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Kilometre-scale Earth system models to support the renewable energy transition: a combination of storyline methodologies

delete2025-12-16
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OA
AI
E
Eulàlia Baulenas *
M
Menno Veerman *
E
Edgar Dolores-Tesillos
A
Aleksander Lacima
C
Carlos Delgado‐Torres
K
Kerstin Haslehner
A
Arjun Kumar
A
Albert Soret
D
Dragana Bojović
DOI:10.1016/j.erss.2025.104513delete
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Abstract

Abstract

En 中文
Kilometre-scale Earth system models (km-ESMs) represent a significant advancement in climate modelling, offering unprecedented spatial detail. To ensure their societal relevance, this study explores how combining storyline methodologies can bridge science and decision-making in the context of the renewable energy transition. The study conducted a discourse-based stakeholder mapping and through participatory workshops, three scenario storylines were co-produced reflecting divergent energy futures. These scenarios were implemented through masking km-scale climate simulations. This process facilitated the communication of complex model outputs to non-technical participants, and also fostered reflection on how such information could inform their own and interdependent decision-making within the energy transition. The joint discussions highlighted the trade-offs and synergies between renewable energy production, biodiversity protection, and community empowerment. Stakeholders identified key climate information needs from different perspectives of the renewable energy sector, stressing the value of km-scale resolution data in regional planning and infrastructure resilience. By treating storylines as boundary objects, we demonstrate how local narratives can inform model development and how models can, in turn, support societal processes of relevance. Our results underscore the potential of co-produced, discourse-driven scenario storylines to enhance the usability and impact of emerging climate modelling tools.
Keywords:
Scenario methodologies
Renewable energy
Interdisciplinarity
Science communication
Km-scale climate models
Stakeholder engagement
Social science and humanities
Boundary object
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Energy Research and Social Science cover
Energy Research and Social Science
IF:
7.4
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4.0K
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2.2W

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V
vienna university
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1
Papers: 1
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B
barcelona supercomputing center (bsc)
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W
Wageningen University
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University of Bern
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