计算机科学
气候变化
钥匙(锁)
数据科学
减缓气候变化
作者
Céline Guivarch,Nico Bauer,Panagiotis Fragkos,Daniel Huppmann,Marc Jaxa-Rozen,Ilkka Keppo,Tamás Krisztin,Giacomo Marangoni,Steve Pye,Keywan Riahi,Roberto Schaeffer,Evelina Trutnevyte,Detlef P. van Vuuren,Fabian Wagner
标识
DOI:10.1038/s41558-022-01349-x
摘要
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.
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