https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c/Head https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c/assertion https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c/provenance https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c/pubinfo https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAXKFErOXGx1h_S_TPy_57u1HW8p_qzjoyNoBILxJab7c/assertion http://eurovoc.europa.eu/2919 http://schema.org/description http://eurovoc.europa.eu/2919 http://schema.org/name Environmental research http://eurovoc.europa.eu/2919 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/author mailto:eg.guardia@gmail.com https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/contentUrl https://doi.org/10.1088/2752-5295/ad7527 https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/creator mailto:eg.guardia@gmail.com https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/dateCreated 2026-03-24 07:22:00.899615+00:00 https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/dateModified 2026-03-24 07:22:01.922059+00:00 https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/description Abstract As extreme event attribution (EEA) matures, explaining the impacts of extreme events has risen to be a key focus for attribution scientists. Studies of this type usually assess the contribution of anthropogenic climate change to observed impacts. Other scientific communities have developed tools to assess how human activities influence impacts of extreme weather events on ecosystems and societies. For example, the disaster risk reduction (DRR) community analyses how the structure of human societies affects exposure, vulnerability, and ultimately the impacts of extreme weather events, with less attention to the role of anthropogenic climate change. In this perspective, we argue that adapting current practice in EEA to also consider other causal factors in attribution of extreme weather impacts would provide richer and more comprehensive insight into the causes of disasters. To this end, we propose a framework for EEA that would generate a more complete picture of human influences on impacts and bridge the gap between the EEA and DRR communities. We provide illustrations for five case studies: the 2021–2022 Kenyan drought; the 2013–2015 marine heatwave in the northeast Pacific; the 2017 forest fires in Portugal; Acqua Alta (flooding) events in Venice and evaluation of the efficiency of the Experimental Electromechanical Module, an ensemble of mobile barriers that can be activated to mitigate the influx of seawater in the city; and California droughts and the Forecast Informed Reservoir Operations system as an adaptation strategy. https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/license https://choosealicense.com/no-permission/ https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/name Broadening the scope of anthropogenic influence in extreme event attribution https://doi.org/10.1088/2752-5295/ad7527 http://schema.org/sdDatePublished 2026-03-24 07:22:00.899615+00:00 https://doi.org/10.1088/2752-5295/ad7527 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://doi.org/10.1088/2752-5295/ad7527 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://doi.org/10.1088/2752-5295/ad7527 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/Publication https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/about http://eurovoc.europa.eu/2919 https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/author mailto:eg.guardia@gmail.com https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/contentSize 0 https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/contentUrl https://api.rohub.org/api/ros/611168c5-cd96-4ff1-a973-46be7b669d56/crate/download/ https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/creator mailto:eg.guardia@gmail.com https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/dateCreated 2026-03-24 07:21:59.320509+00:00 https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/dateModified 2026-03-25 13:49:49.477493+00:00 https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/datePublished 2026-03-24 07:21:59.320509+00:00 https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/description Abstract As extreme event attribution (EEA) matures, explaining the impacts of extreme events has risen to be a key focus for attribution scientists. Studies of this type usually assess the contribution of anthropogenic climate change to observed impacts. Other scientific communities have developed tools to assess how human activities influence impacts of extreme weather events on ecosystems and societies. For example, the disaster risk reduction (DRR) community analyses how the structure of human societies affects exposure, vulnerability, and ultimately the impacts of extreme weather events, with less attention to the role of anthropogenic climate change. In this perspective, we argue that adapting current practice in EEA to also consider other causal factors in attribution of extreme weather impacts would provide richer and more comprehensive insight into the causes of disasters. To this end, we propose a framework for EEA that would generate a more complete picture of human influences on impacts and bridge the gap between the EEA and DRR communities. We provide illustrations for five case studies: the 2021–2022 Kenyan drought; the 2013–2015 marine heatwave in the northeast Pacific; the 2017 forest fires in Portugal; Acqua Alta (flooding) events in Venice and evaluation of the efficiency of the Experimental Electromechanical Module, an ensemble of mobile barriers that can be activated to mitigate the influx of seawater in the city; and California droughts and the Forecast Informed Reservoir Operations system as an adaptation strategy. https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/hasPart https://doi.org/10.1088/2752-5295/ad7527 https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/identifier https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56 https://w3id.org/ro-id/611168c5-cd96-4ff1-a973-46be7b669d56/ http://schema.org/license 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"Broadening the scope of anthropogenic influence in extreme event attribution." ROHub. 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