<div class="csl-bib-body">
<div class="csl-entry">Formayer, H., Nadeem, I., Leidinger, D., Maier, P., Schöniger, F., Suna, D., Resch, G., Totschnig, G., & Lehner, F. (2023). SECURES-Met: A European meteorological data set suitable for electricity modelling applications. <i>Scientific Data</i>, <i>10</i>, Article 590. https://doi.org/10.1038/s41597-023-02494-4</div>
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dc.identifier.issn
2052-4463
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/189684
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dc.description.abstract
The modelling of electricity production and demand requires highly specific and comprehensive meteorological data. One challenge is the high temporal frequency as electricity production and demand modelling typically is done with hourly data. On the other side the European electricity market is highly connected, so that a pure country-based modelling is not expedient and at least the whole European Union (EU) area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed the aggregated European wide climate data set SECURES-Met that has a temporal resolution of one hour, covers the whole EU area and other selected European countries, has a reasonable size but considers the high spatial variability.
en
dc.description.sponsorship
Kommunalkredit Austria AG
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dc.language.iso
en
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dc.publisher
Nature Publishing
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dc.relation.ispartof
Scientific Data
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Climate change
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dc.subject
Open source energy system modelling
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dc.subject
Electricity demand and supply
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dc.subject
Renewable energy
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dc.subject
Energy Meteorology
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dc.subject
Europe
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dc.subject
NUTS
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dc.subject
Temperature
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dc.subject
Austria
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dc.subject
Hourly
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dc.subject
Wind power potential
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dc.subject
Hydropower potential
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dc.subject
Radiation
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dc.title
SECURES-Met: A European meteorological data set suitable for electricity modelling applications
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dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.pmid
37679367
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dc.contributor.affiliation
University of Natural Resources and Life Sciences, Vienna, Austria
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dc.contributor.affiliation
University of Natural Resources and Life Sciences, Vienna, Austria
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dc.contributor.affiliation
University of Natural Resources and Life Sciences, Vienna, Austria
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dc.contributor.affiliation
University of Natural Resources and Life Sciences, Vienna, Austria
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dc.contributor.affiliation
Austrian Institute of Technology, Austria
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dc.contributor.affiliation
Austrian Institute of Technology, Austria
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dc.contributor.affiliation
University of Natural Resources and Life Sciences, Vienna, Austria