A Machine Learning Model For Radar Quantitative Precipitation Estimation In Beijing, China
Author:
Affiliation:
1. Tsinghua University,Department of Hydraulic Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282719.pdf?arnumber=10282719
Reference9 articles.
1. Deep learning for surface precipitation estimation using multidimensional polarimetric radar measurements
2. Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation during Landfalling Typhoons in South China
3. Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation
4. Estimation of Light Rainfall Using Ku-Band Dual-Polarization Radar
5. An Improved Dual-Polarization Radar Rainfall Algorithm (DROPS2.0): Application in NASA IFloodS Field Campaign
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