Fig. 28: Ocean State Forecasts Products

2. Ocean State Forecast: INCOIS generates ocean state forecasts using a suite of state-of-the-art ocean numerical models, which are evaluated extensively using observations, especially indigenously developed real-time observational systems, customized to simulate, and predict the Indian Ocean features accurately. Forecasts of ocean parameters such as waves, swells, currents, Sea Surface Temperature, Mixed Layer

Depth, Tides, etc. are generated operationally on High-Performance Computers and are disseminated in vernacular languages through different modes such as Mobile phones (SMS & voice messages), Radio (AIR & FM), TV, Electronic Display Boards, E-mails, Website and Fax. It closely collaborates with various

NGOs working with the fishing community to disseminate the advisories daily. Many products developed by INCOIS over the years have found extensive use in various offshore initiatives, contributing to the blue economy. Joint INCOIS-IMD Bulletins comprising meteorological and oceanic information and forecasts, along with separate high sea-state warnings, are issued during extreme weather conditions.

Fig. 28: Ocean State Forecasts Products

3. Digital Ocean Platform: INCOIS serves a wide range of stakeholders such as the Navy, Coast Guard, ports, research institutes, academia, etc. by providing them with oceanographic data. The ‘Digital Ocean’ platform of INCOIS is a one-stop solution for all their ocean data-related needs and has brought a sea-change in improving our understanding of oceans. It also plays a central role in the sustainable management of oceans and expanding the country’s ‘Blue Economy’ initiatives. The platform facilitates an online interactive web-based environment with GIS capabilities for data integration, 3D and 4D data visualization, and data analysis to assess the evolution of oceanographic features obtained from multiple sources like on-site monitoring devices, remote sensing, and model data. It uses GIS extensively to map the available data sets of each platform spatial and temporal in real-time. Integration of all the data from in-situ, remote sensing observing systems and models is still a big challenge, due to the wide variety of geospatial data of different resolutions, volumes, and specificity. Hence, different web services are implemented to serve these