我们应该把受观察限制的多十年气候预测看作是预测吗?
Tong Li1, Francis W Zwiers1,2, Xuebin Zhang1
1Pacific Climate Impacts Consortium, University of Victoria, Victoria, BC, Canada.
Science advances
|May 16, 2025
概括
预测未来的变暖是更准确的,当条件在历史的温度数据. 这种方法改进了气候模型的预测,为政策决策提供了可靠的长期气候变化见解.
科学领域:
- 气候科学 气候科学
- 气候建模气候模型
- 统计数据缩小规模化
背景情况:
- 气候模型预测了一系列未来变暖情景.
- 对观察到的变暖的条件预测可以缩小未来的估计.
- 这些有条件预测的质量需要进一步评估.
研究的目的:
- 评估历史温度数据是否可以改进气候模型的变暖预测.
- 评估条件预测作为长期气候预测的技巧.
- 为了比较不同调节方法的有效性.
主要方法:
- 在共享经济路径 (SSP) 1-2.6和SSP5-8.5情景下利用了气候模型模拟.
- 应用了Kriging for Climate Change (KCC) 方法来调整原始多模型预测.
- 评估了对20年和50年的温度变化在各种气候敏感度的预测技能.
主要成果:
- 在整个仪表温度记录上预测变暖的条件显著降低了不确定性和偏差.
- KCC方法在改善不同气候敏感度的投影质量方面被证明是有效的.
- 更简单的方法或仅使用最近的数据在限制变暖预测方面效果不佳.
结论:
- 以历史数据为条件的变暖预测,特别是使用KCC,可以被认为是高技能的长期预测.
- 这些精细的预测为制定全球气候政策提供了有价值,可靠的信息.
- 整个仪器记录提供了比部分或最近数据更强大的约束.
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