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在结合人类与地球系统分析中,量化社会经济和气候不确定性
Jennifer Morris1, Andrei Sokolov2, John Reilly2
1MIT Center for Sustainability Science and Strategy, Massachusetts Institute of Technology, Cambridge, MA, USA. holak@mit.edu.
Nature communications
|March 20, 2025
概括
政策干预有效地减少了极端气温上升,但气候和社会经济因素的不确定性仍然存在. 综合建模显示,尽管政策成本各不相同,但可再生能源是可靠的投资,特别是在发展中国家.
科学领域:
- 气候科学 气候科学
- 社会经济学 社会经济学
- 综合评估建模 综合评估建模
背景情况:
- 有信息的气候缓解和适应战略需要了解各种结果的概率.
- 结合的人类与地球系统模型对于全面的气候预测至关重要.
研究的目的:
- 提供综合,概率的社会经济和气候预测.
- 量化气候和社会经济参数中的不确定性,以改善决策.
主要方法:
- 利用关键人类和地球系统参数的概率分布的合模型.
- 综合社会经济和气候预测,以评估政策影响和不确定性.
主要成果:
- 政策干预大大降低了极端气温上升的可能性.
- 地球系统的不确定性对温度的不确定性比人类系统的不确定性在非固定的排放场景中贡献得更大.
- 来自人类和地球系统的联合不确定性不算是附加值,突出了综合建模的好处.
结论:
- 在各种政策和社会经济情景中,可再生能源投资强.
- 政策成本在低收入和中等收入经济体表现出更大的不确定性.
- 综合建模对于理解影响气候结果的因素的复杂相互作用至关重要.
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