High-Resolution Operational Ocean Forecast and Reanalysis System for the Indian Ocean

P. A. Francis, A. K. Jithin, J. B. Effy, A. Chatterjee, K. Chakraborty, A. Paul, B. Balaji, S. S. C. Shenoi, P. Biswamoy, A. Mukherjee, P. Singh, B. Deepsankar, S. Siva Reddy, P. N. Vinayachandran, M. S. Girish Kumar, T. V. S. Udaya Bhaskar, M. Ravichandran, A. S. Unnikrishnan, D. Shankar, A. PrakashS. G. Aparna, R. Harikumar, K. Kaviyazhahu, K. Suprit, R. V. Shesu, N. Kiran Kumar, N. Srinivasa Rao, K. Annapurnaiah, R. Venkatesan, A. S. Rao, E. N. Rajagopal, V. S. Prasad, M. D. Gupta, T. M. Balakrishnan Nair, E. P. R. Rao, B. V. Satyanarayana

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23 Scopus citations

Abstract

Abstract A 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.
Original languageEnglish (US)
Pages (from-to)E1340-E1356
Number of pages1
JournalBulletin of the American Meteorological Society
Volume101
Issue number8
DOIs
StatePublished - Aug 27 2020

Bibliographical note

KAUST Repository Item: Exported on 2021-02-09
Acknowledgements: Authors gratefully acknowledge the comments and suggestions made by Dr.Satish Shetye and Prof. B. N. Goswami, cochairs of the Project Monitoring Committee (PMC) of the HOOFS project during 2012–17 and other members of the PMC, which led to the successful implementation of this project. Authors also gratefully acknowledge Dr. M. Rajeevan, Secretary to Government of India, Ministry of Earth Sciences, Dr. Shailesh Naik, former Secretary to Government of India, Ministry of Earth Sciences and program officers of the Ministry of Earth Sciences for their continued support to implement this project at INCOIS. Financial support from MoES to implement the HOOFS
and O-MASCOT projects are gratefully acknowledged. Support from the HPC support team, both at IITM Pune and NCMRWF Noida and the support of the computer and IT team of INCOIS were critical for the successful implementation of the project. Authors thank developers of ROMS for making the model publicly available. Arya Paul and Siva Reddy gratefully acknowledge the training on LETKF by Eugenia Kalnay, Travis Sluka, and Steve Penny at the University of Maryland under the Monsoon Mission-I project. The SST in INCOIS-GODAS is relaxed to Optimum Interpolation SST provided by National Oceanic and Atmospheric Administration (OISST; www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.highres.html). Authors thank three anonymous reviewers for their suggestions and comments, which helped to improve the paper. This is INCOIS contribution No. 376.

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