Articles | Volume 14, issue 7
https://doi.org/10.5194/hess-14-1139-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-14-1139-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
02 Jul 2010
Areal rainfall estimation using moving cars as rain gauges – a modelling study
U. Haberlandt
Institute of Water Resources Management, Hydrology and Agricultural Hydraulic Engineering, Leibniz University of Hannover, Hannover, Germany
M. Sester
Institute of Cartography and Geoinformatics, Leibniz University of Hannover, Germany
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Cited
33 citations as recorded by crossref.
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- Runoff prediction using rainfall data from microwave links: Tabor case study D. Stransky et al. 10.2166/wst.2018.149
- Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras S. Jiang et al. 10.1029/2018WR024480
- Windshield wipers on connected vehicles produce high-accuracy rainfall maps M. Bartos et al. 10.1038/s41598-018-36282-7
- Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle F. Tauro et al. 10.1080/02626667.2017.1420191
- Recording Rainfall Intensity: Has an Optimum Method Been Found? D. Dunkerley 10.3390/w15193383
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- enviroCar: A Citizen Science Platform for Analyzing and Mapping Crowd‐Sourced Car Sensor Data A. Bröring et al. 10.1111/tgis.12155
- Value of uncertain streamflow observations for hydrological modelling S. Etter et al. 10.5194/hess-22-5243-2018
- Quantifying Local and Mesoscale Drivers of the Urban Heat Island of Moscow with Reference and Crowdsourced Observations M. Varentsov et al. 10.3389/fenvs.2021.716968
- Crowdsourcing for climate and atmospheric sciences: current status and future potential C. Muller et al. 10.1002/joc.4210
- CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications D. Fenner et al. 10.3389/fenvs.2021.720747
- Rainfall estimation using moving cars as rain gauges – laboratory experiments E. Rabiei et al. 10.5194/hess-17-4701-2013
- Chaac: Real-Time and Fine-Grained Rain Detection and Measurement Using Smartphones H. Guo et al. 10.1109/JIOT.2018.2866690
- Areal rainfall estimation using moving cars – computer experiments including hydrological modeling E. Rabiei et al. 10.5194/hess-20-3907-2016
- Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework J. Chacon-Hurtado et al. 10.5194/hess-21-3071-2017
- Cars as a Diffuse Network of Road-Environment Monitoring Nodes M. Allegretti & S. Bertoldo 10.4236/wsn.2014.69018
- Particle tracers and image analysis for surface flow observations F. Tauro 10.1002/wat2.1116
- Development and Assessment of Methods for Predicting Rainfall in Unmeasured Watersheds Using the Relation Between Observed and Sensor-Measured Rainfall C. Lee & H. Kim 10.9798/KOSHAM.2021.21.6.293
- Development of a Rainfall Observation Method Using Vehicle Rainfall Sensors C. Lee et al. 10.9798/KOSHAM.2019.19.3.33
- Special Issue “Rain Sensors” F. Giannetti & L. Lanza 10.3390/s23156934
- Assimilation of weather radar and binary ubiquitous sensor measurements for quantitative precipitation estimation D. Hill 10.2166/hydro.2015.072
- Surface flows from images: ten days of observations from the Tiber River gauge-cam station F. Tauro & S. Salvatori 10.2166/nh.2016.302
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
- Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data P. Yang & T. Ng 10.1029/2018WR023857
- Forecasting fine-grained sensing coverage in opportunistic vehicular sensing W. Hu et al. 10.1016/j.compenvurbsys.2023.101939
- Learning a Precipitation Indicator from Traffic Speed Variation Patterns Y. Feng et al. 10.1016/j.trpro.2020.03.090
- Orienting the camera and firing lasers to enhance large scale particle image velocimetry for streamflow monitoring F. Tauro et al. 10.1002/2014WR015952
- Field Motion Estimation with a Geosensor Network D. Fitzner & M. Sester 10.3390/ijgi5100175
- On the Use of a 77 GHz Automotive Radar as a Microwave Rain Gauge S. Bertoldo et al. 10.48084/etasr.1755
- Estimation of precipitation fields from 1-minute rain gauge time series – comparison of spatial and spatio-temporal interpolation methods D. Fitzner & M. Sester 10.1080/13658816.2015.1040022
- Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle S. Yang et al. 10.3390/w11112361
- Estimation of raindrop size distribution and rain rate with infrared surveillance camera in dark conditions J. Lee et al. 10.5194/amt-16-707-2023
33 citations as recorded by crossref.
- Perception and sensing for autonomous vehicles under adverse weather conditions: A survey Y. Zhang et al. 10.1016/j.isprsjprs.2022.12.021
- Runoff prediction using rainfall data from microwave links: Tabor case study D. Stransky et al. 10.2166/wst.2018.149
- Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras S. Jiang et al. 10.1029/2018WR024480
- Windshield wipers on connected vehicles produce high-accuracy rainfall maps M. Bartos et al. 10.1038/s41598-018-36282-7
- Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle F. Tauro et al. 10.1080/02626667.2017.1420191
- Recording Rainfall Intensity: Has an Optimum Method Been Found? D. Dunkerley 10.3390/w15193383
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- enviroCar: A Citizen Science Platform for Analyzing and Mapping Crowd‐Sourced Car Sensor Data A. Bröring et al. 10.1111/tgis.12155
- Value of uncertain streamflow observations for hydrological modelling S. Etter et al. 10.5194/hess-22-5243-2018
- Quantifying Local and Mesoscale Drivers of the Urban Heat Island of Moscow with Reference and Crowdsourced Observations M. Varentsov et al. 10.3389/fenvs.2021.716968
- Crowdsourcing for climate and atmospheric sciences: current status and future potential C. Muller et al. 10.1002/joc.4210
- CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications D. Fenner et al. 10.3389/fenvs.2021.720747
- Rainfall estimation using moving cars as rain gauges – laboratory experiments E. Rabiei et al. 10.5194/hess-17-4701-2013
- Chaac: Real-Time and Fine-Grained Rain Detection and Measurement Using Smartphones H. Guo et al. 10.1109/JIOT.2018.2866690
- Areal rainfall estimation using moving cars – computer experiments including hydrological modeling E. Rabiei et al. 10.5194/hess-20-3907-2016
- Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework J. Chacon-Hurtado et al. 10.5194/hess-21-3071-2017
- Cars as a Diffuse Network of Road-Environment Monitoring Nodes M. Allegretti & S. Bertoldo 10.4236/wsn.2014.69018
- Particle tracers and image analysis for surface flow observations F. Tauro 10.1002/wat2.1116
- Development and Assessment of Methods for Predicting Rainfall in Unmeasured Watersheds Using the Relation Between Observed and Sensor-Measured Rainfall C. Lee & H. Kim 10.9798/KOSHAM.2021.21.6.293
- Development of a Rainfall Observation Method Using Vehicle Rainfall Sensors C. Lee et al. 10.9798/KOSHAM.2019.19.3.33
- Special Issue “Rain Sensors” F. Giannetti & L. Lanza 10.3390/s23156934
- Assimilation of weather radar and binary ubiquitous sensor measurements for quantitative precipitation estimation D. Hill 10.2166/hydro.2015.072
- Surface flows from images: ten days of observations from the Tiber River gauge-cam station F. Tauro & S. Salvatori 10.2166/nh.2016.302
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
- Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data P. Yang & T. Ng 10.1029/2018WR023857
- Forecasting fine-grained sensing coverage in opportunistic vehicular sensing W. Hu et al. 10.1016/j.compenvurbsys.2023.101939
- Learning a Precipitation Indicator from Traffic Speed Variation Patterns Y. Feng et al. 10.1016/j.trpro.2020.03.090
- Orienting the camera and firing lasers to enhance large scale particle image velocimetry for streamflow monitoring F. Tauro et al. 10.1002/2014WR015952
- Field Motion Estimation with a Geosensor Network D. Fitzner & M. Sester 10.3390/ijgi5100175
- On the Use of a 77 GHz Automotive Radar as a Microwave Rain Gauge S. Bertoldo et al. 10.48084/etasr.1755
- Estimation of precipitation fields from 1-minute rain gauge time series – comparison of spatial and spatio-temporal interpolation methods D. Fitzner & M. Sester 10.1080/13658816.2015.1040022
- Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle S. Yang et al. 10.3390/w11112361
- Estimation of raindrop size distribution and rain rate with infrared surveillance camera in dark conditions J. Lee et al. 10.5194/amt-16-707-2023
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