Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Feb 2024
Research article |
| 14 Feb 2024
| 14 Feb 2024
Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Hidde Leijnse
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Gerard van der Schrier
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Else van den Besselaar
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Irene Garcia-Marti
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Lotte Wilhelmina de Vos
Observation Operations, Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
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Cited
19 citations as recorded by crossref.
- Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al. https://doi.org/10.1080/02626667.2025.2490780
- 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
- The evolution of citizen weather stations in urban climate research: A bibliometric analysis R. Agrawal et al. https://doi.org/10.1016/j.uclim.2026.102808
- Intense Rainfall in Urban Areas: Characterization of High-Intensity Storms in the Metropolitan Area of Barcelona (2014–2022) L. Esbrí et al. https://doi.org/10.3390/atmos17010041
- Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data F. Matthews et al. https://doi.org/10.5194/hess-29-5299-2025
- Torrential rainfall in Valencia, Spain, recorded by personal weather stations preceding and during the 29 October 2024 floods N. Rombeek et al. https://doi.org/10.5194/hess-29-6715-2025
- The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al. https://doi.org/10.5194/essd-17-4715-2025
- Can we reliably estimate precipitation with high resolution during disastrously large floods? J. Szturc et al. https://doi.org/10.5194/hess-29-5405-2025
- Radar–Rain Gauge Merging for High-Spatiotemporal-Resolution Rainfall Estimation Using Radial Basis Function Interpolation S. Ryu et al. https://doi.org/10.3390/rs17030530
- Evaluating precipitation products for water resources hydrologic modeling over Germany S. Hammoudeh et al. https://doi.org/10.3389/feart.2025.1548557
- Scenario Generation for Built Environment Decision Support under Uncertainty: Case Studies of Airflow Modeling and Climate-Resilient Infrastructure System Design L. Luo et al. https://doi.org/10.1061/JCCEE5.CPENG-6253
- Urban fluxes for free: Estimating urban turbulent surface fluxes from crowdsourced meteorological canyon layer observations W. van der Meer et al. https://doi.org/10.1016/j.cacint.2025.100201
- Ensemble‐based statistical interpolation of atmospheric variables near the surface C. Lussana et al. https://doi.org/10.1002/qj.5046
- 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
- Evaluating Geostatistical and Statistical Merging Methods for Radar–Gauge Rainfall Integration: A Multi-Method Comparative Study X. Le et al. https://doi.org/10.3390/rs17152622
- Technical note: A guide to using three open-source quality control algorithms for rainfall data from personal weather stations A. El Hachem et al. https://doi.org/10.5194/hess-28-4715-2024
- Evaluation of high-intensity rainfall observations from personal weather stations in the Netherlands N. Rombeek et al. https://doi.org/10.5194/hess-29-4585-2025
- Can stormwater runoff measurements be used for weather radar rainfall adjustment? J. Nielsen et al. https://doi.org/10.2166/hydro.2024.172
- 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
19 citations as recorded by crossref.
- Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al. https://doi.org/10.1080/02626667.2025.2490780
- 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
- The evolution of citizen weather stations in urban climate research: A bibliometric analysis R. Agrawal et al. https://doi.org/10.1016/j.uclim.2026.102808
- Intense Rainfall in Urban Areas: Characterization of High-Intensity Storms in the Metropolitan Area of Barcelona (2014–2022) L. Esbrí et al. https://doi.org/10.3390/atmos17010041
- Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data F. Matthews et al. https://doi.org/10.5194/hess-29-5299-2025
- Torrential rainfall in Valencia, Spain, recorded by personal weather stations preceding and during the 29 October 2024 floods N. Rombeek et al. https://doi.org/10.5194/hess-29-6715-2025
- The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al. https://doi.org/10.5194/essd-17-4715-2025
- Can we reliably estimate precipitation with high resolution during disastrously large floods? J. Szturc et al. https://doi.org/10.5194/hess-29-5405-2025
- Radar–Rain Gauge Merging for High-Spatiotemporal-Resolution Rainfall Estimation Using Radial Basis Function Interpolation S. Ryu et al. https://doi.org/10.3390/rs17030530
- Evaluating precipitation products for water resources hydrologic modeling over Germany S. Hammoudeh et al. https://doi.org/10.3389/feart.2025.1548557
- Scenario Generation for Built Environment Decision Support under Uncertainty: Case Studies of Airflow Modeling and Climate-Resilient Infrastructure System Design L. Luo et al. https://doi.org/10.1061/JCCEE5.CPENG-6253
- Urban fluxes for free: Estimating urban turbulent surface fluxes from crowdsourced meteorological canyon layer observations W. van der Meer et al. https://doi.org/10.1016/j.cacint.2025.100201
- Ensemble‐based statistical interpolation of atmospheric variables near the surface C. Lussana et al. https://doi.org/10.1002/qj.5046
- 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
- Evaluating Geostatistical and Statistical Merging Methods for Radar–Gauge Rainfall Integration: A Multi-Method Comparative Study X. Le et al. https://doi.org/10.3390/rs17152622
- Technical note: A guide to using three open-source quality control algorithms for rainfall data from personal weather stations A. El Hachem et al. https://doi.org/10.5194/hess-28-4715-2024
- Evaluation of high-intensity rainfall observations from personal weather stations in the Netherlands N. Rombeek et al. https://doi.org/10.5194/hess-29-4585-2025
- Can stormwater runoff measurements be used for weather radar rainfall adjustment? J. Nielsen et al. https://doi.org/10.2166/hydro.2024.172
- 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
Saved (final revised paper)
Latest update: 30 Jul 2026
Short summary
Ground-based radar precipitation products typically need adjustment with rain gauge accumulations to achieve a reasonable accuracy. Crowdsourced rain gauge networks have a much higher density than conventional ones. Here, a 1-year personal weather station (PWS) gauge dataset is obtained. After quality control, the 1 h PWS gauge accumulations are merged with pan-European radar accumulations. The potential of crowdsourcing to improve radar precipitation products in (near) real time is confirmed.
Ground-based radar precipitation products typically need adjustment with rain gauge...
