Statistics – Methodology
Scientific paper
May 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006georl..3309702s&link_type=abstract
Geophysical Research Letters, Volume 33, Issue 9, CiteID L09702
Statistics
Methodology
3
Global Change: Atmosphere (0315, 0325), Global Change: Climate Dynamics (0429, 3309), Global Change: Global Climate Models (3337, 4928)
Scientific paper
Causes of the global surface air temperature warming in the early half of the 20th century are examined using a climate model and an optimal detection/attribution methodology. While the anthropogenic response seems to be underestimated in our model, our previous study detected the influence due to natural external forcing, including the combined effects of solar irradiance changes and the recovery from large volcanic activity. We further partition the responses between these two natural external factors, detecting both the solar and the volcanic signal in the observed early warming. A diagnosis of the sensitivity to solar forcing and a volcanic super-eruption simulation suggest that our model possesses larger climate sensitivities to solar forcing and longer relaxation times to volcanic forcing than HadCM3, enabling us to detect both the solar and volcanic forcing responses.
Crooks Simon A.
Nagashima Tatsuya
Nozawa Toru
Shiogama Hideo
Yokohata Tokuta
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