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January 23, 2026Atmospheric measurement techniques0 citationsOpen Access

Have you ever seen the rain? Observing a record convective rainfall with national and local monitoring networks and opportunistic sensors

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LWLouise Petersson WårdhHHHasan HosseiniRBRemco van de Beek

Key Points

  • The aim is to evaluate the effectiveness of second- and third-party sensors in observing localized convective rainfall events.
  • Analyzed data from professional weather stations, C-band radar, and X-band radar.
  • Compared observations from Commercial Microwave Links and Personal Weather Stations.
  • Focused on a convective storm that affected southwestern Sweden in August 2022.
  • Second-party networks provided high accuracy in quantifying rainfall magnitude and spatial variability.
  • Third-party networks helped understand storm duration and spatial distribution but underestimated rainfall magnitude.
  • Collectively, the networks offered valuable data for national weather services.

Abstract

Abstract. Short-duration extreme rainfall can cause severe impacts in built environments and flood mitigation measures require high-resolution rainfall data to be effective. It is a particular challenge to observe convective storms, which are expected to intensify with climate change. However, rainfall monitoring networks operated by national meteorological and hydrological services generally have limited ability to observe rainfall at sub-hourly and sub-kilometer scales. This paper investigates the capability of second- and third-party rainfall sensors to observe a highly localized convective storm that hit southwestern Sweden in August 2022. Specifically, we compared the observations from professional weather stations, C-band radar, X-band radar, Commercial Microwave Links and Personal Weather Stations to get a full impression of the sensors' strengths and weaknesses in the context of convective storms. The results suggest that second- and third-party networks can contribute important information on short-duration extreme rainfall to national weather services. The second-party network assisted in quantifying the magnitude and spatial variability of the event with high accuracy. The third-party network could contribute to the understanding of the duration and spatial distribution of the storm, but it underestimated the magnitude compared with the reference sensors.

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Cite This Study

Wårdh et al. (2026) studied this question.

synapsesocial.com/papers/69731047c8125b09b0d1ff92https://doi.org/10.5194/amt-19-461-2026
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