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Regression-Based Approach to Analyze Tropical Cyclone Genesis

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Advances in Data and Information Sciences

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 39))

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Abstract

This paper attempts to explore regression approach for the prediction of tropical cyclone genesis in North Indian Ocean. The cyclonic storms from the Bay of Bengal are the usual phenomenon in east coast of India. The present study mainly focuses on two such very severe cyclonic storms, PHAILIN and HUDHUD in 2013 and 2014, respectively. Various meteorological parameters that clearly explain the favorable situation for the occurrence of cyclonic storm are investigated and analyzed. The study emphasizes on selection of the potential predictor variables using stepwise regression method to analyze the efficiency of model. Regression analysis yields a predicted value resulting from a linear combination of the predictors. For the regression model, the predictor set consists of sea level pressure (SLP) and wind speed parameters. Different types of the regression methods have been used in the study and compared to find the efficient regression model for cyclone genesis prediction. The threshold-based anomaly detection algorithm is proposed for the potential predictors obtained using stepwise regression which is capable of successfully identifying the situation that led to the very severe cyclonic storm.

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Authors and Affiliations

  1. Department of Computer Applications, National Institute of Technology, Raipur, India

    Rika Sharma & Kesari Verma

  2. Department of Biomedical Engineering, National Institute of Technology, Raipur, India

    Bikesh Kumar Singh

Authors
  1. Rika Sharma
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  2. Kesari Verma
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  3. Bikesh Kumar Singh
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Corresponding author

Correspondence to Kesari Verma .

Editor information

Editors and Affiliations

  1. Smart Grid and Renewable Energy, University of Agder, Kristiansand, Norway

    Mohan L. Kolhe

  2. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Munesh C. Trivedi

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Department of Computer Science, Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India

    Vikash Kumar Singh

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Sharma, R., Verma, K., Singh, B.K. (2019). Regression-Based Approach to Analyze Tropical Cyclone Genesis. In: Kolhe, M., Trivedi, M., Tiwari, S., Singh, V. (eds) Advances in Data and Information Sciences . Lecture Notes in Networks and Systems, vol 39. Springer, Singapore. https://doi.org/10.1007/978-981-13-0277-0_7

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  • DOI: https://doi.org/10.1007/978-981-13-0277-0_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0276-3

  • Online ISBN: 978-981-13-0277-0

  • eBook Packages: EngineeringEngineering (R0)

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