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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- 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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- 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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- 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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