Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3907-2016
© Author(s) 2016. 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-20-3907-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Sep 2016
Research article |
| 26 Sep 2016
Areal rainfall estimation using moving cars – computer experiments including hydrological modeling
Ehsan Rabiei
CORRESPONDING AUTHOR
Institute of Water Resources Management, Hydrology and Agricultural Hydraulic Engineering, Leibniz University of Hanover, 30167 Hanover, Germany
Uwe Haberlandt
Institute of Cartography and Geoinformatics, Leibniz University of Hanover, Hanover, Germany
Monika Sester
Institute of Cartography and Geoinformatics, Leibniz University of Hanover, Hanover, Germany
Daniel Fitzner
Institute of Cartography and Geoinformatics, Leibniz University of Hanover, Hanover, Germany
Markus Wallner
Federal Institute for Geosciences and Natural Resources, Groundwater Resources – Quality and Dynamics, 30655 Hanover, Germany
Viewed
Total article views: 2,895 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Feb 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,481 | 1,153 | 261 | 2,895 | 91 | 82 |
- HTML: 1,481
- PDF: 1,153
- XML: 261
- Total: 2,895
- BibTeX: 91
- EndNote: 82
Total article views: 2,243 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Sep 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,180 | 828 | 235 | 2,243 | 63 | 52 |
- HTML: 1,180
- PDF: 828
- XML: 235
- Total: 2,243
- BibTeX: 63
- EndNote: 52
Total article views: 652 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Feb 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 301 | 325 | 26 | 652 | 28 | 30 |
- HTML: 301
- PDF: 325
- XML: 26
- Total: 652
- BibTeX: 28
- EndNote: 30
Cited
18 citations as recorded by crossref.
- 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
- Quantifying the Uncertainty Interaction Between the Model Input and Structure on Hydrological Processes S. Zhou et al. 10.1007/s11269-021-02883-7
- A review of video‐based rainfall measurement methods K. Yan et al. 10.1002/wat2.1678
- Near-infrared surveillance video-based rain gauge X. Wang et al. 10.1016/j.jhydrol.2023.129173
- The future of Earth observation in hydrology M. McCabe et al. 10.5194/hess-21-3879-2017
- 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
- Automatic Quality Control of Crowdsourced Rainfall Data With Multiple Noises: A Machine Learning Approach G. Niu et al. 10.1029/2020WR029121
- Surveillance audio-based rainfall observation: An enhanced strategy for extreme rainfall observation X. Wang et al. 10.1016/j.apacoust.2023.109581
- Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras S. Jiang et al. 10.1029/2018WR024480
- Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle S. Yang et al. 10.3390/w11112361
- Citizen science for hydrological risk reduction and resilience building J. Paul et al. 10.1002/wat2.1262
- Runoff prediction using rainfall data from microwave links: Tabor case study D. Stransky et al. 10.2166/wst.2018.149
- 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
- Scientific, technical and institutional challenges towards next-generation operational flood risk management decision support systems D. Schwanenberg et al. 10.1080/15715124.2017.1411924
- A novel quality control model of rainfall estimation with videos – A survey based on multi-surveillance cameras X. Wang et al. 10.1016/j.jhydrol.2021.127312
- Estimating Rainfall from Surveillance Audio Based on Parallel Network with Multi-Scale Fusion and Attention Mechanism M. Chen et al. 10.3390/rs14225750
- Rainfall observation using surveillance audio X. Wang et al. 10.1016/j.apacoust.2021.108478
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
17 citations as recorded by crossref.
- 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
- Quantifying the Uncertainty Interaction Between the Model Input and Structure on Hydrological Processes S. Zhou et al. 10.1007/s11269-021-02883-7
- A review of video‐based rainfall measurement methods K. Yan et al. 10.1002/wat2.1678
- Near-infrared surveillance video-based rain gauge X. Wang et al. 10.1016/j.jhydrol.2023.129173
- The future of Earth observation in hydrology M. McCabe et al. 10.5194/hess-21-3879-2017
- 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
- Automatic Quality Control of Crowdsourced Rainfall Data With Multiple Noises: A Machine Learning Approach G. Niu et al. 10.1029/2020WR029121
- Surveillance audio-based rainfall observation: An enhanced strategy for extreme rainfall observation X. Wang et al. 10.1016/j.apacoust.2023.109581
- Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras S. Jiang et al. 10.1029/2018WR024480
- Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle S. Yang et al. 10.3390/w11112361
- Citizen science for hydrological risk reduction and resilience building J. Paul et al. 10.1002/wat2.1262
- Runoff prediction using rainfall data from microwave links: Tabor case study D. Stransky et al. 10.2166/wst.2018.149
- 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
- Scientific, technical and institutional challenges towards next-generation operational flood risk management decision support systems D. Schwanenberg et al. 10.1080/15715124.2017.1411924
- A novel quality control model of rainfall estimation with videos – A survey based on multi-surveillance cameras X. Wang et al. 10.1016/j.jhydrol.2021.127312
- Estimating Rainfall from Surveillance Audio Based on Parallel Network with Multi-Scale Fusion and Attention Mechanism M. Chen et al. 10.3390/rs14225750
- Rainfall observation using surveillance audio X. Wang et al. 10.1016/j.apacoust.2021.108478
1 citations as recorded by crossref.
Latest update: 22 Apr 2024
Short summary
The value of using moving cars for rainfall measurement purposes (RCs) was investigated with laboratory experiments by Rabiei et al. (2013). They analyzed the Hydreon and Xanonex optical sensors against different rainfall intensities. A continuous investigation of using RCs with the derived uncertainties from laboratory experiments for areal rainfall estimation as well as implementing the data in a hydrological model are addressed in this study.
The value of using moving cars for rainfall measurement purposes (RCs) was investigated with...
