WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA

Numerical simulation results of wind wave in the Caspian Sea by using wind forcing data are presented. The numerical modeling which is applied in this study is based on numerical spectral wave model which is based on Navier-Stokes equations. It solves these equations through each of mesh elements. M...

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Main Authors: R. Mahmoodi, A. A. Ardalan, M. Hasanlou
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/513/2017/isprs-archives-XLII-4-W4-513-2017.pdf
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spelling doaj-97894cbfa4e847d1901a630cb97b76322020-11-25T00:41:04ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-4-W451351610.5194/isprs-archives-XLII-4-W4-513-2017WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEAR. Mahmoodi0A. A. Ardalan1M. Hasanlou2School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, IranSchool of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, IranSchool of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, IranNumerical simulation results of wind wave in the Caspian Sea by using wind forcing data are presented. The numerical modeling which is applied in this study is based on numerical spectral wave model which is based on Navier-Stokes equations. It solves these equations through each of mesh elements. Moreover, in this model high-resolution unstructured grid for the Caspian Sea has been used in order to reach finer accuracy. The wind forcing data are given from European Centre for Medium-Range Weather Forecasts (ECMWF). The measurement data, which are gained from Ports and Marine Organisation (PMO) of Iran, are used in order to estimate the accuracy of the model. The results have shown better accuracy in comparison with PMO simulation. Mean of the coefficient of determination (R-squared) for significant wave height in this simulation is 0.8059, though, in PMO simulation this coefficient is reported 0.7056. Better accuracy requires more measurement data and also finer resolution of bathymetry data.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/513/2017/isprs-archives-XLII-4-W4-513-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author R. Mahmoodi
A. A. Ardalan
M. Hasanlou
spellingShingle R. Mahmoodi
A. A. Ardalan
M. Hasanlou
WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet R. Mahmoodi
A. A. Ardalan
M. Hasanlou
author_sort R. Mahmoodi
title WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA
title_short WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA
title_full WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA
title_fullStr WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA
title_full_unstemmed WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA
title_sort wind wave numerical modeling in the caspian sea
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-09-01
description Numerical simulation results of wind wave in the Caspian Sea by using wind forcing data are presented. The numerical modeling which is applied in this study is based on numerical spectral wave model which is based on Navier-Stokes equations. It solves these equations through each of mesh elements. Moreover, in this model high-resolution unstructured grid for the Caspian Sea has been used in order to reach finer accuracy. The wind forcing data are given from European Centre for Medium-Range Weather Forecasts (ECMWF). The measurement data, which are gained from Ports and Marine Organisation (PMO) of Iran, are used in order to estimate the accuracy of the model. The results have shown better accuracy in comparison with PMO simulation. Mean of the coefficient of determination (R-squared) for significant wave height in this simulation is 0.8059, though, in PMO simulation this coefficient is reported 0.7056. Better accuracy requires more measurement data and also finer resolution of bathymetry data.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/513/2017/isprs-archives-XLII-4-W4-513-2017.pdf
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AT aaardalan windwavenumericalmodelinginthecaspiansea
AT mhasanlou windwavenumericalmodelinginthecaspiansea
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