Open access
Sep 2026
Machine-learned mapping functions for the asymmetric troposphere
This work marks the first global machine learning-based empirical MF models that directly capture atmospheric asymmetry, offering a flexible and physically consistent alternative to traditional models in space geodesy.
Zhen-Yi Zhang, B. Soja
· Journal of Geodesy · 1 citation