An Elevation-Coupled Multivariate Regression Model for GNSS-Based FY-4A Precipitable Water Vapor

An Elevation-Coupled Multivariate Regression Model for GNSS-Based FY-4A Precipitable Water Vapor

The measurement of atmospheric moisture content is essential for the monitoring of severe weather events and hydrological studies. This paper proposes a multivariate linear regression correction model that integrates elevation data with Global Navigation Satellite System (GNSS)-derived precipitable...

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Bibliographic Details
Main Authors: Yaping Gao, Jing Lin, Junqiang Han, Tong Luo, Min Zhou, Zhen Jiang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
FY-4A
GNSS
water vapor correction
PWV
Online Access:https://www.mdpi.com/2072-4292/17/14/2371
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