Short-Term Dynamic Radar Quantitative Precipitation Estimation Based on Wavelet Transform and Support Vector Machine
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s13351-020-9036-7.pdf
Reference34 articles.
1. Ayat, H., M. Reza Kavianpour, S. Moazami, et al., 2018: Calibration of weather radar using region probability matching method (RPMM). Theor. Appl. Climatol., 134, 165–176, doi: https://doi.org/10.1007/s00704-017-2266-7.
2. Brandes, E. A., 1975: Optimizing rainfall estimates with the aid of radar. J. Appl. Meteor., 14, 1339–1345, doi: https://doi.org/10.1175/1520-0450(1975)014<1339:OREWTA>2.0.CO;2.
3. Chen, H. N., and V. Chandrasekar, 2015a: Estimation of light rainfall using Ku-band dual-polarization radar. IEEE Trans. Geosci. Remote Sens., 53, 5197–5208, doi: https://doi.org/10.1109/TGRS.2015.2419212.
4. Chen, H. N., and V. Chandrasekar, 2015b: The quantitative precipitation estimation system for Dallas-Fort Worth (DFW) urban remote sensing network. J. Hydrol., 531, 259–271, doi: https://doi.org/10.1016/j.jhydrol.2015.05.040.
5. Chen, H. N., V. Chandrasekar, and R. Bechini, 2017: An improved dual-polarization radar rainfall algorithm (DROPS2.0): Application in NASA IFloodS field campaign. J. Hydrometeorol.18, 917–937, doi: https://doi.org/10.1175/JHM-D-16-0124.1.
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