Li Chao, Zwiers Francis W, Zhang Xuebin, Fischer Erich M, Du Fujun, Liu Jieyu, Wang Jianyu, Liang Yongxiao, Li Tong, Yuan Lina
Key Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China.
Pacific Climate Impacts Consortium, University of Victoria, Victoria, BC, Canada.
Sci Adv. 2025 Feb 28;11(9):eadr5346. doi: 10.1126/sciadv.adr5346. Epub 2025 Feb 26.
The warming climate is creating increased levels of climate risk because of changes to the hazards to which human and natural systems are exposed. Projections of how those hazards will change are affected by uncertainties in the climate sensitivity of climate models, among other factors. While the level-of-global-warming approach can circumvent model climate sensitivity uncertainties in some applications, practitioners faced with specific adaptation responsibilities often find such projections difficult to use because they generally require time-oriented information. Earth system projections following specified emissions scenarios can, however, be constrained by applying the level-of-global-warming approach to observationally constrained warming projections to yield more reliable time-oriented projections for adaption planning and implementation. This approach also allows individual groups to produce consistent and comparable assessments of multifaceted climate impacts and causal mechanisms, thereby benefiting climate assessments at national and international levels that provide the science basis for adaptation action.
气候变暖正在导致气候风险水平上升,这是因为人类和自然系统所面临的危害发生了变化。除其他因素外,气候模式的气候敏感性存在不确定性,这影响了对这些危害将如何变化的预测。虽然全球变暖水平方法在某些应用中可以规避模式气候敏感性的不确定性,但面临具体适应责任的从业者往往发现这些预测难以使用,因为它们通常需要面向时间的信息。然而,通过将全球变暖水平方法应用于受观测约束的变暖预测,从而为适应规划和实施得出更可靠的面向时间的预测,可以对遵循特定排放情景的地球系统预测加以限制。这种方法还允许各个团体对多方面的气候影响和因果机制进行一致且可比的评估,从而使为适应行动提供科学依据的国家和国际层面的气候评估受益。