- Dona Paula, Goa, India.
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- iiosc2020[at]nio[dot]org
Abstract Submission No. | ABS-2022-04-0418 |
Title of Abstract | Recent moored-buoy observations in the Northern Indian Ocean: A data management perspective |
Authors | Suprit K*, Venkat Shesu R, Asif P, Rajeshkhanna S, Pattabhi Rama Rao E, Udaya Bhaskar TVS |
Organisation | Indian National Centre for Ocean Information Services (INCOIS) |
Address | ODM, Indian National Centre for Ocean Information Services (INCOIS) Hyderabad, TELANGANA, India Pincode: 500090 Mobile: 8121279073 E-mail: suprit.k@incois.gov.in |
Country | India |
Presentation | Oral |
Abstract | An operational moored-buoy network called OMNI (Ocean Moored buoy Network for the Northern Indian ocean) is set up under the Ministry of Earth Sciences (MoES) National Data Buoy Program (NDBP) to ensure the availability of high quality and high-resolution time-series in-situ observations in the data-sparse region of the Northern Indian Ocean. The buoy network consists of 5 buoys in the Arabian Sea and 7 buoys in the Bay of Bengal. It provides meteorological and upper-ocean observations in both real-time and delayed mode. The OMNI boys were deployed and maintained by the National Institute of Ocean Technology (NIOT) and data management activities are taken care of by the Indian National Centre for Ocean Information Services (INCOIS): both are autonomous institutions under the MoES. At the INCOIS data center, data quality control involves a two-tier approach that includes automated real-time quality checks and a manual delayed-mode assessment of the sensor data retrieved after the deployment. In this study, we will present the status and summary statistics of the data returns which show the availability of high-quality observations since 2012 when the first couple of OMNI buoys were deployed in the Bay of Bengal and the continuous evolution and improvements made thereafter. Further, some applications of data and derived-data products obtained from buoys will be discussed, along with user feedback, which contributed significantly to improving the data quality and related services. |