Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-765-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-765-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Feb 2017
Research article |
| 07 Feb 2017
The potential of urban rainfall monitoring with crowdsourced automatic weather stations in Amsterdam
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, 6708 PB Wageningen, the Netherlands
Research and Development Observations and Data Technology, Royal Netherlands Meteorological Institute, 3732 GK De Bilt, the Netherlands
Hidde Leijnse
Research and Development Observations and Data Technology, Royal Netherlands Meteorological Institute, 3732 GK De Bilt, the Netherlands
Aart Overeem
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, 6708 PB Wageningen, the Netherlands
Research and Development Observations and Data Technology, Royal Netherlands Meteorological Institute, 3732 GK De Bilt, the Netherlands
Remko Uijlenhoet
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, 6708 PB Wageningen, the Netherlands
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- A multi-scale ensemble-based framework for forecasting compound coastal-riverine flooding: The Hackensack-Passaic watershed and Newark Bay F. Saleh et al. 10.1016/j.advwatres.2017.10.026
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
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- Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero 10.5194/hess-22-171-2018
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- Private sensors and crowdsourced rainfall data: Accuracy and potential for modelling pluvial flooding in urban areas of Oslo, Norway K. Khaing Kyaw et al. 10.1016/j.hydroa.2024.100191
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- Worldwide evaluation and correction of irradiance measurements from personal weather stations under all-sky conditions J. López Lorente et al. 10.1016/j.solener.2020.06.073
- Hydrometeorological Monitoring Using Opportunistic Sensing Networks in the Amsterdam Metropolitan Area L. de Vos et al. 10.1175/BAMS-D-19-0091.1
- Evaluation of factors affecting the quality of citizen science rainfall data in Akaki catchment, Addis Ababa, Ethiopia H. Tedla et al. 10.1016/j.jhydrol.2022.128284
- Urban Climate Informatics: An Emerging Research Field A. Middel et al. 10.3389/fenvs.2022.867434
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- Estimating water balance components and their uncertainty bounds in highly groundwater-dependent and data-scarce area: An example for the Upper Citarum basin S. Rusli et al. 10.1016/j.ejrh.2021.100911
- Observations from Personal Weather Stations—EUMETNET Interests and Experience C. Hahn et al. 10.3390/cli10120192
- High‐Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small‐Scale Urban Rainfall L. de Vos et al. 10.1029/2018WR023393
- Contribution of personal weather stations to the observation of deep-convection features near the ground M. Mandement & O. Caumont 10.5194/nhess-20-299-2020
- Assessing rainfall radar errors with an inverse stochastic modelling framework A. Green et al. 10.5194/hess-28-4539-2024
- Exploratory analysis of citizen observations of hourly precipitation over Scandinavia C. Lussana et al. 10.5194/asr-20-35-2023
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. 10.1002/wat2.1289
- Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
- Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data P. Yang & T. Ng 10.1029/2018WR023857
- 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. 10.1016/j.jhydrol.2023.130123
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. 10.3390/rs13030351
- Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) M. Mazzoleni et al. 10.5194/hess-22-391-2018
- Assessing the potential and application of crowdsourced urban wind data A. Droste et al. 10.1002/qj.3811
- A framework for space–time modelling of rainfall events for hydrological applications of weather radar A. Green et al. 10.1016/j.jhydrol.2024.130630
- Towards the development of a citizens’ science-based acoustic rainfall sensing system M. Alkhatib et al. 10.1016/j.jhydrol.2024.130973
Latest update: 20 Nov 2024
Short summary
Recent developments have made it possible to easily crowdsource meteorological measurements from automatic personal weather stations worldwide. This has offered free access to rainfall ground measurements at spatial and temporal resolutions far exceeding those of national operational sensor networks, especially in cities. This paper is the first step to make optimal use of this promising source of rainfall measurements and identify challenges for future implementation for urban applications.
Recent developments have made it possible to easily crowdsource meteorological measurements from...
Special issue