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Towards regional projections of twenty-first century sea-level change based on IPCC SRES scenarios

机译:基于IPCC SRES情景对二十一世纪海平面变化的区域预测

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摘要

Sea-level change is often considered to be globally uniform in sea-level projections. However, local relative sea-level (RSL) change can deviate substantially from the global mean. Here, we present maps of twenty-first century local RSL change estimates based on an ensemble of coupled climate model simulations for three emission scenarios. In the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4), the same model simulations were used for their projections of global mean sea-level rise. The contribution of the small glaciers and ice caps to local RSL change is calculated with a glacier model, based on a volume-area approach. The contributions of the Greenland and Antarctic ice sheets are obtained from IPCC AR4 estimates. The RSL distribution resulting from the land ice mass changes is then calculated by solving the sea-level equation for a rotating, elastic Earth model. Next, we add the pattern of steric RSL changes obtained from the coupled climate models and a model estimate for the effect of Glacial Isostatic Adjustment. The resulting ensemble mean RSL pattern reveals that many regions will experience RSL changes that differ substantially from the global mean. For the A1B ensemble, local RSL change values range from -3.91 to 0.79 m, with a global mean of 0.47 m. Although the RSL amplitude differs, the spatial patterns are similar for all three emission scenarios. The spread in the projections is dominated by the distribution of the steric contribution, at least for the processes included in this study. Extreme ice loss scenarios may alter this picture. For individual sites, we find a standard deviation for the combined contributions of approximately 10 cm, regardless of emission scenario
机译:在海平面预测中,海平面变化通常被认为是全球统一的。但是,当地相对海平面(RSL)的变化可能与全球平均水平大不相同。在这里,我们基于三种排放情景的耦合气候模型模拟的整体,展示了二十一世纪当地RSL变化估计值的地图。在政府间气候变化专门委员会第四次评估报告(IPCC AR4)中,使用相同的模型模拟来预测全球平均海平面上升。小型冰川和冰盖对局部RSL变化的贡献是通过冰川模型基于体积-面积方法来计算的。格陵兰和南极冰盖的贡献是从IPCC AR4估算中获得的。然后,通过求解旋转的弹性地球模型的海平面方程,计算出由陆地冰量变化产生的RSL分布。接下来,我们添加从耦合气候模型获得的空间RSL变化的模式以及冰川等静压调整的模型估计。由此产生的整体平均RSL模式表明,许多地区将经历与整体均值大不相同的RSL变化。对于A1B集合,局部RSL变化值的范围是-3.91至0.79 m,全局平均值为0.47 m。尽管RSL幅度不同,但对于所有三种发射方案,空间模式都是相似的。至少对于本研究中所包括的过程,预测的分布主要由空间贡献的分布决定。极端失冰的情况可能会改变这种状况。对于单个站点,无论排放情况如何,我们都会找到约10 cm的组合贡献的标准偏差

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