General capability of an adaptive learning model for dual-polarization radar rainfall mapping
Author:
Affiliation:
1. Colorado State University,Fort Collins,CO,USA,80523
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642359.pdf?arnumber=10642359
Reference5 articles.
1. The quantitative precipitation estimation system for Dallas–Fort Worth (DFW) urban remote sensing network
2. An Improved Dual-Polarization Radar Rainfall Algorithm (DROPS2.0): Application in NASA IFloodS Field Campaign
3. Polarimetric Radar Quantitative Precipitation Estimation Using Deep Convolutional Neural Networks
4. A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations
5. Improving Explainability of Deep Learning for Polarimetric Radar Rainfall Estimation
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