An analysis of simulated and observed global mean near-surface air temperature anomalies from 1979 to 1999: trends and attribution of causes

R.M. MacKay , M.K.W. Ko
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引用次数: 3

Abstract

The 1979–1999 response of the climate system to variations in solar spectral irradiance is estimated by comparing the global averaged surface temperature anomalies simulated by a 2-D energy balance climate model to observed temperature anomalies. We perform a multiple regression of southern oscillation index and the individual model responses to solar irradiance variations, stratospheric and tropospheric aerosol loading, stratospheric ozone trends, and greenhouse gases onto each of five near-surface temperature anomaly data sets. We estimate the observed difference in global mean near-surface air temperature attributable to the solar irradiance difference between solar maximum and solar minimum to be between 0.06 and 0.11 K, and that 1.1–3.8% of the total variance in monthly mean near-surface air temperature data is attributable to variations in solar spectral irradiance. For the five temperature data sets used in our analysis, the trends in raw monthly mean temperature anomaly data have a large range, spanning a factor of 3 from 0.06 to 0.17 K/decade. However, our analysis suggests that trends in monthly temperature anomalies attributable to the combination of greenhouse gas, stratospheric ozone, and tropospheric sulfate aerosol variations are much more consistent among data sets, ranging from 0.16 to 0.24 K/decade. Our model results suggest that roughly half of the warming from greenhouse gases is cancelled by the cooling from changes in stratospheric ozone. Tropospheric sulfate aerosol loading in the present day atmosphere contributes significantly to the net radiative forcing of the present day climate system. However, because the change in magnitude and latitudinal distribution of tropospheric sulfate aerosol has been small over the past 20 years, the change in the direct radiative forcing attributable to changes in aerosol loading over this time is also small.

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1979 - 1999年模拟和观测的全球平均近地表气温异常分析:趋势和原因归因
通过比较二维能量平衡气候模式模拟的全球平均地表温度异常与观测到的温度异常,估计了1979-1999年气候系统对太阳光谱辐照度变化的响应。我们对五个近地表温度异常数据集分别进行了南方涛动指数和单个模式对太阳辐照度变化、平流层和对流层气溶胶负荷、平流层臭氧趋势和温室气体的响应的多元回归。我们估计全球近地表平均气温观测值的差异可归因于太阳最大和最小太阳辐照度的差异在0.06 ~ 0.11 K之间,而月平均近地表气温数据的总方差的1.1 ~ 3.8%可归因于太阳光谱辐照度的变化。对于我们分析使用的5个温度数据集,原始月平均温度异常数据的趋势变化幅度很大,在0.06 ~ 0.17 K/ a之间的3倍范围内。然而,我们的分析表明,温室气体、平流层臭氧和对流层硫酸盐气溶胶变化共同导致的月温度异常趋势在数据集之间更为一致,范围在0.16至0.24 K/ 10年之间。我们的模型结果表明,由温室气体引起的变暖大约有一半被平流层臭氧变化引起的冷却所抵消。当今大气中对流层硫酸盐气溶胶负荷对当今气候系统的净辐射强迫有重大贡献。然而,由于过去20年来对流层硫酸盐气溶胶的量级和纬向分布的变化很小,因此这一时期气溶胶负荷变化引起的直接辐射强迫的变化也很小。
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