Abstract Submission No. | ABS-2022-04-0110 |
Title of Abstract | Smooth Approximation to Estimate Analyze Fields and Error Fields of Argo T/S data using Data Interpolating Variational Analysis |
Authors | Ravi Kumar Jha*, TVS Udaya Bhaskar |
Organisation | Indian National Centre for Ocean Information Services (INCOIS) |
Address | Pragathi Nagar (B.O),Nizampet (S.O) Hyderabad, Telangana, India Pincode: 500 090 Mobile: 8010142279 E-mail: ravikumar.jha@incois.gov.in |
Country | India |
Presentation | Oral |
Abstract | In this study temperature and salinity datasets obtained from Argo profiling floats were used and gridded products were generated. Data-Interpolating Variational Analysis (DIVA) method was chosen for generating the gridded datasets for T/S profiles. Extensive analysis was taken for obtaining the correct choice of correlation length (L) and signal-to-noise ratio (λ) for generating the value-added products from the raw temperature and salinity. The gridded data obtained for different choices of L and λ were validated with datasets deliberately set aside before performing the analyses and with subsurface data from OMNI buoys. Finally, a comparative analysis was performed with the obtained gridded products from DIVA against the gridded product obtained from objective analysis (οА) to demonstrate the reliability of the product. Such extensive analysis helped to obtain an optimal pair of L and λ. With the optimal estimate of L and λ, further Argo gridded products will be generated and will be made available on INCOIS Live Access Server. |