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Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP)

机译:比较地理工程模型互相项目中的不同代层理想化的太阳能地理工程模拟(GeoMip)

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Solar geoengineering has been receiving increased attention in recent years as a potential temporary solution to offset global warming. One method of approximating global-scale solar geoengineering in climate models is via solar reduction experiments. Two generations of models in the Geoengineering Model Intercomparison Project (GeoMIP) have now simulated offsetting a quadrupling of the CO 2 concentration with solar reduction. This simulation is idealized and designed to elicit large responses in the models. Here, we show that energetics, temperature, and hydrological cycle changes in this experiment are statistically indistinguishable between the two ensembles. Of the variables analyzed here, the only major differences involve highly parameterized and uncertain processes, such as cloud forcing or terrestrial net primary productivity. We conclude that despite numerous structural differences and uncertainties in models over the past two generations of models, including an increase in climate sensitivity in the latest generation of models, the models are consistent in their aggregate climate response to global solar dimming.
机译:近年来,太阳能地理工程一直受到更高的关注,作为抵消全球变暖的潜在临时解决方案。在气候模型中近似全球级太阳能地理工程的一种方法是通过太阳能降低实验。地理工程模型相互熟练项目(GeoMIP)中的两代模型现在已经模拟了偏移与太阳能降低的CO 2浓度的四倍化。该模拟非常理想化,旨在引发模型中的大响应。在这里,我们表明该实验中的能量,温度和水文循环变化在两个集合之间存在统计学上难以区分。在此处分析的变量中,唯一的主要差异涉及高度参数化和不确定的过程,例如云强迫或陆地净初级生产率。我们得出结论,尽管过去两代模型的模型中的模型具有许多结构差异和不确定性,但在最新一代模型中的气候敏感性增加,这些模型在其整体气候响应中符合全球太阳病的贡献。

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