Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-1783-2026
https://doi.org/10.5194/essd-18-1783-2026
Data description article
 | 
10 Mar 2026
Data description article |  | 10 Mar 2026

Reconstructing nineteenth-century Danube river water levels with transformer-based computer vision

Malte Rehbein

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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-2025-633', Anonymous Referee #1, 09 Jan 2026
    • AC1: 'Reply on RC1', Malte Rehbein, 17 Jan 2026
  • RC2: 'Comment on essd-2025-633', Anonymous Referee #2, 29 Jan 2026
    • AC2: 'Reply on RC2', Malte Rehbein, 30 Jan 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Malte Rehbein on behalf of the Authors (06 Feb 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (11 Feb 2026) by James Thornton
AR by Malte Rehbein on behalf of the Authors (13 Feb 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (23 Feb 2026) by James Thornton
AR by Malte Rehbein on behalf of the Authors (27 Feb 2026)  Manuscript 
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Short summary
We transformed nineteenth-century hand-drawn Bavarian Danube gauge charts into daily water-level records using a largely automated, human-checked image analysis workflow. Tests at several gauges show the method reproduces levels with high accuracy while significantly cutting manual effort. The resulting open scientific datasets and traceable sources enable researchers and planners to study past floods and droughts, improve long records, and inform river management and climate impact assessments.
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