6 citations as recorded by crossref.

1. Exploring the potential role of citizen science in the warning value chain for high impact weather M. Tan et al. https://doi.org/10.3389/fcomm.2022.949949
2. Crowdsourcing of weather observations at national meteorological and hydrological services in Europe T. Krennert et al. https://doi.org/10.5194/asr-15-71-2018
3. 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
4. Training citizen scientists through an online game developed for data quality control B. Strobl et al. https://doi.org/10.5194/gc-3-109-2020
5. ‘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
6. 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