摘要
采用最大惩罚T检验(Penalized Maximum T Test,PMT)方法,结合海洋台站元数据信息,选取临近气象站做为参考站,对中国南海9个海洋观测台站月平均SST资料序列进行均一性检验,在充分考虑区域性气候变化因素的影响下,对检验结果进行气候合理性分析并对不连续点进行订正。结果表明:(1)通过多种数据的相关性比较和分析发现,临近气象站的气温资料序列是南海台站SST资料订正最优的参考序列;(2)平均每个海洋台站SST资料序列存在1~2个不连续点,其中站址变迁、仪器变更和环境变化对均一性的影响较大;(3)订正后的南海SST序列质量有大幅提高,表明南海SST具有更明显的增暖趋势。
Using Penalized Maximum T Test （PMT） combined with the marine station metadata information and the nearly meteorological stations as reference stations,monthly sea surface temperature （SST） series from nine marine observation stations in coastal zone ofthe South China Sea are chosen in the experimental homogeneity studies. In consideration of regional factors under the influence of climate change, the change points are synthesized and adjusted. The results show that： （ 1 ） Through relevant comparison and analysis of multiple data, the air temperature series from the nearly meteorological stationsdata is currently the best reference series; （2） The average marine station SST data has 1-2 change points,station relocation, instrumental changes and environmental change has great impact on the discontinuities; （3） Adjusted SST time series has show the larger warming trend during the past 52 years, and the result can be a good indication of SST variation of local area.
出处
《热带气象学报》
CSCD
北大核心
2017年第5期637-643,共7页
Journal of Tropical Meteorology
基金
国家重点研发计划(2016YFC1401903)
国家自然科学基金面上项目(41376014)
国家科技支撑计划课题(2014BAB12B02)
天津市科技支撑计划项目(14ZCZDSF00012)共同资助
