Lüdecke Horst-Joachim, Müller-Plath Gisela, Lüning Sebastian
University of Applied Sciences htw, Saarbrücken, Germany.
Technische Universität Berlin, Berlin, Germany.
Sci Rep. 2024 Oct 24;14(1):25152. doi: 10.1038/s41598-024-73506-5.
Sunshine hours (SSH) is an important meteorological parameter, loosely linked to temperature and precipitation, and highly relevant for various sectors such as agriculture or solar energy. Previous studies have already identified a correlation of European SSH with the thermal state of the North Atlantic. This paper investigates this relationship further by studying annual and monthly SSH of seven long-term Central European SSH series and comparing them to the Atlantic Multidecadal Oscillation (AMO) using Fourier Transformation, Monte Carlo simulation and non-linear optimization. The Fourier spectra of our annual SSH series have their strongest and highly significant peaks in the known AMO period of ~ 50 to ~ 80 years, supporting the hypothesis that European SSH and the AMO are linked. The optimized sinusoids of the seven SSH and the AMO series with these periods show substantial correlations with the corresponding data (r = 0.42-0.55 for SSH and 0.71 for the AMO). Extrapolating the sinusoids, we project a gradual decline in SSH across Central Europe by 9-16% from its current maximum over the next three decades, particularly pronounced in northern regions.
日照时长(SSH)是一个重要的气象参数,与温度和降水的联系较为松散,但与农业或太阳能等多个领域高度相关。此前的研究已经确定欧洲的日照时长与北大西洋的热状态存在关联。本文通过研究中欧七个长期日照时长序列的年度和月度数据,并使用傅里叶变换、蒙特卡罗模拟和非线性优化方法将其与大西洋多年代际振荡(AMO)进行比较,进一步探究这种关系。我们年度日照时长序列的傅里叶谱在约50至约80年这一已知的AMO周期内具有最强且高度显著的峰值,支持了欧洲日照时长与AMO存在关联的假设。这七个日照时长序列和AMO序列在这些周期的优化正弦波与相应数据显示出显著相关性(日照时长的相关系数r为0.42 - 0.55,AMO为0.71)。通过外推正弦波,我们预测在未来三十年中,中欧的日照时长将从当前的最高值逐渐下降9% - 16%,在北部地区尤为明显。