Invited perspectives: Towards usable compound event research
Abstract
Supporting stakeholders with science-based decision-making to mitigate and adapt to climate change impacts is a central mandate of the climate research community. In particular, mapping out scenario-dependent climate risk landscapes is one of the most pressing challenges. Increasingly, communities and regions are experiencing highimpact climate and weather extremes that arise from a complex interplay of processes and events acting across various spatial and temporal scales. To account for these emerging trends, there is a growing recognition that both climate impact and early warning research needs to incorporate risks from compound events to better inform climate adaptation and mitigation efforts. This demand for more fine-grained and applicable knowledge gives rise to new data and modeling needs, and can increase uncertainties. Consequently, new methodological approaches and effective communication strategies are required for making research usable outside scientific communities. In this perspective, we reflect on this usability challenge by discussing impact data products, early warning and modeling capabilities, and communication tools, urging climate impact scientists to increasingly incorporate usability considerations in their research to meet the pressing demand for usable compound event research.
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BibTeX
@article{kornhuber2026invited,
title = {{Invited perspectives: Towards usable compound event research}},
author = {Kai Kornhuber and Emanuele Bevacqua and Mariana Madruga de Brito and Wiebke S Jäger and Pauline Rivoire and Cassandra D W Rogers and Fabiola Banfi and Fulden Batibeniz and James Carruthers and Carlo de Michele and Silvia De Angeli and Cristina Deidda and Marleen C de Ruiter and Andreas H Fink and Henrique M D Goulart and Katharina Küpfer and Patrick Ludwig and Douglas Maraun and Gabriele Messori and Shruti Nath and Fiachra O'Loughlin and Joaquim G Pinto and Benjamin Poschlod and Alexandre M Ramos and Colin Raymond and Andreia F S Ribeiro and Deepti Singh and Laura Suarez Gutierrez and Philip J Ward and Christopher J White},
journal = {Natural Hazards and Earth System Sciences},
year = {2026},
month = sep,
doi = {10.5194/nhess-26-4309-2026},
url = {https://hal.science/hal-05751284v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Invited perspectives: Towards usable compound event research
AU - Kai Kornhuber
AU - Emanuele Bevacqua
AU - Mariana Madruga de Brito
AU - Wiebke S Jäger
AU - Pauline Rivoire
AU - Cassandra D W Rogers
AU - Fabiola Banfi
AU - Fulden Batibeniz
AU - James Carruthers
AU - Carlo de Michele
AU - Silvia De Angeli
AU - Cristina Deidda
AU - Marleen C de Ruiter
AU - Andreas H Fink
AU - Henrique M D Goulart
AU - Katharina Küpfer
AU - Patrick Ludwig
AU - Douglas Maraun
AU - Gabriele Messori
AU - Shruti Nath
AU - Fiachra O'Loughlin
AU - Joaquim G Pinto
AU - Benjamin Poschlod
AU - Alexandre M Ramos
AU - Colin Raymond
AU - Andreia F S Ribeiro
AU - Deepti Singh
AU - Laura Suarez Gutierrez
AU - Philip J Ward
AU - Christopher J White
PY - 2026
DA - 2026/09/16
JO - Natural Hazards and Earth System Sciences
DO - 10.5194/nhess-26-4309-2026
UR - https://hal.science/hal-05751284v1
AB - Supporting stakeholders with science-based decision-making to mitigate and adapt to climate change impacts is a central mandate of the climate research community. In particular, mapping out scenario-dependent climate risk landscapes is one of the most pressing challenges. Increasingly, communities and regions are experiencing highimpact climate and weather extremes that arise from a complex interplay of processes and events acting across various spatial and temporal scales. To account for these emerging trends, there is a growing recognition that both climate impact and early warning research needs to incorporate risks from compound events to better inform climate adaptation and mitigation efforts. This demand for more fine-grained and applicable knowledge gives rise to new data and modeling needs, and can increase uncertainties. Consequently, new methodological approaches and effective communication strategies are required for making research usable outside scientific communities. In this perspective, we reflect on this usability challenge by discussing impact data products, early warning and modeling capabilities, and communication tools, urging climate impact scientists to increasingly incorporate usability considerations in their research to meet the pressing demand for usable compound event research.
SN - 1561-8633
SN - 1684-9981
ER -