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Predictability of twentieth century sea-level rise from past data

机译:根据过去的数据对二十世纪海平面上升的可预测性

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The prediction of global sea-level rise is one of the major challenges of climate science. While process-based models are still being improved to capture the complexity of the processes involved, semi-empirical models, exploiting the observed connection between global-mean sea level and global temperature and calibrated with data, have been developed as a complementary approach. Here we investigate whether twentieth century sea-level rise could have been predicted with such models given a knowledge of twentieth century global temperature increase. We find that either proxy or early tide gauge data do not hold enough information to constrain the model parameters well. However, in combination, the use of proxy and tide gauge sea-level data up to 1900 AD allows a good prediction of twentieth century sea-level rise, despite this rise being well outside the rates experienced in previous centuries during the calibration period of the model. The 90% confidence range for the linear twentieth century rise predicted by the semi-empirical model is 13–30?cm, whereas the observed interval (using two tide gauge data sets) is 14–26?cm.
机译:对全球海平面上升的预测是气候科学的主要挑战之一。虽然仍在改进基于过程的模型以捕获所涉及过程的复杂性,但作为补充方法,已经开发了半经验模型,该模型利用了观测到的全球平均海平面与全球温度之间的联系并用数据进行了校准。在这里,我们调查了在已知二十世纪全球温度升高的情况下,是否可以用此类模型预测二十世纪海平面上升。我们发现,代用资料或早期潮位计数据都没有足够的信息来很好地约束模型参数。但是,结合使用代理和潮汐仪直到1900 AD的海平面数据,都可以很好地预测20世纪的海平面上升,尽管这种上升远远超出了前几个世纪在海平面校准期间所经历的速度。模型。半经验模型预测的线性二十世纪上升的90%置信范围是13–30?cm,而观察到的间隔(使用两个潮汐仪数据集)是14–26?cm。

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