期刊文献+

Statistical Reconstruction of the Antarctic Oscillation Index Based on Multiple Proxies

Statistical Reconstruction of the Antarctic Oscillation Index Based on Multiple Proxies
下载PDF
导出
摘要 Based on multiple proxies from the Southern Hemisphere, an austral summer (December-January-February: DJF) Antarctic Oscillation Index (AAO) since 1500 A.D. was reconstructed with a focus on interannual to interdecadal variability (<50 a). By applying a multivariate regression method, the observational AAO-proxy relations were calibrated and cross-validated for the period of 1957 89. The regressions were employed to compute the DJF-AAO index for 1500 1956. To verify the results, the authors checked the explained variance (r 2 ), the reduction of error (RE), and the standard error (SE). Cross-validation was performed by applying a leave-one-out validation method. Over the entire reconstruction period, the mean values of r 2 , RE, and SE are 59.9%, 0.47, and 0.67, respectively. These statistics indicate that the DJF-AAO reconstruction is relatively skillful and reliable for the last ~460 years. The reconstructed AAO variations on the interannual and interdecadal timescales compare favorably with those of several shorter sea level pressure (SLP)-based AAO indices. The leading periods of the DJF-AAO index over the last 500 years are ~2.4, ~2.6, ~6.3, ~24.1, and ~37.6 years, all of which are significant at the 95% level as estimated by power spectral analysis. Based on multiple proxies from the Southern Hemisphere, an austral summer (December-January- February: DJF) Antarctic Oscillation Index (AAO) since 1500 A.D. was reconstructed with a focus on interannual to interdecadal variability (〈50 a). By applying a multivariate regression method, the observational AAO-proxy relations were calibrated and cross-validated for the period of 1957-89. The regressions were employed to compute the DJF-AAO index for 1500-1956. To verify the results, the authors checked the explained variance (r2), the reduction of error (RE), and the standard error (SE). Cross-validation was performed by applying a leave-one-out validation method. Over the entire reconstruction period, the mean values of r2, RE, and SE are 59.9%, 0.47, and 0.67, respectively. These statistics indicate that the DJF-AAO reconstruction is relatively skillful and reliable for the last -460 years. The reconstructed AAO variations on the interannual and interdecadal timescales compare favorably with those of several shorter sea level pressure (SLP)-based AAO indices. The leading periods of the DJF-AAO index over the last 500 years are -2.4, -2.6, -6.3, -24.1, and -37.6 years, all of which are significant at the 95% level as estimated by power spectral analysis.
出处 《Atmospheric and Oceanic Science Letters》 2010年第5期283-287,共5页 大气和海洋科学快报(英文版)
基金 supported by the National Natural Science Foundation of China (Grant No. 40675035) the National High Technology Research and Development Program of China (Grant No. 2008AA121704) the National Key Technologies R&D Program of China (Grant No. 2009BAC51B05)
关键词 Antarctic Oscillation RECONSTRUCTION PROXY interannual and interdecadal variability 南极涛动 多代理 统计 年代际变化 基础 重构 多元回归方法 验证方法
  • 相关文献

参考文献4

二级参考文献49

共引文献58

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部