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气象资料检测证明了用气候模型模拟现代温度比用更复杂的湿度平衡模型好得多,而根据地质资料在山区和沿海地区重建和模型模拟的可信度要低一些。所以在比较地质资料和过去气候模拟时要考虑这个实际情况。在当前研究中我们在进行末次大冰期资料-模型比较时以年均温为例。在使用所有点的资料时出现了模拟和重建之间的不一致。相反,当去掉那些模棱两可的地点后结果变得意外的好。在少数情况下结果不同时,边界条件不确定或者资料太少是模型和资料之间不一致的主要原因。通过使用模拟和资料的区域性平均值,我们证明了PMIP能够正确地模拟出地球陆地上区域性的年均温。在区域性研究中因经常使用未经选择的资料作为模型确认值,因而很难获得这一重要的结论。
Meteorological data testing has demonstrated that climate models simulate modern temperatures much better than more complex models of humidity balances, while the credibility of reconstructions and modeling based on geological data in mountainous and coastal areas is lower. So consider this fact when comparing geological data and past climate simulations. In the current study, we take the annual average temperature as an example when comparing the data and model of the last Great Ice Age. There was a discrepancy between simulation and reconstruction when using the data at all points. On the contrary, the result becomes surprising when the ambiguous locations are removed. In rare cases, the results are different, the boundary conditions are uncertain or too little information is the main reason for the inconsistency between the model and the data. Using the regional averages of simulations and data, we demonstrate that PMIP can accurately model the regional average annual temperature on Earth’s land. In regional studies, the use of unselected data is often used as a model validation value, making it difficult to obtain this important conclusion.