模拟人类与气候的相互作用

H. Jacoby
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引用次数: 0

摘要

如果要让决策者和公众充分了解气候变化的威胁,气候模型就需要包括远远超出其传统边界的成分。在过去的几十年里,气候化学与气象学、海洋学和陆地生物学的结合已经实现。最近,这些研究的范围已扩大到包括影响地球的人类系统、潜在变化的社会和生态后果,以及导致尝试减缓和适应的政治进程。例如,关键问题,如气候变化风险的相对严重性,政策长期目标的选择,以及在不确定性可能减少的情况下对今天决策的分析,如果没有气候系统的自然科学和人类反应的社会和行为科学方面的联合应用,就无法正确理解。尽管一体化努力对理解气候问题作出了重大贡献,但令人生畏的智力和体制障碍阻碍了必要的进展。然而,从长期来看,决定适当的政策将是一项持续的任务,因此,扩大气候模拟和评估范围的努力也值得长期关注。这项工作的组成部分包括发展各种分析方法,维持近距离决策支持和科学/政策研究之间的明确划分,以及发展能够长期维持综合研究的资助机构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling human-climate interaction
If policymakers and the public are to be adequately informed about the climate change threat, climate modeling needs to include components far outside its conventional boundaries. An integration of climate chemistry and meteorology, oceanography, and terrestrial biology has been achieved over the past few decades. More recently the scope of these studies has been expanded to include the human systems that influence the planet, the social and ecological consequences of potential change, and the political processes that lead to attempts at mitigation and adaptation. For example, key issues-like the relative seriousness of climate change risk, the choice of long-term goals for policy, and the analysis of today's decisions when uncertainty may be reduced tomorrow-cannot be correctly understood without joint application of the natural science of the climate system and social and behavioral science aspects of human response. Though integration efforts have made significant contributions to understanding of the climate issue, daunting intellectual and institutional barriers stand in the way of needed progress. Deciding appropriate policies will be a continuing task over the long term, however, so efforts to extend the boundaries of climate modeling and assessment merit long-term attention as well. Components of the effort include development of a variety of approaches to analysis, the maintenance of a clear a division between close-in decision support and science/policy research, and the development of funding institutions that can sustain integrated research over the long haul.
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