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A High-Resolution Mesoscale Model Approach to Reproduce Super Typhoon Maysak (2015) Over Northwestern Pacific Ocean

  • Gaurav Tiwari
  • Sushil Kumar
  • Ashish Routray
  • Jagabandhu Panda
  • Indu Jain
Original Article
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Abstract

In this study, an attempt is made to simulate super typhoon Maysak, which occurred over the northwest Pacific Ocean in 2015 and made landfall on the Philippines coast. The aim of the present study is to assess the various atmospheric conditions during the life cycle of Maysak to explore the associated dynamics and behavior over the ocean. For this purpose, the advanced research core of the weather research and forecasting (WRF) mesoscale model is adopted. The model is simulated using 27-km horizontal grid resolution with National Centers for Environmental Prediction global Final analyses (FNL) initial conditions. The relevant parameters, namely storm track, intensity, wind–vorticity, rainfall, minimum sea level pressure, relative humidity, and maximum reflectivity etc., were analyzed. The model is able to perform reasonably well when available observations over the region compared with the simulated values of these parameters. The present study is able to demonstrate the capability of WRF in simulating and predicting the relevant characteristic features of typhoons over the northwest Pacific Ocean region through the case of Maysak.

Keywords

Mesoscale model ARW Typhoon Track of storm 

Notes

Acknowledgements

The first author is thankful to the Department of Science and Technology, Govt. of India for providing research fellowship. The authors sincerely acknowledge departmental computational lab at Gautam Buddha University for numerical simulation, United States Naval Research Laboratory for affording observational data and thankful to NCEP/NCAR for using 10 × 10 Final Analysis input data. We would like to express our gratefulness to the WRF working group to develop a mesoscale community model. The valuable feedbacks from anonymous reviewers are highly appreciated and acknowledged, which helped in overall improvement of the manuscript.

Compliance with Ethical Standards

Conflict of Interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Copyright information

© King Abdulaziz University and Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gaurav Tiwari
    • 1
  • Sushil Kumar
    • 2
  • Ashish Routray
    • 3
  • Jagabandhu Panda
    • 4
  • Indu Jain
    • 5
  1. 1.Department of Earth and Environmental SciencesIndian Institute of Science Education and Research BhopalBhopalIndia
  2. 2.Department of Applied MathematicsGautam Buddha UniversityGreater NoidaIndia
  3. 3.National Centre for Medium Range Weather ForecastingNoidaIndia
  4. 4.Department of Earth and Atmospheric SciencesNational Institute of Technology RourkelaRourkelaIndia
  5. 5.RMSI Pvt. Ltd.NoidaIndia

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