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Decarbonization rate and the timing and magnitude of the CO2 concentration peak

机译:脱碳率以及CO2浓度峰值的时间和大小

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Carbon-dioxide (CO2) is the main contributor to anthropogenic global warming, and the timing of its peak concentration in the atmosphere is likely to be the major factor in the timing of maximum radiative forcing. Other forcers such as aerosols and non-CO2 greenhouse gases may also influence the timing of maximum radiative forcing. This paper approximates solutions to a linear model of atmospheric CO2 dynamics with four time-constants to identify factors governing the timing of its concentration peak. The most important emissions-related factor is the ratio between average rates at which emissions increase and decrease, which in turn is related to the rate at which the emissions intensity of CO2 is reduced. Rapid decarbonization of CO2 can not only limit global warming but also achieve an early CO2 concentration peak. The most important carbon cycle parameters are the long multi-century time-constant of atmospheric CO2, and the ratio of contributions to the impulse response function of atmospheric CO2 from the infinitely long lived and the multi-century contributions respectively. Reducing uncertainties in these parameters can reduce uncertainty in forecasts of the radiative forcing peak.
机译:二氧化碳(CO2)是人为造成的全球变暖的主要因素,其在大气中的峰值浓度的时间可能是最大辐射强迫时间的主要因素。其他因素,例如气溶胶和非CO2温室气体,也可能影响最大辐射强迫的时机。本文用四个时间常数来近似估算大气CO2动力学线性模型的解,以识别控制其浓度峰值时间的因素。与排放有关的最重要因素是排放增加和减少的平均比率之间的比率,而比率又与减少CO2排放强度的比率有关。 CO2的快速脱碳不仅可以限制全球变暖,而且可以达到早期的CO2浓度峰值。最重要的碳循环参数是大气CO2的长百年时间常数,以及无限长寿和多世纪贡献对大气CO2冲激响应函数的贡献率。减少这些参数的不确定性可以减少辐射强迫峰值预测的不确定性。

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