Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques

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Authors
Galanis, George
Kallos, George
Dodson, C.T.J.
Chu, Peter C.
Kuo, Yu-Heng
Subjects
Numerical wave prediction models, Distribution of significant wave height, Radar altimetry, Information geometry, Fisher information metric
Advisors
Date of Issue
2012
Date
2012
Publisher
Language
Abstract
The main characteristics of the significant wave height in an area of increased interest, the north Atlantic ocean, are studied based on satellite records and corresponding simulations obtained from the numerical wave prediction model WAM. The two data sets are analyzed by means of a variety of statistical measures mainly focusing on the distributions that they form. Moreover, new techniques for the estimation and minimization of the discrepancies between the observed and modeled values are proposed based on ideas and methodologies from a relatively new branch of mathematics, information geometry. The results obtained prove that the modeled values overestimate the corresponding observations through the whole study period. On the other hand, 2-parameter Weibull distributions fit well the data in the study. However, one cannot use the same probability density function for describing the whole study area since the corresponding scale and shape parameters deviate significantly for points belonging to different regions. This variation should be taken into account in optimization or assimilation procedures, which is possible by means of information geometry techniques.
Type
Article
Description
Stochastic Environmental Research and Risk Assessment
The article of record as published may be located at http://dx.doi.org/10.1007/s00477-011-0540-2
Series/Report No
Department
Oceanography
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Citation
Galanis, G., P.C. Chu, G. Kallos, Y-H Kuo, and C.T.J. Dodson, 2012: Wave Height Characteristics in the North Atlantic Ocean - A new approach based on Statistical and Geometrical techniques. Stochastic Environmental Research and Risk Assessment, 26, 83-103 (paper download).
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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