Pervasive Warming Bias in CMIP6 Tropospheric Layers

Abstract The tendency of climate models to overstate warming in the tropical troposphere has long been noted. Here we examine individual runs from 38 newly released Coupled Model Intercomparison Project Version 6 (CMIP6) models and show that the warm bias is now observable globally as well. We compa...

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Main Authors: R. McKitrick, J. Christy
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-09-01
Series:Earth and Space Science
Subjects:
Online Access:https://doi.org/10.1029/2020EA001281
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spelling doaj-db2f8f1d5e4245adb6b592988c474e2a2021-08-21T13:31:46ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842020-09-0179n/an/a10.1029/2020EA001281Pervasive Warming Bias in CMIP6 Tropospheric LayersR. McKitrick0J. Christy1Department of Economics and Finance University of Guelph Guelph Ontario CanadaEarth System Science Center University of Alabama in Huntsville Huntsville AL USAAbstract The tendency of climate models to overstate warming in the tropical troposphere has long been noted. Here we examine individual runs from 38 newly released Coupled Model Intercomparison Project Version 6 (CMIP6) models and show that the warm bias is now observable globally as well. We compare CMIP6 runs against observational series drawn from satellites, weather balloons, and reanalysis products. We focus on the 1979–2014 interval, the maximum span for which all observational products are available and for which models were run using historically observed forcings. For lower‐troposphere and midtroposphere layers both globally and in the tropics, all 38 models overpredict warming in every target observational analog, in most cases significantly so, and the average differences between models and observations are statistically significant. We present evidence that consistency with observed warming would require lower model Equilibrium Climate Sensitivity (ECS) values.https://doi.org/10.1029/2020EA001281troposphereglobal warmingclimate model testingtrend estimationclimate sensitivity
collection DOAJ
language English
format Article
sources DOAJ
author R. McKitrick
J. Christy
spellingShingle R. McKitrick
J. Christy
Pervasive Warming Bias in CMIP6 Tropospheric Layers
Earth and Space Science
troposphere
global warming
climate model testing
trend estimation
climate sensitivity
author_facet R. McKitrick
J. Christy
author_sort R. McKitrick
title Pervasive Warming Bias in CMIP6 Tropospheric Layers
title_short Pervasive Warming Bias in CMIP6 Tropospheric Layers
title_full Pervasive Warming Bias in CMIP6 Tropospheric Layers
title_fullStr Pervasive Warming Bias in CMIP6 Tropospheric Layers
title_full_unstemmed Pervasive Warming Bias in CMIP6 Tropospheric Layers
title_sort pervasive warming bias in cmip6 tropospheric layers
publisher American Geophysical Union (AGU)
series Earth and Space Science
issn 2333-5084
publishDate 2020-09-01
description Abstract The tendency of climate models to overstate warming in the tropical troposphere has long been noted. Here we examine individual runs from 38 newly released Coupled Model Intercomparison Project Version 6 (CMIP6) models and show that the warm bias is now observable globally as well. We compare CMIP6 runs against observational series drawn from satellites, weather balloons, and reanalysis products. We focus on the 1979–2014 interval, the maximum span for which all observational products are available and for which models were run using historically observed forcings. For lower‐troposphere and midtroposphere layers both globally and in the tropics, all 38 models overpredict warming in every target observational analog, in most cases significantly so, and the average differences between models and observations are statistically significant. We present evidence that consistency with observed warming would require lower model Equilibrium Climate Sensitivity (ECS) values.
topic troposphere
global warming
climate model testing
trend estimation
climate sensitivity
url https://doi.org/10.1029/2020EA001281
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AT jchristy pervasivewarmingbiasincmip6troposphericlayers
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