到2100年气候预测的分数能量平衡方程

R. Procyk, S. Lovejoy, R. Hébert
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引用次数: 17

摘要

摘要我们使用分数能量平衡方程(FEBE)进行21世纪的气候预测,这是标准EBE的推广。FEBE既可以由Budyko-Sellers模型推导,也可以通过将尺度对称应用于能量存储过程的现象学方法推导。通过将EBE中存储(导数)项的整数顺序更改为1/2附近的小数值,可以很容易地实现它。FEBE有两个形状参数:标度指数H和弛豫时间τ;其振幅参数为平衡气候敏感性(ECS)。该强迫还需要两个附加参数:气溶胶重新校准因子α(用于解释气溶胶的大不确定性)和火山间歇校正指数ν。采用基于历史温度、自然强迫和人为强迫序列的贝叶斯框架进行参数估计。值得注意的是,误差模型不是临时的,而是由模型本身预测的:内部变率对白噪声内部强迫的响应。与通常的EBE H = 1相比,形状参数的90%置信区间(CI)为H =[0.33, 0.44](中位数= 0.38),τ =[2.4, 7.0](中位数= 4.7)年,文献值τ通常在2-8年范围内。与标准值α = ν = 1相比,气溶胶的平均因子α =[0.2, 1.0](中位数= 0.6)过于强烈,火山间歇校正指数ν =[0.15, 0.41](中位数= 0.28)。超强气溶胶支持对全球现代(2005年)气溶胶的修订,与IPCC第5次评估报告的范围[1.5,4.5]K相比,将90% CI强迫到更窄的[- 1.0,- 0.2]wm - 2范围(中位数= 3.2 K)。同样,我们发现瞬态气候敏感性(TCR) = [1.2, 1.8] K(中位数= 1.5 K),而AR5范围TCR = [1.0, 2.5] K(中位数= 1.8 K)。因此,正如在其他基于观测的研究中常见的那样,FEBE值略低,但仍与IPCC第五次评估报告的值一致。使用这些参数,我们使用代表性碳路径(RCP)和共享社会经济路径(SSP)情景对2100年进行了预测,并与CMIP5/6 mme一起显示。FEBE后估(1880-2019)密切遵循观测结果(特别是在1998-2015年的间歇期)。总体而言,FEBE较低10 - 15%,但由于其不确定性较小,其90% ci完全位于GCM 90% ci内。因此,FEBE是对gcm的补充和支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Fractional Energy Balance Equation for Climate projections through 2100
Abstract. We produce climate projections through the 21st century using the fractional energy balance equation (FEBE) which is a generalization of the standard EBE. The FEBE can be derived either from Budyko–Sellers models or phenomenologically by applying the scaling symmetry to energy storage processes. It is easily implemented by changing the integer order of the storage (derivative) term in the EBE to a fractional value near 1/2. The FEBE has two shape parameters: a scaling exponent H and relaxation time τ; its amplitude parameter is the equilibrium climate sensitivity (ECS). Two additional parameters were needed for the forcing: an aerosol re-calibration factor α to account for the large aerosol uncertainty, and a volcanic intermittency correction exponent ν. A Bayesian framework based on historical temperatures and natural and anthropogenic forcing series was used for parameter estimation. Significantly, the error model was not ad hoc, but was predicted by the model itself: the internal variability response to white noise internal forcing. The 90 % Confidence Interval (CI) of the shape parameters were H = [0.33, 0.44] (median = 0.38), τ = [2.4, 7.0] (median = 4.7) years compared to the usual EBE H = 1, and literature values τ typically in the range 2–8 years. We found that aerosols were too strong by an average factor α = [0.2, 1.0] (median = 0.6) and the volcanic intermittency correction exponent was ν = [0.15, 0.41] (median = 0.28) compared to standard values α = ν = 1. The overpowered aerosols support a revision of the global modern (2005) aerosol forcing 90 % CI to a narrower range [−1.0, −0.2] W m−2 compared with the IPCC AR5 range [1.5, 4.5] K (median = 3.2 K). Similarly, we found the transient climate sensitivity (TCR) = [1.2, 1.8] K (median = 1.5 K) compared to the AR5 range TCR = [1.0, 2.5] K (median = 1.8 K). As commonly seen in other observational-based studies, the FEBE values are therefore somewhat lower but still consistent with those in IPCC AR5. Using these parameters we made projections to 2100 using both the Representative Carbon Pathways (RCP) and Shared Socioeconomic Pathways (SSP) scenarios and shown alongside the CMIP5/6 MME. The FEBE hindprojections (1880–2019) closely follow observations (notably during the hiatus, 1998–2015). Overall the FEBE were 10–15 % lower but due to their smaller uncertainties, their 90 % CIs lie completely within the GCM 90 % CIs. The FEBE thus complements and supports the GCMs.
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