Differences in carbon cycle and temperature projections from emission- and concentration-driven earth system model simulations

Differences in carbon cycle and temperature projections from emission- and concentration-driven earth system model simulations
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排放和浓度驱动的地球系统模型模拟的碳循环和温度预测差异

DOI:
10.5194/esdd-5-991-2014
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发表时间:
2014-08
期刊:
Earth Syst. Dynam. Discuss.
影响因子:
--
通讯作者:
Zeng Xiaodong
Zeng Xiaodong
中科院分区:
其他
文献类型:
--
作者:
Shao Pu;Xubin Zeng;Zeng Xiaodong

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抽象的。预测和规定的大气CO2浓度([CO2])对碳吸收和温度的影响进行了研究,使用所有8个地球系统模式(ESM)与耦合模型相互比较项目第5阶段(CMIP 5)的相关输出变量。在RCP8.5情景下,在排放驱动的ESM中,预计2100年的[CO2]差异在-19.7至+207.3 ppm之间。相互作用浓度的纳入也增加了全球变暖的范围,计算为2081-2100年和1850-1869/1861-1880年之间的20年平均差异,从浓度驱动模拟中的2.36 K(即范围从3.11到5.47 K)到排放驱动模拟中的3.51 K,增加了49%。从1980-2011年观测到的全球[CO2]的季节性振幅约为8个排放驱动型ESM的1.2-5.3倍,而[CO2]的季节性在浓度驱动型ESM中被简单忽略,这表明该领域的ESM迫切需要改进。温度-浓度反馈参数α对[CO2](例如,1980-2005年与2075-2100年)比[CO2]的处理方式(即,预后与处方)更敏感。通过使用由温度变化与[CO2]对数的线性回归计算的更合适的参数α',可以大大降低这种灵敏度。然而,α和α'的模型间相对变化仍然很大,这表明需要更详细的研究来理解并希望减少这些差异。
Abstract. The influence of prognostic and prescribed atmospheric CO2 concentrations ([CO2]) on the carbon uptake and temperature is investigated using all eight Earth System Models (ESMs) with relevant output variables from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Under the RCP8.5 scenario, the projected [CO2] differences in 2100 vary from −19.7 to +207.3 ppm in emission-driven ESMs. Incorporation of the interactive concentrations also increases the range of global warming, computed as the 20 year average difference between 2081–2100 and 1850–1869/1861–1880, by 49% from 2.36 K (i.e. ranging from 3.11 to 5.47 K) in the concentration-driven simulations to 3.51 K in the emission-driven simulations. The observed seasonal amplitude of global [CO2] from 1980–2011 is about 1.2–5.3 times as large as those from the eight emission-driven ESMs, while the [CO2] seasonality is simply neglected in concentration-driven ESMs, suggesting the urgent need of ESM improvements in this area. The temperature-concentration feedback parameter α is more sensitive to [CO2] (e.g. during 1980–2005 versus 2075–2100) than how [CO2] is handled (i.e. prognostic versus prescribed). This sensitivity can be substantially reduced by using a more appropriate parameter α' computed from the linear regression of temperature change versus that of the logarithm of [CO2]. However, the inter-model relative variations of both α and α' remain large, suggesting the need of more detailed studies to understand and hopefully reduce these discrepancies.
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