In this project, I work with Feng Lujia to spearhead a systematic investigation into the potential of using GPS/GNSS meteorology to understand climate at a range of temporal scales, from diurnal to interannual.
Mentored by: Dr. Lujia Feng, Professor Emma Hill
In this project, we investigate the relationship between GPS/GNSS-derived zenith-wet-delay and its conversion to precipitable water using reanalysis data. We show that previous linear approximation methods championed by Bevis et al. [1992] may not necessarily apply to the tropics. We find that within the tropics, zenith wet delay can be directly used to monitor and study the variability of precipitable water in the atmosphere, therefore eliminating the need for post-processing of zenith wet delay into precipitable water vapour.
Mentored by: Dr. Lujia Feng, Professor Emma Hill
GPS/GNSS-derived values of precipitable water have high temporal resolution on the order of minutes, and therefore can be used to study regional and local convective events that last on the order of hours, something that cannot yet be done using satellite-retrievals of hourly-averaged precipitable water. We find that different types of convective events over Singapore show different relationships with precipitation, likely related to the location of origin and propagation of the storm over time. Precipitable water is also demonstrably able to capture and further analyse temporal variability of droughts and monsoon surges.