A new method for modelling the space variability of significant wave height

Significant wave height, Hs, is a measure of the variability of the ocean surface and is defined to be four times the standard deviation of the height of the ocean surface. In this paper, we present a methodology for modelling estimates of Hs over space and time, using data obtained from satellite m...

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Published in:Extremes
Main Authors: Baxevani, Anastassia, Rychlik, I., Wilson, R. J.
Other Authors: Baxevani, Anastassia 0000-0002-7498-9048
Format: Article in Journal/Newspaper
Language:unknown
Published: 2005
Subjects:
Online Access:http://gnosis.library.ucy.ac.cy/handle/7/56483
https://doi.org/10.1007/s10687-006-0002-2
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spelling ftcyprusunivir:oai:gnosis.library.ucy.ac.cy:7/56483 2023-05-15T17:34:46+02:00 A new method for modelling the space variability of significant wave height Baxevani, Anastassia Rychlik, I. Wilson, R. J. Baxevani, Anastassia 0000-0002-7498-9048 2005 http://gnosis.library.ucy.ac.cy/handle/7/56483 https://doi.org/10.1007/s10687-006-0002-2 unknown 1386-1999 http://gnosis.library.ucy.ac.cy/handle/7/56483 doi:10.1007/s10687-006-0002-2 Extremes https://www.scopus.com/inward/record.uri?eid=2-s2.0-33747711341&doi=10.1007%2fs10687-006-0002-2&partnerID=40&md5=36f1c3d702922c1d89723bf591892a28 Total variation Significant wave height Gaussian random fields Random surface Satellite data Stationary info:eu-repo/semantics/article Article 2005 ftcyprusunivir https://doi.org/10.1007/s10687-006-0002-2 2021-06-05T18:45:37Z Significant wave height, Hs, is a measure of the variability of the ocean surface and is defined to be four times the standard deviation of the height of the ocean surface. In this paper, we present a methodology for modelling estimates of Hs over space and time, using data obtained from satellite measurements. These estimates can be thought of as a random surface in space which develops over time. For each fixed time and over some limited region in space, the field consisting of the Hs estimates may be considered stationary. Furthermore, it is reasonable to assume that the (natural) logarithms of the Hs estimates are normally distributed. Under these assumptions and for each fixed time, the marginal distribution over space of the random field of the logarithms of the Hs estimates is fitted by estimating its mean and covariance function, where the form of the covariance function is chosen to allow for correlation patterns at different spatial scales in the data. Both the mean and the covariance function of this model are allowed to be time dependent. A new methodology is developed for estimating the parameters of the chosen covariance structure. The proposed model is validated along the TOPEX-Poseidon satellite tracks by computing distributions of different quantities for the fitted model and comparing these to empirical estimates. Finally, the fitted model is used to compute the distribution of the global maximum over a certain region in the North Atlantic and to reconstruct the Hs field. 8 4 267 294 Cited By :17 Article in Journal/Newspaper North Atlantic University of Cyprus: Gnosis Institutional Repository Extremes 8 4 267 294
institution Open Polar
collection University of Cyprus: Gnosis Institutional Repository
op_collection_id ftcyprusunivir
language unknown
topic Total variation
Significant wave height
Gaussian random fields
Random surface
Satellite data
Stationary
spellingShingle Total variation
Significant wave height
Gaussian random fields
Random surface
Satellite data
Stationary
Baxevani, Anastassia
Rychlik, I.
Wilson, R. J.
A new method for modelling the space variability of significant wave height
topic_facet Total variation
Significant wave height
Gaussian random fields
Random surface
Satellite data
Stationary
description Significant wave height, Hs, is a measure of the variability of the ocean surface and is defined to be four times the standard deviation of the height of the ocean surface. In this paper, we present a methodology for modelling estimates of Hs over space and time, using data obtained from satellite measurements. These estimates can be thought of as a random surface in space which develops over time. For each fixed time and over some limited region in space, the field consisting of the Hs estimates may be considered stationary. Furthermore, it is reasonable to assume that the (natural) logarithms of the Hs estimates are normally distributed. Under these assumptions and for each fixed time, the marginal distribution over space of the random field of the logarithms of the Hs estimates is fitted by estimating its mean and covariance function, where the form of the covariance function is chosen to allow for correlation patterns at different spatial scales in the data. Both the mean and the covariance function of this model are allowed to be time dependent. A new methodology is developed for estimating the parameters of the chosen covariance structure. The proposed model is validated along the TOPEX-Poseidon satellite tracks by computing distributions of different quantities for the fitted model and comparing these to empirical estimates. Finally, the fitted model is used to compute the distribution of the global maximum over a certain region in the North Atlantic and to reconstruct the Hs field. 8 4 267 294 Cited By :17
author2 Baxevani, Anastassia 0000-0002-7498-9048
format Article in Journal/Newspaper
author Baxevani, Anastassia
Rychlik, I.
Wilson, R. J.
author_facet Baxevani, Anastassia
Rychlik, I.
Wilson, R. J.
author_sort Baxevani, Anastassia
title A new method for modelling the space variability of significant wave height
title_short A new method for modelling the space variability of significant wave height
title_full A new method for modelling the space variability of significant wave height
title_fullStr A new method for modelling the space variability of significant wave height
title_full_unstemmed A new method for modelling the space variability of significant wave height
title_sort new method for modelling the space variability of significant wave height
publishDate 2005
url http://gnosis.library.ucy.ac.cy/handle/7/56483
https://doi.org/10.1007/s10687-006-0002-2
genre North Atlantic
genre_facet North Atlantic
op_source Extremes
https://www.scopus.com/inward/record.uri?eid=2-s2.0-33747711341&doi=10.1007%2fs10687-006-0002-2&partnerID=40&md5=36f1c3d702922c1d89723bf591892a28
op_relation 1386-1999
http://gnosis.library.ucy.ac.cy/handle/7/56483
doi:10.1007/s10687-006-0002-2
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