

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