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A combined storyline-statistical approach for conditional extreme event attribution

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Bibliographic Details
Published in:Weather and Climate Dynamics
Format: Online Article RSS Article
Published: 2026
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container_title Weather and Climate Dynamics
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:24926
institution FRELIP
journal_source_facet Weather and Climate Dynamics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A combined storyline-statistical approach for conditional extreme event attribution
— — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
sub_discipline_display Climate & Atmospheric Sciences
sub_discipline_facet Climate & Atmospheric Sciences
subject_display — — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
— — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
subject_facet — — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
title A combined storyline-statistical approach for conditional extreme event attribution
title_auth A combined storyline-statistical approach for conditional extreme event attribution
title_full A combined storyline-statistical approach for conditional extreme event attribution
title_fullStr A combined storyline-statistical approach for conditional extreme event attribution
title_full_unstemmed A combined storyline-statistical approach for conditional extreme event attribution
title_short A combined storyline-statistical approach for conditional extreme event attribution
title_sort a combined storyline-statistical approach for conditional extreme event attribution
topic — — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
url https://doi.org/10.5194/wcd-7-597-2026