Data accompanying the manuscript "Assessing the Probability of Extremely Low Wind Energy Production in Europe at Sub-seasonal to Seasonal Time Scales"
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This dataset contains time series of wind energy production aggregated over France and Europe, obtained from a 1000-year climate simulation from the CESM model (version 1.2.2, Hurrel et al. 2013), coupled to a simple energy model to compute grid-point capacity factor from surface wind. Wind power is then computed by multiplying the capacity factor by the installed capacity, taken from 5 e-Highway scenarios (X5, X7, X10, X13 and X16), and integrated over the regions of interest. More details about the climate simulation, wind energy model and installed capacity scenarios can be found in the associated manuscript, "Assessing the Probability of Extremely Low Wind Energy Production in Europe at Sub-seasonal to Seasonal Time Scales" (Cozian et al. 2023). The data is organized into 10 files for France and 10 files for Europe. In each case, the 10 files correspond to 10 batches of 100 years each, with 3-hourly output. Each file contains 5 time series corresponding to the 5 installed capacity scenarios. References Hurrell J W, Holland M M, Gent P R, Ghan S, Kay J E, Kushner P J, Lamarque J F, Large W G, Lawrence D, Lindsay K, Lipscomb W H, Long M C, Mahowald N, Marsh D R, Neale R B, Rasch P, Vavrus S, Vertenstein M, Bader D, Collins W D, Hack J J, Kiehl J and Marshall S (2013). The community earth system model: A framework for collaborative research. Bulletin of the American Meteorological Society, 94, 1339–1360. https://doi.org/10.1175/BAMS-D-12-00121.1 e-Highway 2050 (2015). Europe's future secure and sustainable electricity infrastructure. https://docs.entsoe.eu/baltic-conf/bites/www.e-highway2050.eu/results Cozian B, Herbert C and Bouchet F (2023). Assessing the Probability of Extremely Low Wind Energy Production in Europe at Sub-seasonal to Seasonal Time Scales. https://doi.org/10.48550/arXiv.2311.13526
本数据集包含法国及欧洲地区聚合后的风能发电量时间序列，数据源自通用地球系统模型（CESM，版本1.2.2，Hurrel等，2013）的千年气候模拟。该模拟耦合了简单能源模型，可通过地表风速计算格点容量因子；随后通过将容量因子与装机容量相乘得到风电功率，所用装机容量取自5种e-Highway情景（X5、X7、X10、X13及X16），并在目标区域内进行积分以得到总发电量。有关气候模拟、风能模型及装机容量情景的更多细节，可参阅相关研究论文《评估次季节至季节尺度下欧洲极端低风能发电量的概率》（Cozian等，2023）。 本数据集分为10个法国数据文件与10个欧洲数据文件。两类文件各对应10个批次，每个批次包含100年的每3小时输出一次的时间序列数据；每个文件包含对应5种装机容量情景的5组时间序列。 参考文献 Hurrell J W, Holland M M, Gent P R, Ghan S, Kay J E, Kushner P J, Lamarque J F, Large W G, Lawrence D, Lindsay K, Lipscomb W H, Long M C, Mahowald N, Marsh D R, Neale R B, Rasch P, Vavrus S, Vertenstein M, Bader D, Collins W D, Hack J J, Kiehl J 及 Marshall S (2013). 《通用地球系统模型：协作研究框架》，《美国气象学会公报》，第94卷，第1339-1360页。https://doi.org/10.1175/BAMS-D-12-00121.1 e-Highway 2050 (2015). 《欧洲未来安全可持续电力基础设施》，https://docs.entsoe.eu/baltic-conf/bites/www.e-highway2050.eu/results Cozian B, Herbert C 及 Bouchet F (2023). 《评估次季节至季节尺度下欧洲极端低风能发电量的概率》，https://doi.org/10.48550/arXiv.2311.13526
