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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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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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 |
work_keys_str_mv |
AT rmahmoodi windwavenumericalmodelinginthecaspiansea AT aaardalan windwavenumericalmodelinginthecaspiansea AT mhasanlou windwavenumericalmodelinginthecaspiansea |
_version_ |
1725287374608400384 |