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SECURES-Met: A European meteorological data set suitable for electricity modelling applications

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 high...

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Autores principales: Formayer, Herbert, Nadeem, Imran, Leidinger, David, Maier, Philipp, Schöniger, Franziska, Suna, Demet, Resch, Gustav, Totschnig, Gerhard, Lehner, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484998/
https://www.ncbi.nlm.nih.gov/pubmed/37679367
http://dx.doi.org/10.1038/s41597-023-02494-4
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author Formayer, Herbert
Nadeem, Imran
Leidinger, David
Maier, Philipp
Schöniger, Franziska
Suna, Demet
Resch, Gustav
Totschnig, Gerhard
Lehner, Fabian
author_facet Formayer, Herbert
Nadeem, Imran
Leidinger, David
Maier, Philipp
Schöniger, Franziska
Suna, Demet
Resch, Gustav
Totschnig, Gerhard
Lehner, Fabian
author_sort Formayer, Herbert
collection PubMed
description 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 21(st) 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.
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spelling pubmed-104849982023-09-09 SECURES-Met: A European meteorological data set suitable for electricity modelling applications Formayer, Herbert Nadeem, Imran Leidinger, David Maier, Philipp Schöniger, Franziska Suna, Demet Resch, Gustav Totschnig, Gerhard Lehner, Fabian Sci Data Data Descriptor 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 21(st) 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. Nature Publishing Group UK 2023-09-07 /pmc/articles/PMC10484998/ /pubmed/37679367 http://dx.doi.org/10.1038/s41597-023-02494-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Formayer, Herbert
Nadeem, Imran
Leidinger, David
Maier, Philipp
Schöniger, Franziska
Suna, Demet
Resch, Gustav
Totschnig, Gerhard
Lehner, Fabian
SECURES-Met: A European meteorological data set suitable for electricity modelling applications
title SECURES-Met: A European meteorological data set suitable for electricity modelling applications
title_full SECURES-Met: A European meteorological data set suitable for electricity modelling applications
title_fullStr SECURES-Met: A European meteorological data set suitable for electricity modelling applications
title_full_unstemmed SECURES-Met: A European meteorological data set suitable for electricity modelling applications
title_short SECURES-Met: A European meteorological data set suitable for electricity modelling applications
title_sort secures-met: a european meteorological data set suitable for electricity modelling applications
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484998/
https://www.ncbi.nlm.nih.gov/pubmed/37679367
http://dx.doi.org/10.1038/s41597-023-02494-4
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