Remote sensing observations that utilize Global Navigation Satellite System (GNSS) signals have been used in geophysical research for decades. GNSS signals are particularly useful for various forms of geophysical research due to its high precision and capability to penetrate clouds and precipitation. As such, the expansion of commercial and government back-bone GNSS observations such as radio occultations (GNSS-RO), GNSS reflections (GNSS-R), and the expanding network of ground stations have received significant investment in past years. These various GNSS observation techniques provide high-quality globally distributed atmospheric retrievals useful in a wide variety of research. Their retrievals also greatly contribute to numerical simulation systems and corresponding data assimilation tools for accurate weather and climate prediction.
This session welcomes submissions including, but not limited to the following topics:
- Neutral atmosphere research topics including planetary boundary layer (PBL), deep convection and heavy precipitation, tropopause (UTLS) thermodynamics, and tropical cyclones using GNSS applications,
- Numerical weather prediction of GNSS remote sensing products for data analysis and data assimilation impacts,
- State-of-the-art atmospheric retrieval algorithm developments including joint retrievals, data fusion, and machine learning/artificial intelligence, and
- GNSS remote sensing technology advancement and novel observing concepts such as polarimetric observations, next generation GNSS observing constellations, and GNSS-R/grazing reflections.
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