ZWDX: a global zenith wet delay forecasting model using XGBoost

ZWDX: a global zenith wet delay forecasting model using XGBoost

Abstract Tropospheric delays play a crucial role for Global Navigation Satellite Systems (GNSS). They are a major error source in GNSS positioning and, at the same time, also a variable of interest in GNSS meteorology. Regardless of whether the delay shall be eliminated or inverted to atmospheric pa...

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Bibliographic Details
Main Authors: Laura Crocetti, Matthias Schartner, Marcus Franz Wareyka-Glaner, Konrad Schindler, Benedikt Soja
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Earth, Planets and Space
Subjects:
Zenith wet delay (ZWD)
Global predictions
XGBoost
Machine learning (ML)
GNSS
Precise point positioning (PPP)
Online Access:https://doi.org/10.1186/s40623-024-02104-6
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https://doi.org/10.1186/s40623-024-02104-6

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