4.6 Article

Agreement in late twentieth century Southern Hemisphere stratospheric temperature trends in observations and CCMVal-2, CMIP3, and CMIP5 models

期刊

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
卷 118, 期 2, 页码 605-613

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/jgrd.50126

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资金

  1. National Center for Atmospheric Research
  2. National Science Foundation
  3. Austrian Science Funds (FWF) [P21772-N22]
  4. Austrian Science Fund (FWF) [P 21772] Funding Source: researchfish
  5. Natural Environment Research Council [ceh010010] Funding Source: researchfish
  6. Austrian Science Fund (FWF) [P21772] Funding Source: Austrian Science Fund (FWF)

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We present a comparison of temperature trends using different satellite and radiosonde observations and climate (GCM) and chemistry-climate model (CCM) outputs, focusing on the role of photochemical ozone depletion in the Antarctic lower stratosphere during the second half of the twentieth century. Ozone-induced stratospheric cooling peaks during November at an altitude of approximately 100 hPa in radiosonde observations, with 1969 to 1998 trends in the range of -3.8 to -4.7 K/dec. This stratospheric cooling trend is more than 50% greater than the previously estimated value of -2.4 K/dec, which suggested that the CCMs were overestimating the stratospheric cooling, and that the less complex GCMs forced by prescribed ozone were matching observations better. Corresponding ensemble mean model trends are -3.8K/dec for the CCMs, -3.5K/dec for the CMIP5 GCMs, and -2.7K/dec for the CMIP3 GCMs. Accounting for various sources of uncertainty-including sampling uncertainty, measurement error, model spread, and trend confidence intervals-observations and CCM and GCM ensembles are consistent in this new analysis. This consistency does not apply to each individual that makes up the GCM and CCM ensembles, and some do not show significant ozone-induced cooling. Nonetheless, analysis of the joint ozone and temperature trends in the CCMs suggests that the modeled cooling/ozone-depletion relationship is within the range of observations. Overall, this study emphasizes the need to use a wide range of observations for model validation as well as sufficient accounting of uncertainty in both models and measurements.

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