Articles | Volume 10, issue 1
https://doi.org/10.5194/nhess-10-149-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-10-149-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
26 Jan 2010
Time-dependent Z-R relationships for estimating rainfall fields from radar measurements
L. Alfieri
Dipartimento di Idraulica, Trasporti ed Infrastrutture Civili (DITIC), Politecnico di Torino, Torino, Italy
Institute for Environment and Sustainability (IES), Joint Research Centre, EC, Ispra, Italy
P. Claps
Dipartimento di Idraulica, Trasporti ed Infrastrutture Civili (DITIC), Politecnico di Torino, Torino, Italy
F. Laio
Dipartimento di Idraulica, Trasporti ed Infrastrutture Civili (DITIC), Politecnico di Torino, Torino, Italy
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Cited
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- Temporal precipitation estimation from nearby radar reflectivity using dynamic factor analysis in the mountainous watershed - a case during Typhoon Morakot Y. Kuo et al. https://doi.org/10.1002/hyp.9639
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- Derived Observations From Frequently Sampled Microwave Measurements of Precipitation—Part I: Relations to Atmospheric Thermodynamics Z. Haddad et al. https://doi.org/10.1109/TGRS.2017.2671598
- Towards a nonlinear radar-gauge adjustment of radar via a piece-wise method M. Bruen & F. O'Loughlin https://doi.org/10.1002/met.1390
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- Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China X. Pan et al. https://doi.org/10.3390/rs15112866
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- Intelligent Reconstruction of Radar Composite Reflectivity Based on Satellite Observations and Deep Learning J. Zhao et al. https://doi.org/10.3390/rs16020275
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- Simulating sub-hourly rainfall data for current and future periods using two statistical disaggregation models: case studies from Germany and South Korea I. Vorobevskii et al. https://doi.org/10.5194/hess-28-391-2024
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- Weather Radar and Rain-Gauge Data Fusion for Quantitative Precipitation Estimation: Two Case Studies F. Cuccoli et al. https://doi.org/10.1109/TGRS.2020.2978439
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- A Dynamic Approach to Quantitative Precipitation Estimation Using Multiradar Multigauge Network Y. Gou et al. https://doi.org/10.1109/TGRS.2020.2976724
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- Bias adjustment and advection interpolation of long-term high resolution radar rainfall series S. Thorndahl et al. https://doi.org/10.1016/j.jhydrol.2013.10.056
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- Optimizing rainfall prediction in central thailand with weather radar and machine learning during the monsoon N. Mahavik et al. https://doi.org/10.1007/s12665-025-12149-9
- Improved Algorithms for Removing Isolated Non-Meteorological Echoes and Ground Clutters in CINRAD H. Zou et al. https://doi.org/10.1007/s13351-018-7176-9
- Radar Quantitative Precipitation Estimation Based on the Gated Recurrent Unit Neural Network and Echo-Top Data H. Zou et al. https://doi.org/10.1007/s00376-022-2127-x
- Radar-Based Precipitation Nowcasting Based on Improved U-Net Model Y. Tan et al. https://doi.org/10.3390/rs16101681
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- Radar-derived quantitative precipitation estimation in complex terrain over the eastern Tibetan Plateau Y. Gou et al. https://doi.org/10.1016/j.atmosres.2017.12.017
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- An evaluation of numerical weather prediction based rainfall forecasts M. Shahrban et al. https://doi.org/10.1080/02626667.2016.1170131
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- Application of Machine Learning Techniques to Improve Multi-Radar Mosaic Precipitation Estimates in Shanghai R. Wang et al. https://doi.org/10.3390/atmos14091364
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- A Dynamical Z-R Relationship for Precipitation Estimation Based on Radar Echo-Top Height Classification W. Wu et al. https://doi.org/10.1155/2018/8202031
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