Articles | Volume 23, issue 9
https://doi.org/10.5194/hess-23-3711-2019
© Author(s) 2019. 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-23-3711-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Sep 2019
Research article |
| 16 Sep 2019
| 16 Sep 2019
Quantitative precipitation estimation with weather radar using a data- and information-based approach
Malte Neuper
Institute of Water Resources and River Basin Management, Karlsruhe Institute of Technology – KIT, Karlsruhe, Germany
Institute of Water Resources and River Basin Management, Karlsruhe Institute of Technology – KIT, Karlsruhe, Germany
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Cited
29 citations as recorded by crossref.
- Radar-Based Precipitation Nowcasting Based on Improved U-Net Model Y. Tan et al. https://doi.org/10.3390/rs16101681
- A three stage ‘Matching-Retrieval-Optimization’ method for radar–rainfall retrieval: a case study in the Yiluo River Basin, China Y. Li et al. https://doi.org/10.1080/19475705.2026.2649449
- Debates: Does Information Theory Provide a New Paradigm for Earth Science? Emerging Concepts and Pathways of Information Physics R. Perdigão et al. https://doi.org/10.1029/2019WR025270
- Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data E. Mihuleţ et al. https://doi.org/10.3390/atmos14010182
- Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. https://doi.org/10.1016/j.jhydrol.2024.130871
- Radar Quantitative Precipitation Estimation (QPE) Calibration Methods: A Systematic Literature Review N. Osman & W. Tahir https://doi.org/10.48084/etasr.7534
- Use of radar data for characterizing extreme precipitation at fine scales and short durations K. Lengfeld et al. https://doi.org/10.1088/1748-9326/ab98b4
- Information-theoretic analysis of commercial microwave link and environmental variables in rainfall estimation A. Špačková et al. https://doi.org/10.5194/amt-18-7445-2025
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. https://doi.org/10.3390/rs13030351
- Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements U. Ehret et al. https://doi.org/10.5194/hess-24-4389-2020
- Exploring soil moisture dynamics and variability across scales and geological settings using gaussian mixture-long short-term memory networks B. Bischof et al. https://doi.org/10.1016/j.jhydrol.2025.134364
- Event controls on intermittent streamflow in a temperate climate N. Kaplan et al. https://doi.org/10.5194/hess-26-2671-2022
- Quality-Based Combination of Multi-Source Precipitation Data A. Jurczyk et al. https://doi.org/10.3390/rs12111709
- Opportunities and challenges for precipitation forcing data in post‐wildfire hydrologic modeling applications T. Partridge et al. https://doi.org/10.1002/wat2.1728
- How well do process-based and data-driven hydrological models learn from limited discharge data? M. Staudinger et al. https://doi.org/10.5194/hess-29-5005-2025
- Implementation of a UAV-aided calibration method for a mobile dual-polarization weather radar G. Buckingham et al. https://doi.org/10.1016/j.ejrs.2024.04.005
- The 3D Neural Network for Improving Radar-Rainfall Estimation in Monsoon Climate N. Roslan et al. https://doi.org/10.3390/atmos12050634
- Estimates of tree root water uptake from soil moisture profile dynamics C. Jackisch et al. https://doi.org/10.5194/bg-17-5787-2020
- Long-term multi-source precipitation estimation with high resolution (RainGRS Clim) A. Jurczyk et al. https://doi.org/10.5194/amt-16-4067-2023
- SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates M. Mälicke et al. https://doi.org/10.1016/j.spasta.2023.100737
- Evaluating the Applicability of the PUSH Framework to Quasi-Global Infrared Precipitation Retrievals at 0.5°/Daily Spatial/Temporal Resolution S. Khan & V. Maggioni https://doi.org/10.1007/s13143-020-00185-3
- Nonlinearity and Multivariate Dependencies in the Terrestrial Leg of Land‐Atmosphere Coupling H. Hsu & P. Dirmeyer https://doi.org/10.1029/2020WR028179
- Deep Learning for Tropical Rainfall: Enhancing Quantitative Estimation and Extreme Event Detection Using Polarimetric Radar N. Kouadio et al. https://doi.org/10.4236/ojmh.2026.162009
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. https://doi.org/10.5194/hess-25-5277-2021
- Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems U. Ehret & P. Dey https://doi.org/10.5194/hess-27-2591-2023
- Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC) K. Ośródka et al. https://doi.org/10.5194/amt-15-5581-2022
- Multi-scale investigation of conditional errors in radar-rainfall estimates B. Seo & W. Krajewski https://doi.org/10.1016/j.advwatres.2021.104041
- The role and value of distributed precipitation data in hydrological models R. Loritz et al. https://doi.org/10.5194/hess-25-147-2021
- Similarity of catchment dynamics based on the interaction between streamflow and forcing time series: Use of a transfer entropy signature M. Neri et al. https://doi.org/10.1016/j.jhydrol.2022.128555
29 citations as recorded by crossref.
- Radar-Based Precipitation Nowcasting Based on Improved U-Net Model Y. Tan et al. https://doi.org/10.3390/rs16101681
- A three stage ‘Matching-Retrieval-Optimization’ method for radar–rainfall retrieval: a case study in the Yiluo River Basin, China Y. Li et al. https://doi.org/10.1080/19475705.2026.2649449
- Debates: Does Information Theory Provide a New Paradigm for Earth Science? Emerging Concepts and Pathways of Information Physics R. Perdigão et al. https://doi.org/10.1029/2019WR025270
- Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data E. Mihuleţ et al. https://doi.org/10.3390/atmos14010182
- Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. https://doi.org/10.1016/j.jhydrol.2024.130871
- Radar Quantitative Precipitation Estimation (QPE) Calibration Methods: A Systematic Literature Review N. Osman & W. Tahir https://doi.org/10.48084/etasr.7534
- Use of radar data for characterizing extreme precipitation at fine scales and short durations K. Lengfeld et al. https://doi.org/10.1088/1748-9326/ab98b4
- Information-theoretic analysis of commercial microwave link and environmental variables in rainfall estimation A. Špačková et al. https://doi.org/10.5194/amt-18-7445-2025
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. https://doi.org/10.3390/rs13030351
- Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements U. Ehret et al. https://doi.org/10.5194/hess-24-4389-2020
- Exploring soil moisture dynamics and variability across scales and geological settings using gaussian mixture-long short-term memory networks B. Bischof et al. https://doi.org/10.1016/j.jhydrol.2025.134364
- Event controls on intermittent streamflow in a temperate climate N. Kaplan et al. https://doi.org/10.5194/hess-26-2671-2022
- Quality-Based Combination of Multi-Source Precipitation Data A. Jurczyk et al. https://doi.org/10.3390/rs12111709
- Opportunities and challenges for precipitation forcing data in post‐wildfire hydrologic modeling applications T. Partridge et al. https://doi.org/10.1002/wat2.1728
- How well do process-based and data-driven hydrological models learn from limited discharge data? M. Staudinger et al. https://doi.org/10.5194/hess-29-5005-2025
- Implementation of a UAV-aided calibration method for a mobile dual-polarization weather radar G. Buckingham et al. https://doi.org/10.1016/j.ejrs.2024.04.005
- The 3D Neural Network for Improving Radar-Rainfall Estimation in Monsoon Climate N. Roslan et al. https://doi.org/10.3390/atmos12050634
- Estimates of tree root water uptake from soil moisture profile dynamics C. Jackisch et al. https://doi.org/10.5194/bg-17-5787-2020
- Long-term multi-source precipitation estimation with high resolution (RainGRS Clim) A. Jurczyk et al. https://doi.org/10.5194/amt-16-4067-2023
- SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates M. Mälicke et al. https://doi.org/10.1016/j.spasta.2023.100737
- Evaluating the Applicability of the PUSH Framework to Quasi-Global Infrared Precipitation Retrievals at 0.5°/Daily Spatial/Temporal Resolution S. Khan & V. Maggioni https://doi.org/10.1007/s13143-020-00185-3
- Nonlinearity and Multivariate Dependencies in the Terrestrial Leg of Land‐Atmosphere Coupling H. Hsu & P. Dirmeyer https://doi.org/10.1029/2020WR028179
- Deep Learning for Tropical Rainfall: Enhancing Quantitative Estimation and Extreme Event Detection Using Polarimetric Radar N. Kouadio et al. https://doi.org/10.4236/ojmh.2026.162009
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. https://doi.org/10.5194/hess-25-5277-2021
- Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems U. Ehret & P. Dey https://doi.org/10.5194/hess-27-2591-2023
- Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC) K. Ośródka et al. https://doi.org/10.5194/amt-15-5581-2022
- Multi-scale investigation of conditional errors in radar-rainfall estimates B. Seo & W. Krajewski https://doi.org/10.1016/j.advwatres.2021.104041
- The role and value of distributed precipitation data in hydrological models R. Loritz et al. https://doi.org/10.5194/hess-25-147-2021
- Similarity of catchment dynamics based on the interaction between streamflow and forcing time series: Use of a transfer entropy signature M. Neri et al. https://doi.org/10.1016/j.jhydrol.2022.128555
Saved (final revised paper)
Latest update: 09 Aug 2026
Short summary
In this study, we apply a data-driven approach to quantitatively estimate precipitation using weather radar data. The method is based on information theory concepts. It uses predictive relations expressed by empirical discrete probability distributions, which are directly derived from data rather than the standard deterministic functions.
In this study, we apply a data-driven approach to quantitatively estimate precipitation using...
