Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1055-2025
https://doi.org/10.5194/essd-17-1055-2025
Data description paper
 | 
13 Mar 2025
Data description paper |  | 13 Mar 2025

RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna meteorological event

Matteo Berti, Marco Pizziolo, Michele Scaroni, Mauro Generali, Vincenzo Critelli, Marco Mulas, Melissa Tondo, Francesco Lelli, Cecilia Fabbiani, Francesco Ronchetti, Giuseppe Ciccarese, Nicola Dal Seno, Elena Ioriatti, Rodolfo Rani, Alessandro Zuccarini, Tommaso Simonelli, and Alessandro Corsini

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-407', Olimpiu Pop, 06 Nov 2024
  • RC2: 'Comment on essd-2024-407', Anonymous Referee #2, 07 Nov 2024
  • RC3: 'Comment on essd-2024-407', Anonymous Referee #3, 07 Nov 2024
  • AC1: 'Reply to Reviewers RC1-RC2-RC3', Matteo Berti, 04 Dec 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Matteo Berti on behalf of the Authors (05 Dec 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (10 Dec 2024) by Giulio G.R. Iovine
AR by Matteo Berti on behalf of the Authors (12 Dec 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (29 Dec 2024) by Giulio G.R. Iovine
AR by Matteo Berti on behalf of the Authors (07 Jan 2025)  Manuscript 
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Short summary
In May 2023, Emilia-Romagna, Italy, experienced heavy rainfall that led to severe flooding and initiated thousands of landslides on slopes thought to be stable. Collaborating with the Civil Protection Agency, our team created a detailed map documenting 80,997 affected areas. This comprehensive dataset is crucial for research on climate change and assists in planning and risk management by demonstrating how climate change can alter our understanding of landslide susceptibility.
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