Featured research (2)
High-frequency radar (HFR)-based observations are extremely useful for studying coastal process due to their fine spatio-temporal resolution. However, these observations often suffer from gaps, caused by a range of operational and external factors, which pose major challenges during their analysis. Herein, we propose the use of spatio-temporal kriging as a means to effectively fill such gaps. This method has been applied to HFR derived surface-current measurements made from the Tamil Nadu High-Frequency Radar station along the eastern coast of India. The proposed method was able to restore surface-current fields and reconstruct the mesoscale and submesoscale circulation features from sparse observations. The proposed method was cross-validated using the leave-one-out cross-validation and the leave-one-day-out cross-validation schemes which, when compared against the accuracy bounds of HFR-based surface-current observations, demonstrated the ability of the method to reconstruct surface-current fields with reasonable fidelity.
- School of Earth, Ocean and Climate Sciences
About Sourav Sil
- Sourav Sil currently works at the School of Earth, Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar. Sourav does research in Physical Oceanography. Their current project is Multiscale Circulation Variability in the Bay of Bengal using numerical models and observations.