4-9 September 2022, Bonn, Germany
EMS Annual Meeting Abstracts
Vol. 19, EMS2022-424, 2022
https://doi.org/10.5194/ems2022-424
EMS Annual Meeting 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

GeoE3 - combining meteorological data with geospatial and statistical data

Mikko Visa
Mikko Visa
  • Finnish Meteorological Institute, Helsinki, Finland (mikko.visa@fmi.fi)

GeoE3 (Geospatially Enabled Ecosystem for Europe) is a project co-financed by the Connecting Europe Facility of the European Union. It aims to connect existing national, regional and cross-border services and data sets including meteorological, statistical and geospatial such as building data or road network data. This simplifies meaningful analysis and visualization in a national and cross-border context.

GeoE3 develops tools and APIs that will merge available information from national sources. It demonstrates data and service interoperability and creates dashboards and visualizations for an improved understanding of data from a variety of sources. To produce tangible results that can serve as best practices for other domains, disciplines, and areas, GeoE3’s tools and services address compelling use cases. The action will simplify the discovery of relevant data and improve services through the adoption of the latest standards with emphasis on Web APIs and linked data principles.

The three use cases include Solar Energy, Smart Cities and Electric Cars. Investigation of the solar energy potential and energy efficiency of buildings is based on detailed 3D building data, digital elevation models, climate normals, observations and forecasts. The electric cars use case is based on evaluation and prediction of the energy consumption of electric cars as well as providing new services for the European C-ITS platform (Cooperative Intelligent Transport Systems). This use case will use 2D and 3D road data, weather and traffic data, road signs and speed limits. Smart Cities explores renewable energy potential where a planned development area is considered and deals with the optimization of the efficiency of urban expansion.

From a meteorological domain perspective GeoE3 will deliver an implementation of the OGC EDR API built on top of Finnish Meteorological Institute open source SmartMet Server data server. Focus during this year will be on datasets necessary to fulfill the GeoE3 project use cases.

How to cite: Visa, M.: GeoE3 - combining meteorological data with geospatial and statistical data, EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-424, https://doi.org/10.5194/ems2022-424, 2022.

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