Torres Silva dos Santos Alexandre, Moisés Santos e Silva Cláudio
Program Post-Graduate in Climate Sciences, Center of Exact Sciences, Federal University of Rio Grande do Norte, Campus Universitário, s/n, 59072-970 Natal, RN, Brazil ; Center for Gas Technology and Renewable Energy (CTGAS-ER), Avenida Capitão-Mor Gouveia, 1480 Lagoa Nova, 59063-400 Natal, RN, Brazil.
ScientificWorldJournal. 2013 Oct 22;2013:490857. doi: 10.1155/2013/490857. eCollection 2013.
Wind speed analyses are currently being employed in several fields, especially in wind power generation. In this study, we used wind speed data from records of Universal Fuess anemographs at an altitude of 10 m from 47 weather stations of the National Institute of Meteorology (Instituto Nacional de Meteorologia-INMET) from January 1986 to December 2011. The objective of the study was to investigate climatological aspects and wind speed trends. To this end, the following methods were used: filling of missing data, descriptive statistical calculations, boxplots, cluster analysis, and trend analysis using the Mann-Kendall statistical method. The seasonal variability of the average wind speeds of each group presented higher values for winter and spring and lower values in the summer and fall. The groups G1, G2, and G5 showed higher annual averages in the interannual variability of wind speeds. These observed peaks were attributed to the El Niño and La Niña events, which change the behavior of global wind circulation and influence wind speeds over the region. Trend analysis showed more significant negative values for the G3, G4, and G5 groups for all seasons of the year and in the annual average for the period under study.
风速分析目前正应用于多个领域，尤其是在风力发电方面。在本研究中，我们使用了来自国家气象研究所（Instituto Nacional de Meteorologia - INMET）47个气象站的通用富斯风速仪记录的1986年1月至2011年12月期间海拔10米处的风速数据。本研究的目的是调查气候学方面以及风速趋势。为此，使用了以下方法：缺失数据填充、描述性统计计算、箱线图、聚类分析以及使用曼 - 肯德尔统计方法进行趋势分析。每组平均风速的季节变化在冬季和春季呈现较高值，而在夏季和秋季呈现较低值。在风速的年际变化中，G1、G2和G5组显示出较高的年平均值。这些观测到的峰值归因于厄尔尼诺和拉尼娜事件，它们改变了全球风环流的行为并影响该地区的风速。趋势分析表明，在研究期间的全年所有季节以及年平均值中，G3、G4和G5组的负值更为显著。
