A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products

A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products

Accurate tropospheric delay (TD) and weighted mean temperature (Tm) are important for Global Navigation Satellite System (GNSS) positioning and GNSS meteorology. For this purpose, plenty of empirical models have been built to provide estimates of TD and Tm. However, these models cannot resolve TD an...

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Bibliographic Details
Main Authors: Liying Cao, Bao Zhang, Junyu Li, Yibin Yao, Lilong Liu, Qishun Ran, Zhaohui Xiong
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
GNSS positioning
GNSS meteorology
tropospheric delay
weighted mean temperature
Online Access:https://www.mdpi.com/2072-4292/13/13/2644

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