01-05 December 2025
INCOIS, Hyderabad, India.
| Abstract Submission No. | ABS-05-0387 |
| Title of Abstract | Impact of Data assimilation in the Indian ocean wave forecasting system |
| Authors | VEDULA CHANDRA SEKHAR*, REMYA PG, T.V.S.UDAYA BHASKAR |
| Organisation | KUFOS-INCOIS Joint Research Centre & INCOIS |
| Address | 301, SR Diamond, Opp.INCOIS Main gate Hyderabad, Telangana, India Pincode: 500090 E-mail: chandrasekhar.v@incois.gov.in |
| Country | India |
| Presentation | Poster |
| Abstract | The Indian Ocean Wave Forecasting System (IOWFS), established at INCOIS, provides operational forecasts of wave fields and associated advisories, alerts, and warnings. The system employs the WAVEWATCHIII model with assimilation of significant wave height from satellite altimeters and in-situ measurements from wave rider and met-ocean buoys. A comprehensive validation was undertaken for the Indian Ocean for a period of two years from 2022⿿2024, with emphasis on seasonal variability across the Pre-monsoon, Monsoon, and Post-monsoon periods, as well as high swell and cyclone conditions. Comparative analyses of data-assimilated and free-run wave parameters were performed using in-situ observations (wave rider buoy, moored buoy and wave drifters). Results demonstrate significant improvements in predictive skill with assimilation, particularly during extreme events. The longer memory of swell in the assimilated model improves forecast skill during extreme swell events, thereby supporting swell surge early warnings. This study advocates the importance of wave data assimilation for the improvement of wave forecast in the Indian Ocean. By evaluating the accuracy of wave forecasts, this study supports more reliable coastal warnings and greater safety in the coastal regions of India. |
| Are you part of IIOE-2 endorsed project | no |
| Keywords | Wave forecasting, Swell surges,Data assimilation |
| For Awards | yes |
| Date Of Birth | 08-11-1992 |
| ECSN Registration Number | IIOE2-ECSN-0206 |