论文标题
使用57年的地面数据,几内亚12个地点的表面温度趋势估计
Surface Temperature Trend Estimation over 12 Sites in Guinea Using 57 Years of Ground-Based Data
论文作者
论文摘要
进行了趋势运行模型,以估算1960年至2016年在几内亚12个地点记录的表面温度的趋势,并检查每种气候强迫的贡献。确定系数(R 2)在0.60和0.90之间变化,它提供了有关模型的仿真能力的总信息。十年趋势值还计算出了向上趋势(介于0.04 {\ textDegree} c $ \ pm $ 0.06 {\ textDegree} c十年-1和0.21 {\ textDegree} c $ \ \ pm $ 0.06 {\ pm $ 0.06 {\ textdegree} c ecitade -1)。此外,量化了强迫的贡献,并且大多数车站的年度振荡(AO)贡献更高,其次是半年度振荡(SAO)。在强迫中,热带北大西洋(TNA)的贡献大于黑子数(SSN),ni {ni {ñ} O3.4和Atlantic ni {ñ} O(an)的贡献。此外,曼恩·肯德尔(Mann-Kendall)的测试揭示了除Macenta站点外的所有站点都有积极的显着趋势。此外,在连续的Mann-Kendall测试中,仅在不同日期的Mamou,Koundara和Macenta的站点发现趋势转折点。温度异常描述了变暖发作(1970年代,1980年代,1984年和1990年代)。从那时起,整个国家的温度一直在升高。已经显示出一个重大的变暖,可以使用这些模型以及其他促成因素进一步研究。
Trend-Run model was performed to estimate the trend in surface temperatures recorded at 12 sites in Guinea from 1960 to 2016 and to examine the contribution of each climate forcing. The coefficient of determination (R 2) calculated varies between 0.60 and 0.90, it provides total information about the simulation capability of the model. The decadal trend values also calculated show an upward trend (between 0.04 {\textdegree}C $\pm$ 0.06 {\textdegree}C decade --1 and 0.21 {\textdegree}C $\pm$ 0.06 {\textdegree}C decade --1). In addition, forcings' contributions were quantified, and the annual oscillation (AO) contribution is higher for most of the stations, followed by semiannual oscillation (SAO). Among the forcings, the tropical Northern Atlantic (TNA) contribution is greater than that of the sunspot number (SSN), Ni{ñ}o3.4 and Atlantic Ni{ñ}o (AN). Moreover, the Mann-Kendall test revealed a positive significant trend for all stations except at the Macenta site. Additionally, with sequential Mann-Kendall test, trend turning points were found only for the stations of Mamou, Koundara and Macenta at different dates. The temperature anomalies depict warming episodes (1970s, 1980s, 1984 and 1990s). Since then, the temperature is consistently increasing over the country. A significant warming has been shown, which might be further investigated using these models with additional contributing factors.