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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- Cloudburst-disaster modelling. A new open-source catastrophe model D. Knös et al. 10.1016/j.ijdrr.2021.102679
- Smartphone Pressure Collection and Bias Correction Using Machine Learning C. McNicholas & C. Mass 10.1175/JTECH-D-17-0096.1
- Collection of refined architectural parameters by crowdsourcing using Facebook social network: Case of Greater Tunis Z. Mhedhbi et al. 10.1016/j.uclim.2019.100499
- Crowd-Based Observations of Riverine Macroplastic Pollution T. van Emmerik et al. 10.3389/feart.2020.00298
- Reconstructing and Nowcasting the Rainfall Field by a CML Network P. Zhang et al. 10.1029/2023EA002909
- Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website T. O'Hara et al. 10.2166/nh.2023.136
- Citizen observations contributing to flood modelling: opportunities and challenges T. Assumpção et al. 10.5194/hess-22-1473-2018
- Quality control and bias adjustment of crowdsourced wind speed observations J. Chen et al. 10.1002/qj.4146
- CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications D. Fenner et al. 10.3389/fenvs.2021.720747
- Advances in Urban Stormwater Management in Japan: A Review Y. Shibuo & H. Furumai 10.20965/jdr.2021.p0310
- Citizen science in China’s water resources monitoring: current status and future prospects Y. Wu et al. 10.1080/13504509.2021.2013973
- Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation Y. Ma et al. 10.5194/hess-23-4153-2019
- Assessing the Trustworthiness of Crowdsourced Rainfall Networks: A Reputation System Approach A. Chen et al. 10.1029/2021WR029721
- 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
- Merging weather radar data and opportunistic rainfall sensor data to enhance rainfall estimates J. Nielsen et al. 10.1016/j.atmosres.2024.107228
- 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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- Correcting citizen‐science air temperature measurements across the Netherlands for short wave radiation bias R. Cornes et al. 10.1002/met.1814
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Can crowdsourcing increase the durability of an urban meteorological network? L. Chapman et al. 10.1016/j.uclim.2023.101542
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- Quality Control for Crowdsourced Personal Weather Stations to Enable Operational Rainfall Monitoring L. de Vos et al. 10.1029/2019GL083731
- Assimilation of crowd‐sourced surface observations over Germany in a regional weather prediction system C. Sgoff et al. 10.1002/qj.4276
- How useful are crowdsourced air temperature observations? An assessment of Netatmo stations and quality control schemes over the United Kingdom J. Coney et al. 10.1002/met.2075
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- Evaluation of Selected Amateur Rain Gauges with Hellmann Rain Gauge Measurements R. Droździoł & D. Absalon 10.3390/cli11050107
- The importance of crowdsourced observations for urban climate services T. Mitchell & M. Fry 10.1002/joc.8390
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- Transformational IoT sensing for air pollution and thermal exposures J. Pantelic et al. 10.3389/fbuil.2022.971523
- The future of Earth observation in hydrology M. McCabe et al. 10.5194/hess-21-3879-2017
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- Scaling, similarity, and the fourth paradigm for hydrology C. Peters-Lidard et al. 10.5194/hess-21-3701-2017
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- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- From proof‐of‐concept to proof‐of‐value: Approaching third‐party data to operational workflows of national meteorological services I. Garcia‐Marti et al. 10.1002/joc.7757
- Development and Application of a Statistically-Based Quality Control for Crowdsourced Air Temperature Data A. Napoly et al. 10.3389/feart.2018.00118
- 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
- Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption A. Chen et al. 10.1016/j.jhydrol.2022.127724
- 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
- 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: 15 Apr 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