Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3837-2016
© 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/amt-9-3837-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Close-range radar rainfall estimation and error analysis
C. Z. van de Beek
CORRESPONDING AUTHOR
MeteoGroup, Wageningen, the Netherlands
Hydrology and Quantitative Water Management Group, Wageningen University, the Netherlands
H. Leijnse
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
P. Hazenberg
Atmospheric Sciences Department, University of Arizona, Tucson, AZ, USA
R. Uijlenhoet
Hydrology and Quantitative Water Management Group, Wageningen University, the Netherlands
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Cited
14 citations as recorded by crossref.
- A Review of Rainfall Estimation in Indonesia: Data Sources, Techniques, and Methods M. Putra et al. 10.3390/signals5030030
- Calibration of Spatial Rain Scanner using Rainfall Depth of Rain Gauges T. Sinatra et al. 10.1088/1755-1315/893/1/012064
- Real-time bias correction of rainfall nowcasts using biward tracking method W. Na & C. Yoo 10.1016/j.jhydrol.2023.129642
- Evaluation of a new X-band weather radar for operational use in south Sweden S. Hosseini et al. 10.2166/wst.2020.066
- The 3D Neural Network for Improving Radar-Rainfall Estimation in Monsoon Climate N. Roslan et al. 10.3390/atmos12050634
- OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden J. Andersson et al. 10.5194/essd-14-5411-2022
- Radar–rain-gauge rainfall estimation for hydrological applications in small catchments S. Gabriele et al. 10.5194/adgeo-44-61-2017
- How Accurately Can Warm Rain Realistically Be Retrieved with Satellite Sensors? Part I: DSD Uncertainties R. Schulte et al. 10.1175/JAMC-D-21-0158.1
- Rain characterization based on maritime and continental origin at a tropical location S. Das & C. Chatterjee 10.1016/j.jastp.2018.02.011
- Visualization of radar-observed rainfall for hydrological risk assessment J. Olsson et al. 10.5194/asr-18-59-2021
- Analysis of Rain Types and Their Z–R Relationships at Different Locations in the High Andes of Southern Ecuador J. Orellana-Alvear et al. 10.1175/JAMC-D-17-0009.1
- Evaluation of Satellite Precipitation Estimates over Australia Z. Chua et al. 10.3390/rs12040678
- Spatial and Temporal Evaluation of Radar Rainfall Nowcasting Techniques on 1,533 Events R. Imhoff et al. 10.1029/2019WR026723
- Merging dual-polarization X-band radar network intelligence for improved microscale observation of summer rainfall in south Sweden S. Hosseini et al. 10.1016/j.jhydrol.2023.129090
14 citations as recorded by crossref.
- A Review of Rainfall Estimation in Indonesia: Data Sources, Techniques, and Methods M. Putra et al. 10.3390/signals5030030
- Calibration of Spatial Rain Scanner using Rainfall Depth of Rain Gauges T. Sinatra et al. 10.1088/1755-1315/893/1/012064
- Real-time bias correction of rainfall nowcasts using biward tracking method W. Na & C. Yoo 10.1016/j.jhydrol.2023.129642
- Evaluation of a new X-band weather radar for operational use in south Sweden S. Hosseini et al. 10.2166/wst.2020.066
- The 3D Neural Network for Improving Radar-Rainfall Estimation in Monsoon Climate N. Roslan et al. 10.3390/atmos12050634
- OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden J. Andersson et al. 10.5194/essd-14-5411-2022
- Radar–rain-gauge rainfall estimation for hydrological applications in small catchments S. Gabriele et al. 10.5194/adgeo-44-61-2017
- How Accurately Can Warm Rain Realistically Be Retrieved with Satellite Sensors? Part I: DSD Uncertainties R. Schulte et al. 10.1175/JAMC-D-21-0158.1
- Rain characterization based on maritime and continental origin at a tropical location S. Das & C. Chatterjee 10.1016/j.jastp.2018.02.011
- Visualization of radar-observed rainfall for hydrological risk assessment J. Olsson et al. 10.5194/asr-18-59-2021
- Analysis of Rain Types and Their Z–R Relationships at Different Locations in the High Andes of Southern Ecuador J. Orellana-Alvear et al. 10.1175/JAMC-D-17-0009.1
- Evaluation of Satellite Precipitation Estimates over Australia Z. Chua et al. 10.3390/rs12040678
- Spatial and Temporal Evaluation of Radar Rainfall Nowcasting Techniques on 1,533 Events R. Imhoff et al. 10.1029/2019WR026723
- Merging dual-polarization X-band radar network intelligence for improved microscale observation of summer rainfall in south Sweden S. Hosseini et al. 10.1016/j.jhydrol.2023.129090
Latest update: 14 Dec 2024
Short summary
Quantitative precipitation estimation using weather radar is affected by many sources of error. This study is an attempt to separate and quantify sources of error very close to the radar. A 3-day event is analyzed using radar, rain gauge and disdrometer data. Without correction, the radar severely underestimates the total rain amount by more than 50 %. After correction for the errors, a good match with rain gauge measurements is found, with 5 to 8 % difference.
Quantitative precipitation estimation using weather radar is affected by many sources of error....