Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-3157-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3157-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jun 2020
Research article |
| 19 Jun 2020
| 19 Jun 2020
The accuracy of weather radar in heavy rain: a comparative study for Denmark, the Netherlands, Finland and Sweden
Marc Schleiss
CORRESPONDING AUTHOR
Dept. of Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Jonas Olsson
Hydrology Research Unit, Swedish Meteorological and Hydrological Institute SMHI, Norrkoping, Sweden
Peter Berg
Hydrology Research Unit, Swedish Meteorological and Hydrological Institute SMHI, Norrkoping, Sweden
Tero Niemi
Dept. of Built Environment, Aalto University, Espoo, Finland
Finnish Meteorological Institute FMI, Helsinki, Finland
Teemu Kokkonen
Dept. of Built Environment, Aalto University, Espoo, Finland
Søren Thorndahl
Dept. of Civil Engineering, Aalborg University, Aalborg, Denmark
Rasmus Nielsen
Dept. of Civil Engineering, Aalborg University, Aalborg, Denmark
Jesper Ellerbæk Nielsen
Dept. of Civil Engineering, Aalborg University, Aalborg, Denmark
Denica Bozhinova
Hydrology Research Unit, Swedish Meteorological and Hydrological Institute SMHI, Norrkoping, Sweden
Seppo Pulkkinen
Finnish Meteorological Institute FMI, Helsinki, Finland
Faculty of Electrical and Computer Engineering, Colorado State University, Fort Collins, USA
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- Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses E. Thomassen et al. 10.1016/j.jhydrol.2022.127915
- Dynamic Pluvial Flash Flooding Hazard Forecast Using Weather Radar Data P. Rapant & J. Kolejka 10.3390/rs13152943
- Cost-sensitive rainfall thresholds for shallow landslides G. Sala et al. 10.1007/s10346-021-01707-4
- Development and Application of a Real-Time Flood Forecasting System (RTFlood System) in a Tropical Urban Area: A Case Study of Ramkhamhaeng Polder, Bangkok, Thailand D. Chitwatkulsiri et al. 10.3390/w14101641
- Evaluation of Satellite Based Rainfall Estimation Z. Mohamad et al. 10.1088/1755-1315/620/1/012011
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- Tracing the culprits over the destruction of three coastal communities during a rouge rainstorm on August 2021 in north central Türkiye A. Oguz Altunel & F. Kara 10.1016/j.ocecoaman.2023.106630
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Latest update: 19 Apr 2024
Short summary
A multinational assessment of radar's ability to capture heavy rain events is conducted. In total, six different radar products in Denmark, the Netherlands, Finland and Sweden were considered. Results show a fair agreement, with radar underestimating by 17 %-44 % on average compared with gauges. Despite being adjusted for bias, five of six radar products still exhibited strong conditional biases with intensities of 1–2% per mm/h. Median peak intensity bias was significantly higher, reaching 44 %–67%.
A multinational assessment of radar's ability to capture heavy rain events is conducted. In...
