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Saturday, April 18, 2015
Volcanic contribution to decadal changes in tropospheric temperature
Despite continued growth in atmospheric levels of greenhouse gases, global mean surface and tropospheric temperatures have shown slower warming since 1998 than previously1, 2, 3, 4, 5. Possible explanations for the slow-down include internal climate variability3, 4, 6, 7, external cooling influences1, 2, 4, 8, 9, 10, 11 and observational errors12, 13. Several recent modelling studies have examined the contribution of early twenty-first-century volcanic eruptions1, 2, 4, 8 to the muted surface warming. Here we present a detailed analysis of the impact of recent volcanic forcing on tropospheric temperature, based on observations as well as climate model simulations. We identify statistically significant correlations between observations of stratospheric aerosol optical depth and satellite-based estimates of both tropospheric temperature and short-wave fluxes at the top of the atmosphere. We show that climate model simulations without the effects of early twenty-first-century volcanic eruptions overestimate the tropospheric warming observed since 1998. In two simulations with more realistic volcanic influences following the 1991 Pinatubo eruption, differences between simulated and observed tropospheric temperature trends over the period 1998 to 2012 are up to 15% smaller, with large uncertainties in the magnitude of the effect. To reduce these uncertainties, better observations of eruption-specific properties of volcanic aerosols are needed, as well as improved representation of these eruption-specific properties in climate model simulations.
Haywood, J. M., Jones, A. & Jones, G. S.The impact of volcanic eruptions in the period 2000-2013 on global mean temperature trends evaluated in the HadGEM2-ES climate model.Atmos. Sci. Lett. (2013)doi:10.1002/asl2.471
Morice, C. P., Kennedy, J. J., Rayner, N. A. & Jones, P. D.Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set. J. Geophys. Res.117, D08101 (2012).
Mears, C., Wentz, F. J., Thorne, P. & Bernie, D.Assessing uncertainty in estimates of atmospheric temperature changes from MSU and AMSU using a Monte-Carlo technique. J. Geophys. Res.116, D08112 (2011).
Christy, J. R., Norris, W. B., Spencer, R. W. & Hnilo, J. J.Tropospheric temperature change since 1979 from tropical radiosonde and satellite measurements. J. Geophys. Res.112,D06102 (2007).
Cowtan, K. & Way, R. G. Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends, Quart. J. Roy. Met. Soc.http://dx.doi.org/10.1002/qj.2297 (in the press)
Taylor, K. E., Stouffer, R. J. & Meehl, G. A.An overview of CMIP5 and the experiment design.Bull. Amer. Meteor. Soc. (2012)doi:10.1175/BAMS-D-11-00094.1
Thompson, D W J., Wallace, J. M., Jones, P. D. & Kennedy, J. J.Identifying signatures of natural climate variability in time series of global-mean surface temperature: Methodology and insights. J. Clim.22, 6120–6141 (2009).