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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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 |
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Open Polar |
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Naval Postgraduate School: Calhoun |
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ftnavalpschool |
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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. |
_version_ |
1801379685063458816 |