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2016 Evaluation of Fair Plan 3: Outlook for Global Temperature Change throughout the 21st Century

机译:2016年公平计划3评估:21世纪全球温度变化展望

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In 2013, the author and colleagues made a projection of temperature departures (from the 1961-1990 average) throughout the remainder of the 21st century due both to Humanity and Nature. Two scenarios of human-caused emissions of greenhouse gases and aerosol precursors were examined: (1) A reference scenario with no emissions reductions, and (2) our Fair Plan to Safeguard Earth’s Climate which zeroes emissions from 2020 through 2100. Human-caused temperature changes from 1756 were calculated using an engineering-type Simple Climate Model. Temperature changes due to Nature were projected from our analyses of the observed temperature departures from 1850 through 2012. These natural changes were due to: (1) Three quasi-periodic oscillations (QPOs), each of which we fit with a sine wave to project into the future on a year-by-year basis; (2) Other QPOs that are too irregular to predict yearly, and (3) stochastic noise. We projected natural variations (2) and (3) by the 90% confidence interval of a Normal (Gaussian) probability density function, with zero mean and standard deviation of 0.08°C. Here we add four more years of observed temperature departures to compare with our projections made in 2013. Each of the additional four temperature departure observations for 2013, 2014, 2015 and 2016 fits within the 90% envelop of temperature departures, thereby rendering our projection accurate to date. Most of the temperature changes during the 2012-2016 period were due to the annually unpredictable natural variability. This evaluation will be repeated quadrennially for the remainder of the author’s life.
机译:2013年,作者和同事对由于人文与自然因素造成的21世纪下半叶温度变化(从1961-1990年的平均值)进行了预测。研究了两种人为造成的温室气体和气溶胶前体排放的情景:(1)没有减少排放量的参考情景;(2)我们的《维护地球气候公平计划》,该计划将2020年至2100年的排放量设为零。使用工程类型的简单气候模型计算了1756年以来的变化。自然的温度变化是根据我们对观测到的1850年至2012年温度变化的分析预测得出的。这些自然变化的原因是:(1)三个准周期振荡(QPO),我们每个都拟合一个正弦波进行投影逐年展望未来; (2)其他QPO过于不规则而无法预测年度,以及(3)随机噪声。我们以正态(高斯)概率密度函数的90%置信区间来预测自然变化(2)和(3),均值为零,标准偏差为0.08°C。在这里,我们将观测到的温度偏差又增加了四年,以与我们在2013年所做的预测相比较。2013、2014、2015和2016年的另外四次温度偏差观测值都在90%的温度偏差范围内,从而使我们的预测准确无误至今。在2012-2016年期间,大多数温度变化是由于每年不可预测的自然变化造成的。该评估将在作者余下的生命中每四年进行一次。

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