A comprehensive understanding of tropical cyclone (TC) intensity and trajectory is imperative for accurately forecasting storm surges. The present aim is to investigate the features of TC Ockhi and the respective storm surge using the WRF-ARW meteorological and Delft3D-FM hydrodynamic models. The focus is on understanding the performance of the WRF winds in simulating storm surges associated with the cyclone. The WRF model is used to simulate the features of TC Ockhi, and the results are validated with in-situ observations, scatterometer observations, and reanalysis datasets. The Delft3D-FM hydrodynamic model simulates the storm surge associated with TC Ockhi. The hydrodynamic model is forced with the spatially varying wind and pressure fields from the WRF model. The hydrodynamic model results are validated with the observed water level for five different locations and show that the model can capture the surge satisfactorily along the storm track. The hydrodynamic model is also forced with the IMD observed track data (Wind and pressure) whose storm surge is well correlated with the storm surge obtained from WRF data. Overall, the study demonstrates the usefulness of simulation-based approaches in understanding the dynamics of cyclones and predicting storm surges.

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Performance Evaluation of WRF-ARW Winds for Simulating Storm Surge Using Delft3D-FM for Very Severe Cyclone Storm Ockhi

  • S. Rajendiran,
  • Pubali Mukherjee,
  • Beulah Hepzibah Ravikumar,
  • Balaji Ramakrishnan

摘要

A comprehensive understanding of tropical cyclone (TC) intensity and trajectory is imperative for accurately forecasting storm surges. The present aim is to investigate the features of TC Ockhi and the respective storm surge using the WRF-ARW meteorological and Delft3D-FM hydrodynamic models. The focus is on understanding the performance of the WRF winds in simulating storm surges associated with the cyclone. The WRF model is used to simulate the features of TC Ockhi, and the results are validated with in-situ observations, scatterometer observations, and reanalysis datasets. The Delft3D-FM hydrodynamic model simulates the storm surge associated with TC Ockhi. The hydrodynamic model is forced with the spatially varying wind and pressure fields from the WRF model. The hydrodynamic model results are validated with the observed water level for five different locations and show that the model can capture the surge satisfactorily along the storm track. The hydrodynamic model is also forced with the IMD observed track data (Wind and pressure) whose storm surge is well correlated with the storm surge obtained from WRF data. Overall, the study demonstrates the usefulness of simulation-based approaches in understanding the dynamics of cyclones and predicting storm surges.