Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal

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Year : 2025 | Volume : 16 | Issue : 01 | Page : 1-9
    By

    M. Kalyani,

  • K. Ramesh,

  • B. Kesava Kumar,

  • P. Murugesh,

  • K. Jossia Joseph,

  • M. Arul Muthiah,

  1. Scientist-E, OOS Group, National Institute of Ocean Technology,Chennai, Tamil Nadu, India.
  2. Scientific Officer II, OOS Group, National Institute of Ocean Technology,Chennai, Tamil Nadu, India.
  3. Scientist-E, OOS Group, National Institute of Ocean Technology,Chennai, Tamil Nadu, India.
  4. Scientist-E, OOS Group, National Institute of Ocean Technology,Chennai, Tamil Nadu, India.
  5. Scientist-F, OOS Group, National Institute of Ocean Technology,Chennai, Tamil Nadu, India.
  6. Scientist-F, OOS Group, National Institute of Ocean Technology,Chennai, Tamil Nadu, India

Abstract

The rapid decline in the energy resources forced mankind to tap other forms of natural energy resources in the light of exponential increase in the demand due to over-population. The energy from ocean waves is one of the cleanest sources of energy available perennially that changes seasonally and is site-specific. To assess the wave power potential at any site, knowledge of the wave parameters such as wave height, period and direction are necessary. In-situ moored buoy measurements are confined to only few strategic locations, whereas, satellite derived wave parameters are subjected to the satellite pass, periodicity and suffer representation errors and boundary effects. Hence, numerical models are necessary which provide gridded data globally. The model improvement is accorded by calibration, validation, data assimilation of observations as ground-truth. In the present study, two of the European Centre for Medium-Range Weather Forecasts (ECMWF) global reanalysis (satellite data assimilated) products viz., ERA-Interim and ERA5 are taken into consideration to assess their performance against the moored buoy measurements at a deepwater location (83.27°E / 13.99°N) on the Northwest Bay of Bengal during 2005 utilizing a year-long measurements covering pre-monsoon, monsoon and post-monsoon seasons. This location is under the influence local forcing as wind waves and remote forcing in the form of swells coming from the Southern Indian Ocean, monsoon as well as cyclones. Various aspects that governed the effectiveness of ERA5 over ERA-Interim for improving the model prediction are discussed. The site-specific regional constants in the form of Wave Parameter Ratios between the Moored buoy observations and ECMWF models (ERA5 & ERA-Interim) are derived for each month accounting for the seasonal variation. The improved estimates with satellite data assimilation aid in the design criteria of wave energy converters, improved forecast skill during high intensity cyclones which are on the verge of increase due to climate change impacts.  

Keywords: Moored buoy, ERA-Interim, ERA5, significant wave height, peak period, wave parameter ratio

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
M. Kalyani, K. Ramesh, B. Kesava Kumar, P. Murugesh, K. Jossia Joseph, M. Arul Muthiah. Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal. Journal of Remote Sensing & GIS. 2024; 16(01):1-9.
How to cite this URL:
M. Kalyani, K. Ramesh, B. Kesava Kumar, P. Murugesh, K. Jossia Joseph, M. Arul Muthiah. Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal. Journal of Remote Sensing & GIS. 2024; 16(01):1-9. Available from: https://journals.stmjournals.com/jorsg/article=2024/view=188775



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Regular Issue Subscription Original Research
Volume 16
Issue 01
Received 05/12/2024
Accepted 09/12/2024
Published 11/12/2024
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