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Anthropogenic influence on the autocorrelation structure of hemispheric- mean temperatures

Research output: Contribution to journal › Article › peer-review

74 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1676-1679
Number of pages4
JournalScience
Volume282
Issue number5394
DOIs
Publication statusPublished - 27 Nov 1998

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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