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

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 The main characteristics of the significant wave height in an area of increased interest, the north Atlantic ocean, are studied based on satellite re...

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Main Authors: Galanis, George, Kallos, George, Dodson, C.T.J., Chu, Peter C., Kuo, Yu-Heng
Other Authors: Oceanography
Format: Article in Journal/Newspaper
Language:unknown
Published: 2012
Subjects:
Online Access:https://hdl.handle.net/10945/36202
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spelling ftnavalpschool:oai:calhoun.nps.edu:10945/36202 2024-06-09T07:48:06+00:00 Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques Galanis, George Kallos, George Dodson, C.T.J. Chu, Peter C. Kuo, Yu-Heng Oceanography 2012 application/pdf https://hdl.handle.net/10945/36202 unknown 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). https://hdl.handle.net/10945/36202 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. Numerical wave prediction models Distribution of significant wave height Radar altimetry Information geometry Fisher information metric Article 2012 ftnavalpschool 2024-05-15T01:01:22Z 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 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. Article in Journal/Newspaper North Atlantic Naval Postgraduate School: Calhoun
institution Open Polar
collection Naval Postgraduate School: Calhoun
op_collection_id ftnavalpschool
language unknown
topic Numerical wave prediction models
Distribution of significant wave height
Radar altimetry
Information geometry
Fisher information metric
spellingShingle Numerical wave prediction models
Distribution of significant wave height
Radar altimetry
Information geometry
Fisher information metric
Galanis, George
Kallos, George
Dodson, C.T.J.
Chu, Peter C.
Kuo, Yu-Heng
Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques
topic_facet Numerical wave prediction models
Distribution of significant wave height
Radar altimetry
Information geometry
Fisher information metric
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 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.
author2 Oceanography
format Article in Journal/Newspaper
author Galanis, George
Kallos, George
Dodson, C.T.J.
Chu, Peter C.
Kuo, Yu-Heng
author_facet Galanis, George
Kallos, George
Dodson, C.T.J.
Chu, Peter C.
Kuo, Yu-Heng
author_sort Galanis, George
title Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques
title_short Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques
title_full Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques
title_fullStr Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques
title_full_unstemmed Wave Height Characteristics in the North Atlantic Ocean: A new approach based on Statistical and Geometrical techniques
title_sort wave height characteristics in the north atlantic ocean: a new approach based on statistical and geometrical techniques
publishDate 2012
url https://hdl.handle.net/10945/36202
genre North Atlantic
genre_facet North Atlantic
op_relation 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).
https://hdl.handle.net/10945/36202
op_rights 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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