当前位置: X-MOL 学术Nat. Clim. Change › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Using large ensembles of climate change mitigation scenarios for robust insights
Nature Climate Change ( IF 29.6 ) Pub Date : 2022-05-09 , DOI: 10.1038/s41558-022-01349-x
Céline Guivarch 1 , Thomas Le Gallic 2 , Nico Bauer 3 , Elmar Kriegler 3 , Panagiotis Fragkos 4 , Daniel Huppmann 5 , Tamás Krisztin 5 , Keywan Riahi 5 , Fabian Wagner 5 , Marc Jaxa-Rozen 6 , Evelina Trutnevyte 6 , Ilkka Keppo 7 , Giacomo Marangoni 8 , Massimo Tavoni 8, 9 , Steve Pye 10 , Roberto Schaeffer 11 , Detlef van Vuuren 12, 13
Affiliation  

As they gain new users, climate change mitigation scenarios are playing an increasing role in transitions to net zero. One promising practice is the analysis of scenario ensembles. Here we argue that this practice has the potential to bring new and more robust insights compared with the use of single scenarios. However, several important aspects have to be addressed. We identify key methodological challenges and the existing methods and applications that have been or can be used to address these challenges within a three-step approach: (1) pre-processing the ensemble; (2) selecting a few scenarios or analysing the full ensemble; and (3) providing users with efficient access to the information.



中文翻译:

使用大量气候变化缓解情景来获得可靠的见解

随着他们获得新用户,气候变化缓解情景在向净零过渡中发挥着越来越大的作用。一种有前途的实践是对场景集合的分析。在这里,我们认为与使用单一场景相比,这种做法有可能带来新的和更强大的见解。然而,必须解决几个重要方面。我们通过三步方法确定关键的方法学挑战以及已经或可用于解决这些挑战的现有方法和应用:(1)预处理集成;(2) 选择几个场景或分析整个集成;(3) 为用户提供对信息的有效访问。

更新日期:2022-05-12
down
wechat
bug