Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases

The performance of NCEP/NCAR I, NCEP/DOE II, JRA-25 and ERA-Interim global databases, implemented as atmospheric forcings of the SWAN model in the Río de la Plata region, was quantitatively tested by calculating the bias, the mean square root error, the determination coefficient and the slope of the...

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Autores principales: Martin, P., Dragani, W., Cerne, B., Alonso, G., Pescio, A., Prario, B.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_16798759_v60_n4_p501_Martin
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spelling todo:paper_16798759_v60_n4_p501_Martin2023-10-03T16:29:45Z Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases Martin, P. Dragani, W. Cerne, B. Alonso, G. Pescio, A. Prario, B. ERA-interim JRA-25 reanalysis NCEP/DOE reanalysis II NCEP/NCAR reanalysis I Río de la Plata SWAN model The performance of NCEP/NCAR I, NCEP/DOE II, JRA-25 and ERA-Interim global databases, implemented as atmospheric forcings of the SWAN model in the Río de la Plata region, was quantitatively tested by calculating the bias, the mean square root error, the determination coefficient and the slope of the line fitted between observed and simulated wave parameters (significant wave height, mean period and direction). Even though statistical estimators showed no evident differences for wave periods and directions some noticeable differences were observed for simulated significant wave heights depending on the forcing used. The lowest bias (0.22 m) was obtained when the SWAN model was forced by ERA-Interim. With regard to the mean square root errors, the lowest values were obtained when NCEP/NCAR I (0.16 m) and NCEP/DOE II (0.19 m) were used as forcing. In addition, the best slope for simulated heights (0.79) was obtained using NCEP/DOE II. Computed determination coefficients for heights, periods and directions were very similar (0.89-0.93) for all the simulations carried out in this study. Energetic and severe wave events were given special consideration. The most energetic wave episode recorded in the Río de la Plata mouth (24 August, 2005) was analyzed and discussed in particular. It was concluded that during energetic atmospheric conditions the best agreement is achieved by implementing NCEP/DOE II as forcing. In the light of these results it is concluded that NCEP/DOE II is the most suitable atmospheric forcing to simulate wave heights with the SWAN model in the Río de la Plata region. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_16798759_v60_n4_p501_Martin
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic ERA-interim
JRA-25 reanalysis
NCEP/DOE reanalysis II
NCEP/NCAR reanalysis I
Río de la Plata
SWAN model
spellingShingle ERA-interim
JRA-25 reanalysis
NCEP/DOE reanalysis II
NCEP/NCAR reanalysis I
Río de la Plata
SWAN model
Martin, P.
Dragani, W.
Cerne, B.
Alonso, G.
Pescio, A.
Prario, B.
Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases
topic_facet ERA-interim
JRA-25 reanalysis
NCEP/DOE reanalysis II
NCEP/NCAR reanalysis I
Río de la Plata
SWAN model
description The performance of NCEP/NCAR I, NCEP/DOE II, JRA-25 and ERA-Interim global databases, implemented as atmospheric forcings of the SWAN model in the Río de la Plata region, was quantitatively tested by calculating the bias, the mean square root error, the determination coefficient and the slope of the line fitted between observed and simulated wave parameters (significant wave height, mean period and direction). Even though statistical estimators showed no evident differences for wave periods and directions some noticeable differences were observed for simulated significant wave heights depending on the forcing used. The lowest bias (0.22 m) was obtained when the SWAN model was forced by ERA-Interim. With regard to the mean square root errors, the lowest values were obtained when NCEP/NCAR I (0.16 m) and NCEP/DOE II (0.19 m) were used as forcing. In addition, the best slope for simulated heights (0.79) was obtained using NCEP/DOE II. Computed determination coefficients for heights, periods and directions were very similar (0.89-0.93) for all the simulations carried out in this study. Energetic and severe wave events were given special consideration. The most energetic wave episode recorded in the Río de la Plata mouth (24 August, 2005) was analyzed and discussed in particular. It was concluded that during energetic atmospheric conditions the best agreement is achieved by implementing NCEP/DOE II as forcing. In the light of these results it is concluded that NCEP/DOE II is the most suitable atmospheric forcing to simulate wave heights with the SWAN model in the Río de la Plata region.
format JOUR
author Martin, P.
Dragani, W.
Cerne, B.
Alonso, G.
Pescio, A.
Prario, B.
author_facet Martin, P.
Dragani, W.
Cerne, B.
Alonso, G.
Pescio, A.
Prario, B.
author_sort Martin, P.
title Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases
title_short Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases
title_full Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases
title_fullStr Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases
title_full_unstemmed Numerical simulation of wind waves on the Río de la Plata: Evaluation of four global atmospheric databases
title_sort numerical simulation of wind waves on the río de la plata: evaluation of four global atmospheric databases
url http://hdl.handle.net/20.500.12110/paper_16798759_v60_n4_p501_Martin
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AT draganiw numericalsimulationofwindwavesontheriodelaplataevaluationoffourglobalatmosphericdatabases
AT cerneb numericalsimulationofwindwavesontheriodelaplataevaluationoffourglobalatmosphericdatabases
AT alonsog numericalsimulationofwindwavesontheriodelaplataevaluationoffourglobalatmosphericdatabases
AT pescioa numericalsimulationofwindwavesontheriodelaplataevaluationoffourglobalatmosphericdatabases
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