Skilful seasonal predictions for the European energy industry

被引:99
作者
Clark, Robin T. [1 ]
Bett, Philip E. [1 ]
Thornton, Hazel E. [1 ]
Scaife, Adam A. [1 ]
机构
[1] Met Off Hadley Ctr, Exeter, Devon, England
关键词
seasonal prediction; nao; energy; predictability; NORTH-ATLANTIC OSCILLATION; ECONOMIC VALUE; CROP YIELD; CLIMATE; VARIABILITY; FORECASTS; WEATHER; WINTER; SIMULATIONS; EXTREMES;
D O I
10.1088/1748-9326/aa57ab
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We assess the utility of seasonal forecasts for the energy industry by showing how recentlyestablished 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.
引用
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页数:9
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