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dc.contributor.authorFrancis, P.A.
dc.contributor.authorJithin, A.K.
dc.contributor.authorEffy, J.B.
dc.contributor.authorChatterjee, Abhisek
dc.contributor.authorChakraborty, Kunal
dc.contributor.authorPaul, A.
dc.contributor.authorBalaji, B.
dc.contributor.authorShenoi, S.S.C.
dc.contributor.authorBiswamoy, P.
dc.contributor.authorMukherjee, Arnab
dc.contributor.authorSingh, Prerna
dc.contributor.authorDeepsankar, B.
dc.contributor.authorReddy, S.S.
dc.contributor.authorVinayachandran, P.N.
dc.contributor.authorGirishKumar, M.S.
dc.contributor.authorBhaskar, T.V.S.U.
dc.contributor.authorRavichandran, M.
dc.contributor.authorUnnikrishnan, A.S.
dc.contributor.authorShankar, D.
dc.contributor.authorAmol, P.
dc.contributor.authorAparna, S.G.
dc.contributor.authorHarikumar, R.
dc.contributor.authorKaviyazhaku, K.
dc.contributor.authorSuprit, K.
dc.contributor.authorShesu, R.V.
dc.contributor.authorKiranKumar, N.
dc.contributor.authorRao, N.S.
dc.contributor.authorAnnapurnaiah, K.
dc.contributor.authorVenkatesan, R.
dc.contributor.authorRao, A.S.
dc.contributor.authorRajagopal, E.N.
dc.contributor.authorPrasad, V.S.
dc.contributor.authorGupta, M.D.
dc.contributor.authorNair, T.M.B.
dc.contributor.authorRao, E.P.R.
dc.contributor.authorSatyanarayana, B.V.
dc.date.accessioned2020-12-31
dc.date.accessioned2021-02-09T10:13:14Z
dc.date.available2020-08-27
dc.date.available2021-02-09T10:13:14Z
dc.date.issued2020
dc.identifier.citationBulletin of the American Meteorological Society, vol.101(8); 2020; E1340-E1356
dc.identifier.issn1520-0477
dc.identifier.otherhttps://journals.ametsoc.org/bams/article/101/8/E1340/347245/High-Resolution-Operational-Ocean-Forecast-and
dc.identifier.urihttps://doi.org/10.1175/bams-d-19-0083.1
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/8434
dc.descriptionIF2019 - 9.384
dc.description.abstractA good understanding of the general circulation features of the oceans, particularly of the coastal waters, and ability to predict the key oceanographic parameters with good accuracy and sufficient lead time are necessary for the safe conduct of maritime activities such as fishing, shipping, and offshore industries. Considering these requirements and buoyed by the advancements in the field of ocean modeling, data assimilation, and ocean observation networks along with the availability of the high-performance computational facility in India, Indian National Centre for Ocean Information Services has set up a �High-Resolution Operational Ocean Forecast and Reanalysis System� (HOOFS) with an aim to provide accurate ocean analysis and forecasts for the public, researchers, and other types of users like navigators and the Indian Coast Guard. Major components of HOOFS are (i) a suite of numerical ocean models configured for the Indian Ocean and the coastal waters using the Regional Ocean Modeling System (ROMS) for forecasting physical and biogeochemical state of the ocean and (ii) the data assimilation based on local ensemble transform Kalman filter that assimilates in situ and satellite observations in ROMS. Apart from the routine forecasts of key oceanographic parameters, a few important applications such as (i) Potential Fishing Zone forecasting system and (ii) Search and Rescue Aid Tool are also developed as part of the HOOFS project. The architecture of HOOFS, an account of the quality of ocean analysis and forecasts produced by it and important applications developed based on HOOFS are briefly discussed in this article.
dc.languageen
dc.publisherAmerican Meteorological Society
dc.relation.ispartofBull Am Meteorol Soc
dc.relation.isreferencedbySCI
dc.rightsOnly the author version of the copright reserved papers uploaded. Contact drs@nio.org for any complaints regarding copyright violations
dc.titleHigh-resolution Operational Ocean Forecast and reanalysis System for the Indian Ocean
dc.typeJournal Article
dc.affiliation.authorIndian National Centre for Ocean Information Services, Ministry of Earth Sciences, Hyderabad, India


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