Abstract
In this paper we introduce about the marine data archived at Indian National Centre for Ocean Information Services (INCOIS), Ministry of Earth Sciences, India. Heterogeneous data from in situ, remote sensing and ocean models are archived. In-situ ocean observations includes data from Lagrangian as well Eulerian platforms like Argo floats, moored buoys etc, while remote sensing include data from NOAA satellite series, OceanScat etc. The data generated is translated into ocean information services through analysis and modelling. Data is disseminated to users using variety of means like web with GIS features, ERDDAP, Live Access server with facilities to search, visualize and download.
Highlights
The Indian National Centre for Ocean Information (INCOIS) was established as an autonomous body in 1999 under the Ministry of Earth Sciences (MoES), Govt. of India
While Ocean Data and Information System (ODIS) is used to disseminate unstructured in situ observations, Remote Sensing and Model data which are in regular grids are served using Live Access Server (LAS)
Indian National Centre for Ocean Information Services (INCOIS) with strong organizational links with all the agencies involved in ocean observational programmes ensure constant flow of data to its centre
Summary
The Indian National Centre for Ocean Information (INCOIS) was established as an autonomous body in 1999 under the Ministry of Earth Sciences (MoES), Govt. of India. INCOIS has been playing a key role in providing ocean data, information and advisory services to society, industry, government and scientific communities through sustained ocean observations. Part of this service includes constant improvements through systematic and focused research. A network of ocean observing systems covering both open and coastal oceans and including both in-situ and remote sensing instruments, has been established in the Indian Ocean by various agencies under MoES. These observing network provides data on various oceanographic and surface meteorological parameters in real-time.
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