30 citations as recorded by crossref.

1. The Impact of a Lack of Government Strategies for Sustainable Water Management and Land Use Planning on the Hydrology of Water Bodies: Lessons Learned from the Disappearance of the Aculeo Lagoon in Central Chile R. Valdés-Pineda et al. https://doi.org/10.3390/su14010413
2. Analysis of nocturnal urban heat advection using crowd weather stations J. Kittner et al. https://doi.org/10.1002/qj.5065
3. Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France A. Demortier et al. https://doi.org/10.5194/nhess-25-429-2025
4. CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications D. Fenner et al. https://doi.org/10.3389/fenvs.2021.720747
5. Assimilation of surface pressure observations from personal weather stations in AROME-France A. Demortier et al. https://doi.org/10.5194/nhess-24-907-2024
6. 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
7. Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium E. Beele et al. https://doi.org/10.5194/essd-14-4681-2022
8. Bias Correction, Anonymization, and Analysis of Smartphone Pressure Observations Using Machine Learning and Multiresolution Kriging C. McNicholas & C. Mass https://doi.org/10.1175/WAF-D-20-0222.1
9. Have you ever seen the rain? Observing a record convective rainfall with national and local monitoring networks and opportunistic sensors L. Petersson Wårdh et al. https://doi.org/10.5194/amt-19-461-2026
10. Ensemble‐based statistical interpolation of atmospheric variables near the surface C. Lussana et al. https://doi.org/10.1002/qj.5046
11. A satellite lightning observation operator for storm-scale numerical weather prediction P. Combarnous et al. https://doi.org/10.5194/nhess-22-2943-2022
12. From citizens to citizens: information sharing for evidence-based response to climate change R. Roncella et al. https://doi.org/10.1080/17538947.2026.2677925
13. Personal weather stations in hydrology and meteorology: a review of applications, challenges and future directions P. Mazzoglio et al. https://doi.org/10.1080/02626667.2026.2665735
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. Performance and longevity of compact all-in-one weather stations – the good, the bad and the ugly C. Brown et al. https://doi.org/10.5194/amt-19-3001-2026
16. Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption A. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.127724
17. Observations from Personal Weather Stations—EUMETNET Interests and Experience C. Hahn et al. https://doi.org/10.3390/cli10120192
18. Urban Climate Informatics: An Emerging Research Field A. Middel et al. https://doi.org/10.3389/fenvs.2022.867434
19. Exploratory analysis of citizen observations of hourly precipitation over Scandinavia C. Lussana et al. https://doi.org/10.5194/asr-20-35-2023
20. How useful are crowdsourced air temperature observations? An assessment of Netatmo stations and quality control schemes over the United Kingdom J. Coney et al. https://doi.org/10.1002/met.2075
21. Retrieving Water Vapor From an E‐Band Microwave Link With an Empirical Model Not Requiring In Situ Calibration M. Fencl et al. https://doi.org/10.1029/2021EA001911
22. Thunderstorms and extreme rainfall in south Norfolk, 16 August 2020: meteorological analysis D. Holley et al. https://doi.org/10.1002/wea.4038
23. Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States A. Chen et al. https://doi.org/10.1016/j.jhydrol.2023.130123
24. Refining Citizen Climate Science: Addressing Preferential Sampling for Improved Estimates of Urban Heat Z. Calhoun et al. https://doi.org/10.1021/acs.estlett.4c00296
25. A numerical study to investigate the roles of former Hurricane Leslie, orography and evaporative cooling in the 2018 Aude heavy-precipitation event M. Mandement & O. Caumont https://doi.org/10.5194/wcd-2-795-2021
26. A Comparison of Mesoscale Pressure Features Observed with Smartphones and Conventional Observations C. McNicholas & C. Mass https://doi.org/10.1175/WAF-D-21-0166.1
27. Multi-parameter Doppler Weather Radar analysis of an extreme rain event in central India: Precursors of convective intensification, sectoral variability and storm structure T. Sreekanth et al. https://doi.org/10.1016/j.atmosres.2026.108952
28. The heavy precipitation event of 14–15 October 2018 in the Aude catchment: a meteorological study based on operational numerical weather prediction systems and standard and personal observations O. Caumont et al. https://doi.org/10.5194/nhess-21-1135-2021
29. Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods D. van Beekvelt et al. https://doi.org/10.1371/journal.pclm.0000216
30. Quantifying Local and Mesoscale Drivers of the Urban Heat Island of Moscow with Reference and Crowdsourced Observations M. Varentsov et al. https://doi.org/10.3389/fenvs.2021.716968