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  • 标题:US daily temperature records past, present, and future
  • 本地全文:下载
  • 作者:Gerald A. Meehl ; Claudia Tebaldi ; Dennis Adams-Smith
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2016
  • 卷号:113
  • 期号:49
  • 页码:13977-13982
  • DOI:10.1073/pnas.1606117113
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:SignificanceFuture changes in temperature extremes over the continental United States are represented by the ratio of daily record high maximum temperatures to daily record low minimum temperatures and computed as a function of mean temperature increase that does not depend on scenario. A nonlinear empirical fit of the relation between this ratio and average temperature, using observations from 1930 to 2015, is extended to 2100 and compared with the climate model projections. The projections of the ratio are somewhat higher than the empirical projection from observations, continuing a positively biased trend in daily record high temperatures in the 20th century in the models, which we link to less-than-observed summer precipitation and evapotranspiration. Observed temperature extremes over the continental United States can be represented by the ratio of daily record high temperatures to daily record low minimum temperatures, and this ratio has increased to a value of about 2 to 1, averaged over the first decade of the 21st century, albeit with large interannual variability. Two different versions of a global coupled climate model (CCSM4), as well as 23 other coupled model intercomparison project phase 5 (CMIP5) models, show larger values of this ratio than observations, mainly as a result of greater numbers of record highs since the 1980s compared with observations. This is partly because of the "warm 1930s" in the observations, which made it more difficult to set record highs later in the century, and partly because of a trend toward less rainfall and reduced evapotranspiration in the model versions compared with observations. We compute future projections of this ratio on the basis of its estimated dependence on mean temperature increase, which we find robustly at play in both observations and simulations. The use of this relation also has the advantage of removing dependence of a projection on a specific scenario. An empirical projection of the ratio of record highs to record lows is obtained from the nonlinear relationship in observations from 1930 to 2015, thus correcting downward the likely biased future projections of the model. For example, for a 3 {degrees}C warming in US temperatures, the ratio of record highs to lows is projected to be [~]15 {+/-} 8 compared to the present average ratio of just over 2.
  • 关键词:temperature extremes ; temperature records ; global warming ; large ensemble
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