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Radiative forcing by well-mixed greenhouse gases: Estimates from climate models in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4)

机译:充分混合的温室气体的辐射强迫:政府间气候变化专门委员会(IPCC)第四次评估报告(AR4)中气候模式的估计

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摘要

The radiative effects from increased concentrations of well-mixed greenhouse gases (WMGHGs) represent the most significant and best understood anthropogenic forcing of the climate system. The most comprehensive tools for simulating past and future climates influenced by WMGHGs are fully coupled atmosphere-ocean general circulation models (AOGCMs). Because of the importance of WMGHGs as forcing agents it is essential that AOGCMs compute the radiative forcing by these gases as accurately as possible. We present the results of a radiative transfer model intercomparison between the forcings computed by the radiative parameterizations of AOGCMs and by benchmark line-by-line (LBL) codes. The comparison is focused on forcing by CO2, CH4, N2O, CFC-11, CFC-12, and the increased H2O expected in warmer climates. The models included in the intercomparison include several LBL codes and most of the global models submitted to the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). In general, the LBL models are in excellent agreement with each other. However, in many cases, there are substantial discrepancies among the AOGCMs and between the AOGCMs and LBL codes. In some cases this is because the AOGCMs neglect particular absorbers, in particular the near-infrared effects of CH4 and N2O, while in others it is due to the methods for modeling the radiative processes. The biases in the AOGCM forcings are generally largest at the surface level. We quantify these differences and discuss the implications for interpreting variations in forcing and response across the multimodel ensemble of AOGCM simulations assembled for the IPCC AR4.
机译:高度混合的温室气体(WMGHGs)浓度增加产生的辐射效应代表了气候系统中最重要,最人为理解的强迫。用于模拟受WMGHG影响的过去和未来气候的最全面工具是完全耦合的大气海洋总循环模型(AOGCM)。由于WMGHG作为强迫剂的重要性,因此AOGCM必须尽可能准确地计算这些气体的辐射强迫。我们介绍了由AOGCM的辐射参数化和基准逐行(LBL)代码计算的强迫之间的辐射传递模型比对的结果。比较的重点是CO2,CH4,N2O,CFC-11,CFC-12的强迫以及在温暖气候下预期的H2O增加。相互比较中包含的模型包括多个LBL代码以及提交给政府间气候变化专门委员会(IPCC)第四次评估报告(AR4)的大多数全球模型。通常,LBL模型彼此之间具有很好的一致性。但是,在许多情况下,AOGCM之间以及AOGCM和LBL代码之间存在很大差异。在某些情况下,这是因为AOGCM忽略了特定的吸收剂,特别是CH4和N2O的近红外效应,而在另一些情况下,则是由于对辐射过程进行建模的方法所致。 AOGCM强制中的偏差通常在表面级别最大。我们对这些差异进行了量化,并讨论了在为IPCC AR4组装的AOGCM仿真的多模型合集中解释强迫和响应中的变化的含义。

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