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    • Keywords


      Wave forecast; wind; sea breeze; wave spectra; maximum wave height; wave steepness

    • Abstract


      This study discusses the impact of high-resolution winds on the coastal waves and analyses the effectiveness of the high-resolution winds in recreating the fine-scale features along the coastal regions during the pre-monsoon season (March–May). The influence of the diurnal variation of winds on waves is studied for the Tamil Nadu coastal region using wind fields from weather research and forecast (WRF) (3 km) and European Centre for Medium-Range Weather Forecasts (ECMWF) (27.5 km). The improvement in the coastal forecast is then quantified with wave rider buoy observations. The high-resolution wind fields simulated fine-scale features like land–sea breeze events and showed good agreement with observation results. The error in the wave height and period is reduced by 8% and 46%, respectively, with the use of high-resolution forcing winds WRF over ECMWF, although the overestimation of wave energy on high frequencies due to overestimated WRF winds remains as a challenge in forecasting. The analysis also shows the importance of accurate wave forecast during a short-duration sudden wind ($\sim$12 m/s) occurrence in southern Tamil Nadu near Rameswaram during the pre-monsoon period. Low pressure forms over Tamil Nadu due to the land surface heating, resulting in a sudden increase of winds. High winds and steep waves which cause damage to the property of the coastal community near Rameswaram also were well simulated in the high-resolution forecast system with WRF winds.

    • Author Affiliations



      1. ESSO-Indian National Centre for Ocean Information Services, Pragathi Nagar, Hyderabad 500 090, India.
      2. Institute of Science and Technology, Jawaharlal Nehru Technological University, Hyderabad 500 085, India.
    • Dates

  • Journal of Earth System Science | News

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      Posted on July 25, 2019

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    • Special Issue - "Call for papers"

      Posted on July 18, 2023
      AI/ML in Earth System Sciences

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      Extreme weather events with special emphasis on lightning prediction, observation, and monitoring over India

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