Skilful seasonal predictions for the European energy industry

We assess the utility of seasonal forecasts for the energy industry by showing how recently-established predictability of the North Atlantic Oscillation (NAO) in winter allows predictability of near-surface wind speed and air temperature and therefore energy supply and demand respectively. Our seaso...

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Bibliographic Details
Published in:Environmental Research Letters
Main Authors: Robin T Clark, Philip E Bett, Hazel E Thornton, Adam A Scaife
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2017
Subjects:
nao
Q
Online Access:https://doi.org/10.1088/1748-9326/aa57ab
https://doaj.org/article/821b3fdb954946f8b984545850a398a8
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spelling ftdoajarticles:oai:doaj.org/article:821b3fdb954946f8b984545850a398a8 2023-09-05T13:21:31+02:00 Skilful seasonal predictions for the European energy industry Robin T Clark Philip E Bett Hazel E Thornton Adam A Scaife 2017-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/aa57ab https://doaj.org/article/821b3fdb954946f8b984545850a398a8 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/aa57ab https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/aa57ab 1748-9326 https://doaj.org/article/821b3fdb954946f8b984545850a398a8 Environmental Research Letters, Vol 12, Iss 2, p 024002 (2017) seasonal prediction nao energy predictability Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2017 ftdoajarticles https://doi.org/10.1088/1748-9326/aa57ab 2023-08-13T00:37:40Z We assess the utility of seasonal forecasts for the energy industry by showing how recently-established predictability of the North Atlantic Oscillation (NAO) in winter allows predictability of near-surface wind speed and air temperature and therefore energy supply and demand respectively. Our seasonal prediction system (GloSea5) successfully reproduces the influence of the NAO on European climate, leading to skilful forecasts of wind speed and wind power and hence wind driven energy supply. Temperature is skilfully forecast using the observed temperature-NAO relationship and the NAO forecast. Using the correlation between forecast NAO and observed GB electricity demand, we demonstrate that skilful predictions of winter demand are also achievable on seasonal timescales well in advance of the season. Finally, good reliability of probabilistic forecasts of above/below-average wind speed and temperature is also demonstrated. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Environmental Research Letters 12 2 024002
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic seasonal prediction
nao
energy
predictability
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
spellingShingle seasonal prediction
nao
energy
predictability
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
Robin T Clark
Philip E Bett
Hazel E Thornton
Adam A Scaife
Skilful seasonal predictions for the European energy industry
topic_facet seasonal prediction
nao
energy
predictability
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
description We assess the utility of seasonal forecasts for the energy industry by showing how recently-established predictability of the North Atlantic Oscillation (NAO) in winter allows predictability of near-surface wind speed and air temperature and therefore energy supply and demand respectively. Our seasonal prediction system (GloSea5) successfully reproduces the influence of the NAO on European climate, leading to skilful forecasts of wind speed and wind power and hence wind driven energy supply. Temperature is skilfully forecast using the observed temperature-NAO relationship and the NAO forecast. Using the correlation between forecast NAO and observed GB electricity demand, we demonstrate that skilful predictions of winter demand are also achievable on seasonal timescales well in advance of the season. Finally, good reliability of probabilistic forecasts of above/below-average wind speed and temperature is also demonstrated.
format Article in Journal/Newspaper
author Robin T Clark
Philip E Bett
Hazel E Thornton
Adam A Scaife
author_facet Robin T Clark
Philip E Bett
Hazel E Thornton
Adam A Scaife
author_sort Robin T Clark
title Skilful seasonal predictions for the European energy industry
title_short Skilful seasonal predictions for the European energy industry
title_full Skilful seasonal predictions for the European energy industry
title_fullStr Skilful seasonal predictions for the European energy industry
title_full_unstemmed Skilful seasonal predictions for the European energy industry
title_sort skilful seasonal predictions for the european energy industry
publisher IOP Publishing
publishDate 2017
url https://doi.org/10.1088/1748-9326/aa57ab
https://doaj.org/article/821b3fdb954946f8b984545850a398a8
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Environmental Research Letters, Vol 12, Iss 2, p 024002 (2017)
op_relation https://doi.org/10.1088/1748-9326/aa57ab
https://doaj.org/toc/1748-9326
doi:10.1088/1748-9326/aa57ab
1748-9326
https://doaj.org/article/821b3fdb954946f8b984545850a398a8
op_doi https://doi.org/10.1088/1748-9326/aa57ab
container_title Environmental Research Letters
container_volume 12
container_issue 2
container_start_page 024002
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