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GNSS Meteorology: AI-Enabled Assimilation of GNSS-derived Tropospheric Parameters with Two Demonstrated Case Studies

GNSS Meteorology is an increasingly important source of atmospheric observations, providing near-real-time information on tropospheric water vapor derived from GNSS signal delays. These observations become especially valuable when available at high density, enabling improved characterization of mesoscale moisture gradients and rapidly evolving ...
Alexandros Matakos   +4 more
openaire   +1 more source

Research on Monitoring Strategy of Loess Landslide with GNSS Meteorology

2022
Jianwen Jiang   +4 more
openaire   +1 more source

GNSS-Based Machine Learning Storm Nowcasting

Remote Sensing, 2020
Guergana Guerova   +2 more
exaly  

GNSS meteorological ensemble tools (GMET): a free-access online service for GNSS meteorological applications

GPS Solutions
Weixing Zhang   +6 more
openaire   +1 more source

Severe weather investigation using GNSS signals - a new dimension of GNSS meteorology [PDF]

open access: possibleGeophysical Research Abstracts, 2012
Witold Rohm   +5 more
openaire  

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