Global S&T Development Trend Analysis Platform of Resources and Environment
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, Raul1,2; Gonzalez-Reviriego, Nube1; Torralba, Veronica1; Soret, Albert1; Doblas-Reyes, Francisco J.3 | |
2019-03-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2019 |
卷号 | 52页码:3307-3319 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain |
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. |
英文关键词 | Wind speed ECMWF System 4 ERA-Interim Climatology Probability density function |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000463842700045 |
WOS关键词 | BIAS CORRECTION ; POWER ; PREDICTABILITY ; INDEXES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/181454 |
专题 | 气候变化 |
作者单位 | 1.BSC, C Jordi Girona 29, Barcelona 08034, Spain; 2.Univ Barcelona, Fac Phys, C Marti & Franques 1, E-08028 Barcelona, Spain; 3.ICREA, Pg Lluis Co 23, Barcelona 08010, Spain |
推荐引用方式 GB/T 7714 | Marcos, Raul,Gonzalez-Reviriego, Nube,Torralba, Veronica,et al. Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4[J]. CLIMATE DYNAMICS,2019,52:3307-3319. |
APA | Marcos, Raul,Gonzalez-Reviriego, Nube,Torralba, Veronica,Soret, Albert,&Doblas-Reyes, Francisco J..(2019).Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4.CLIMATE DYNAMICS,52,3307-3319. |
MLA | Marcos, Raul,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(2019):3307-3319. |
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