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Using large ensembles of climate change mitigation scenarios for robust insights

  • Céline Guivarch
  • , Thomas Le Gallic
  • , Nico Bauer
  • , Panagiotis Fragkos
  • , Daniel Huppmann
  • , Marc Jaxa-Rozen
  • , Ilkka Keppo
  • , Elmar Kriegler
  • , Tamás Krisztin
  • , Giacomo Marangoni
  • , Steve Pye
  • , Keywan Riahi
  • , Roberto Schaeffer
  • , Massimo Tavoni
  • , Evelina Trutnevyte
  • , Detlef van Vuuren
  • , Fabian Wagner
  • CIRED
  • Potsdam Institute for Climate Impact Research (PIK)
  • E3-Modelling
  • International Institute for Applied Systems Analysis (IIASA)
  • University of Geneva
  • Aalto University
  • Centro Euro-mediterraneo sui Cambiamenti Climatici (CMCC)
  • University College London
  • Instituto de Biofisica da UFRJ
  • Politecnico di Milano
  • PBL Netherlands Environmental Assessment Agency
  • Universiteit Utrecht

Résultats de recherche: Contribution à un journalArticle de révisionRevue par des pairs

Résumé

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.

langue originaleAnglais
Pages (de - à)428-435
Nombre de pages8
journalNature Climate Change
Volume12
Numéro de publication5
Les DOIs
étatPublié - 1 mai 2022
Modification externeOui

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

  1. SDG 13 - Action climatique
    SDG 13 Action climatique

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