Characterization of Vertical Thermodynamic Structures in Tropical Cyclones from GNSS Radio Occultation

Long-range tropical cyclone (TC) intensity forecasts remain one of the biggest challenges in numerical weather prediction models and forecast errors have been attributed to several observational deficits. It has been noted in previous studies that the TC middle troposphere is under-observed, and that remote sensing techniques are ideal for filling the observational gaps left by dropsondes. Vertical profiling of TC thermodynamics from conventional passive microwave and infrared sensors has historically been limited due to coarse vertical resolution as well as signal degradation from clouds and precipitation. High vertical resolution Global Navigation Satellite System (GNSS) radio occultation (RO) soundings are insensitive to clouds and precipitation, providing a unique opportunity to study TC thermodynamic vertical structure.

In this study, GNSS RO profiles from COSMIC-1 (2006-2019) and COSMIC-2 (2019-2023) colocated to TC tracks are analyzed in conjunction with dropsondes and model reanalysis in the TC environment and any biases are assessed. Vertical profiles of atmospheric refractivity, temperature, and moisture are binned radially outward from the center of their respective TCs are used to create median profile composites at each distance. Subsets of the colocated profiles are also used to determine differences in vertical thermodynamic structure between different TC intensities and TC quadrants. Temporal evolution of individual storms and composites are also considered to determine if intensification processes are observable from RO. A more complete understanding of the vertical thermodynamic structure of the TC middle troposphere and its evolution over time will likely improve model representation and reduce model forecast errors.