Near real-time interactive data visualization and dashboard package for oceanic gliders and modeling systems

One of the fundamental buoyancy glider scientific missions in the Gulf of Mexico is to collect real-time temperature and salinity data and eventually assimilate these data into the coupled atmospheric (hurricane)-ocean modeling system to improve forecasts, e.g., National Oceanic and Atmospheric Administrations (NOAA)'s National Centers for Environmental Prediction (NCEP) coupled HYbrid Coordinate Ocean Model (HYCOM) and Hurricane Weather Research and Forecasting model (HWRF) known as HYCOM-HWRF. A current challenge of this mission has been data visualization with in situ and model comparisons. This project discusses the development of a unique, real-time, responsive web-platform for monitoring and modeling these data. This web-platform is Python-based and offers multiple functionalities to meet the typical needs of a glider mission, such as glider geolocation visualization navigation on a GIS map, data visualization of associated mounted sensors, as well as comparisons between gliders and model systems. This platform also highlights the total contribution of participating institutes by using a calendar heatmap similar to Github's commit history. Research analysts can then visualize real-time and delayed mode science graphics. The web-platform is interactive and automatic and can provide data sharing resources to the scientific community.