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Joint analysis of the wind and wave-field variability in the Indian Ocean area for 1998–2009

Authors
  • Pogarskii, F.1
  • Polnikov, V.1
  • Sannasiraj, S. A.2
  • 1 Russian Academy of Sciences, Obukhov Institute of Atmospheric Physics, Moscow, Russia , Moscow (Russia)
  • 2 Indian Institute of Technology of Madras, Chennai, India , Chennai (India)
Type
Published Article
Journal
Izvestiya, Atmospheric and Oceanic Physics
Publisher
SP MAIK Nauka/Interperiodica
Publication Date
Nov 01, 2012
Volume
48
Issue
6
Pages
639–656
Identifiers
DOI: 10.1134/S0001433812060114
Source
Springer Nature
Keywords
License
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Abstract

In this paper, a detailed statistical analysis of the wind and wave fields in the Indian Ocean (IO) for the period of 1998-2009 was performed based on using the wind fields taken from the site of the National Centers for Environmental Prediction and the National Oceanic and Atmospheric Administration (NCEP/NOAA) [1] and on the numerical wind-wave model WAM [2] modified with the source function proposed in [3]. The primary analysis of the fields includes mapping the wind and wave fields, as well as their energy fields, calculated with different scales of space-time averaging; the subsequent zoning of the IO area; and assessing the seasonal interannual variability of all the fields and their 12-years trends. Further analysis is carried out taking into account the zoning. This analysis includes a construction of the time series obtained with different scales of space-time averaging for all the fields, a spectral analysis of these series, finding and analyzing the spatial and temporal distribution of extrema of the wind and wave fields (accounting for the their sharing in the zones), and making histograms of the wind and wave fields and calculating their first four statistical moments (in the zones and in the ocean as a whole). The results allow us to evaluate a large set of statistical characteristics of the wind and wave fields in the IO area, scales of their variability, their long-term trends, and the features of distribution for these statistical characteristics in the ocean area as well.

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