检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
出 处:《热带海洋学报》2004年第2期19-27,共9页Journal of Tropical Oceanography
基 金:国家自然科学基金项目(40175018)
摘 要:利用NCEP/NCAR1950—1999年逐月再分析资料和奇异值分解(SVD)、相关分析等统计方法,分析了东亚冬季风和印度洋 太平洋海温在年际尺度上的耦合关系。结果表明,在年际变化尺度上,SVD分解出来的第1模态反映了东亚冬季风与同期太平洋海温之间的主要相互耦合关系,即强(弱)的东亚冬季风对应类似LaNi na(ElNi no)型的海温距平分布;超前东亚冬季风两个月左右的赤道东太平洋正(负)海温异常对后期弱(强)东亚冬季风的遥相关影响作用最显著,而弱(强)的东亚冬季风异常则对同期及落后1个月左右的南海正(负)海温异常的强迫影响作用最直接、最显著;东亚冬季风指数与落后1个月左右的热带西太平洋海温有最好的负相关关系,而与同期的热带西印度洋海温有最显著的正相关关系。The coupling relationship between the East Asian Winter Monsoon (EAWM) and the sea surface temperature anomaly(SSTA)in inter-annual scale is studied statistically using the NCEP/NCAR re-analysis data during the period from 1950 to 1999. The results shows that, the coupling relationship between the La Nia (El Nio)-like SSTA distribution pattern in the Pacific Ocean and the strong (weak) EAWM is simply significant in inter-annual scale; the effect of the positive (negative) SSTA two months ahead of EAWM in Nio3 region on the weak (strong) EAWM is the most prominent, while the weak (strong) EAWM imposes most significantly on the positive (negative) SSTA at zero or a month lag; the best negative correlation occurs between EAWM and SSTA at a month lag in the western tropical Pacific, while the most significant positive correlation occurs between EAWM and SSTA at zero lag in western tropical Indian Ocean.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.218.24.244