18 citations as recorded by crossref.

1. From proof‐of‐concept to proof‐of‐value: Approaching third‐party data to operational workflows of national meteorological services I. Garcia‐Marti et al. https://doi.org/10.1002/joc.7757
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3. Assessing the potential and application of crowdsourced urban wind data A. Droste et al. https://doi.org/10.1002/qj.3811
4. Estimation of Wind Speed and Roughness Length Using Smartphones: Method and Quality Assessment K. Hintz et al. https://doi.org/10.1175/JTECH-D-19-0037.1
5. Identifying the Impact-Related Data Uses and Gaps for Hydrometeorological Impact Forecasts and Warnings S. Harrison et al. https://doi.org/10.1175/WCAS-D-21-0093.1
6. Adaptation of RainGaugeQC algorithms for quality control of rain gauge data from professional and non-professional measurement networks K. Ośródka et al. https://doi.org/10.5194/amt-18-3229-2025
7. Supercell convective environments in Spain based on ERA5: hail and non-hail differences C. Calvo-Sancho et al. https://doi.org/10.5194/wcd-3-1021-2022
8. Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace Y. Zhu et al. https://doi.org/10.1002/gdj3.85
9. Using serious games to evaluate the potential of social media information in early warning disaster management P. Weyrich et al. https://doi.org/10.1016/j.ijdrr.2021.102053
10. Free weather forecast and open-source crop modeling for scientific irrigation scheduling: proof of concept A. Ajaz et al. https://doi.org/10.1007/s00271-023-00881-8
11. Do intentions indicate actual behaviour? A comparison between scenario‐based experiments and real‐time observations of warning response P. Weyrich et al. https://doi.org/10.1111/1468-5973.12318
12. Trusted Spotter Network Austria – a new standard to utilize crowdsourced weather and impact observations T. Krennert et al. https://doi.org/10.5194/asr-15-77-2018
13. Correcting citizen‐science air temperature measurements across the Netherlands for short wave radiation bias R. Cornes et al. https://doi.org/10.1002/met.1814
14. The Potential of a Smartphone as an Urban Weather Station—An Exploratory Analysis A. Cabrera et al. https://doi.org/10.3389/fenvs.2021.673937
15. Giant hail in Poland produced by a supercell merger in extreme instability – A sign of a warming climate? K. Piasecki et al. https://doi.org/10.1016/j.atmosres.2023.106843
16. ‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand S. Harrison et al. https://doi.org/10.1016/j.ijdrr.2021.102619
17. Local hazard consultants in Switzerland – an innovative social learning element in a community of practice E. Maidl & M. Buchecker https://doi.org/10.1016/j.ijdrr.2021.102542
18. Research gaps and challenges for impact-based forecasts and warnings: Results of international workshops for High Impact Weather in 2022 S. Potter et al. https://doi.org/10.1016/j.ijdrr.2025.105234