A rapid warning value chain assessment for localised surface water flooding in the UK on 17th August 2022

This case study event, part of the WMO WWRP HIWeather Value Chain project, utilizes the warning value chain rapid assessment template (https://doi.org/10.5281/zenodo.10457434) to evaluate the performance of early warning systems during a localised surface water flooding event in the UK on 17th August 2022. By applying this rapid assessment tool, the Met Office were able to save key information and conduct a basic end-to-end assessment of the warning process during a localised convective rainfall event, from initial forecast to responder community actions. The analysis highlights key strengths and areas for improvement, particularly in the generation, use, and communication of the hazard and impact-based forecasts.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-18
DOI
https://doi.org/10.5281/zenodo.12770100
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
0.00
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article

A rapid warning value chain assessment for localised surface water flooding in the UK on 17th August 2022

Zenodo (CERN European Organization for Nuclear Research)
Protein purification and stability
article

A rapid warning value chain assessment for localised surface water flooding in the UK on 17th August 2022

article en

Abstract

This case study event, part of the WMO WWRP HIWeather Value Chain project, utilizes the warning value chain rapid assessment template (https://doi.org/10.5281/zenodo.10457434) to evaluate the performance of early warning systems during a localised surface water flooding event in the UK on 17th August 2022. By applying this rapid assessment tool, the Met Office were able to save key information and conduct a basic end-to-end assessment of the warning process during a localised convective rainfall event, from initial forecast to responder community actions. The analysis highlights key strengths and areas for improvement, particularly in the generation, use, and communication of the hazard and impact-based forecasts.

Zenodo (CERN European Organization for Nuclear Research)
Met Office (GB)
Clean water and sanitation
Openalex Percentile: Top 58%
Protein purification and stability
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