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The SMHI Large Ensemble (SMHI-LENS) with EC-Earth3.3.1

机译:SMHI大型集合(SMHI镜头)与EC-earth3.3.1

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The Swedish Meteorological and Hydrological Institute used the global climate model EC-Earth3 to perform a large ensemble of simulations (SMHI-LENS). It consists of 50 members, covers the period 1970 to 2100, and comprises the SSP1-1.9, SSP3-3.4, SSP5-3.4-OS, and SSP5-8.5 scenarios. Thus, it is currently the only large ensemble that allows for analyzing the effect of delayed mitigation actions versus no mitigation efforts and versus earlier efforts leading to similar radiative forcing at the year 2100. We describe the set-up of the SMHI-LENS in detail and provide first examples of its application. The ensemble mean future changes in key variables in the atmosphere and ocean are analyzed and compared against the variability across the ensemble members. In agreement with other large-ensemble simulations, we find that the future changes in the near-surface temperature are more robust than those for precipitation or sea level pressure. As an example of a possible application of the SMHI-LENS, we analyze the probability of exceeding specific global surface warming levels in the different scenarios. None of the scenarios is able to keep global warming in the 21st century below 1.5? ° C . In SSP1-1.9 there is a probability of approximately 70?% to stay below 2? ° C warming, while all other SSPs exceed this target in every single member of SMHI-LENS during the course of the century. We also investigate the point in time when the SSP5-8.5 and SSP5-3.4 ensembles separate, i.e., when their differences become significant, and likewise when the SSP5-3.4-OS and SSP4-3.4 ensembles become similar. Last, we show that the time of emergence of a separation between different scenarios can vary by several decades when reducing the ensemble size to 10 members.
机译:瑞典气象和水文研究所使用了全球气候模型EC-eChart3进行了大量的模拟(SMHI镜头)。它由50个成员组成,涵盖了1970年至2100期间,并包括SSP1-1.9,SSP3-3.4,SSP5-3.4-OS和SSP5-8.5场景。因此,目前唯一允许分析延迟缓解动作与缓解努力的效果的唯一大型集合,并且与在2100年度相似辐射迫使的较早的努力。我们详细描述了SMHI镜头的设置并提供其应用的第一个例子。分析了大气和海洋的关键变量中的整体变化,并与整体成员的可变性进行了分析。在与其他大集合模拟的同意中,我们发现近表面温度的未来变化比沉淀或海平面压力更稳健。作为SMHI镜头可能应用的示例,我们分析了在不同场景中超过了特定的全局表面变暖水平的可能性。没有一个场景能够在21世纪低于1.5以下保持全球变暖? °C。在SSP1-1.9中,概率约为70?%以低于2? °C变暖,而在本世纪的过程中,所有其他SSPS在SMHI镜头的每个成员中超过了这一目标。我们还调查SSP5-8.5和SSP5-3.4集合分开的时间点,即,当它们的差异变得显着时,同样在SSP5-3.4-OS和SSP4-3.4集合变得相似时。最后,我们表明,当将合并大小减少到10个成员时,不同情景之间的分离时间可能会在几十年之间变化。

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