Optimizing Sensor Placement in the Gulf of Mexico Coastal Ocean Observing System Using a Stochastic Geo-Spatiotemporal Bipartite Network

This research proposes a Geo-Spatiotemporal Bipartite Network (GSTBN) model to identify optimal placements for new sensors in the Gulf of Mexico Coastal Ocean Observing System (GCOOS) to improve the accuracy of the HYCOM ocean prediction model.