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人为因素对半球平均温度自相关结构的影响。

Anthropogenic influence on the autocorrelation structure of hemispheric-mean temperatures.

作者信息

Wigley TML, Smith RL, Santer BD

机构信息

T. M. L. Wigley, National Center for Atmospheric Research, Boulder, CO 80307, USA. R. L. Smith, Department of Statistics, University of North Carolina, Chapel Hill, NC 27599, USA. B. D. Santer, PCMDI, Lawrence Livermore National Laboratory, Liverm.

出版信息

Science. 1998 Nov 27;282(5394):1676-9. doi: 10.1126/science.282.5394.1676.

Abstract

It is shown that lagged correlations for and cross-correlations between observed hemispheric-mean temperature data differ markedly from those for unforced (control-run) climate model simulations. The differences can be explained adequately by assuming that the observed data contain a significant externally forced component involving both natural (solar) and anthropogenic influences and that the global climate sensitivity is in the commonly accepted range. Solar forcing alone cannot reconcile the differences in autocorrelation structure between observations and model control-run data.

摘要

结果表明,观测到的半球平均温度数据的滞后相关性以及它们之间的互相关性与未受强迫(控制运行)的气候模型模拟的相应相关性显著不同。假设观测数据包含一个由自然(太阳)和人为影响共同构成的显著外部强迫分量,且全球气候敏感性处于普遍接受的范围内,那么这些差异就能得到充分解释。仅太阳强迫无法解释观测数据与模型控制运行数据在自相关结构上的差异。

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