气候变化领域集成服务门户(CCPortal): Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4

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DOI	10.1007/s00382-018-4338-5
	Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4
	Marcos R.; González-Reviriego N.; Torralba V.; Soret A.; Doblas-Reyes F.J.
发表日期	2019
ISSN	0930-7575
起始页码	3307
结束页码	3319
卷号	52 期号:2020-05-06
英文摘要	The present developments in 10 m wind seasonal forecast products have lead to a growth in the number of studies analysing different aspects of both its predictability and applicability. However, there is still a lack of global studies analysing the statistical properties of the probability distribution of 10 m wind speed comparing the seasonal forecast systems with the widely used reanalysis products. To fill this gap we have studied the properties of the probability distributions of 10 m wind speed from the ERA-Interim reanalysis and the European Centre for Medium-Range Weather Forecasts System 4 seasonal forecast system. We have focused on two seasons, JJA and DJF, considering both their interannual and intraseasonal variability. The 10 m wind speed distribution has been characterized in terms of the four main moments of the probability distribution (mean, standard deviation, skewness and kurtosis). We have also computed the coefficient of variation to identify the regions with the higher wind variability and the Shapiro–Wilks goodness of fit test to assess their normality. This set of parameters is important to provide useful climate information in wind energy decision-making processes that use simple assumptions of the wind speed frequency distribution to properly estimate the wind energy potential. Besides, this study also illustrates where the discrepancies of the distributions of the seasonal predictions and the reference dataset are higher and, thus, which might need special attention from a bias adjustment perspective. © 2018, The Author(s).
英文关键词	Climatology; ECMWF System 4; ERA-Interim; Probability density function; Wind speed
语种	英语
scopus关键词	annual variation; climatology; data set; geostatistics; probability density function; seasonal variation; weather forecasting; wind velocity
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146468
作者单位	Barcelona Supercomputing Center (BSC), c/Jordi Girona 29, Barcelona, 08034, Spain; Faculty of Physics, University of Barcelona, c/Martí i Franquès 1, Barcelona, 08028, Spain; ICREA, Pg. Lluís Companys 23, Barcelona, 08010, Spain
推荐引用方式 GB/T 7714	Marcos R.,González-Reviriego N.,Torralba V.,et al. Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4[J],2019,52(2020-05-06).
APA	Marcos R.,González-Reviriego N.,Torralba V.,Soret A.,&Doblas-Reyes F.J..(2019).Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4.Climate Dynamics,52(2020-05-06).
MLA	Marcos R.,et al."Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4".Climate Dynamics 52.2020-05-06(2019).