Atmospheric Humidity Estimation From Wind Profiler Radar Using a Cascaded Machine Learning Approach
Author:
Affiliation:
1. School of Electrical and Computer Engineering and Advanced Radar Research Center, University of Oklahoma, Norman, OK, USA
2. Hong Kong Observatory, Kowloon, Hong Kong
Funder
Hong Kong Observatory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10173525.pdf?arnumber=10173525
Reference51 articles.
1. Humidity Gradient Profiles from Wind Profiling Radars Using the NOAA/ETL Advanced Signal Processing System (SPS)
2. Estimation of a Humidity Profile Using Turbulence Echo Characteristics
3. Estimating atmospheric humidity using MODIS cloud-free data in a temperate humid region
4. Estimation of Humidity Profiles by Combining Co-Located VHF and UHF Wind-Profiling Radar Observation
5. High-resolution humidity profiles retrieved from wind profiler radar measurements
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