Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29228
Title: An assessment of the wind re-analyses in the modelling of an extreme sea state in the Black Sea
Authors: Ponce de Leon, Sonia
Uludağ Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü.
0000-0002-9042-6851
Akpınar, Adem
ABE-8817-2020
AAC-6763-2019
23026855400
Keywords: Geochemistry & geophysics
Meteorology & atmospheric sciences
Oceanography
Wind waves
SWAN
Satellite altimetry data
Calibration
Satellite altimetry data
Extreme sea states
Wave model
Numerical-models
Performance
Calibration
Forecasting
Geodetic satellites
Satellites
Weather forecasting
Wind
Black sea
Sea state
Wind wave
Climate modeling
Climate prediction
Ensemble forecasting
Satellite data
Satellite imagery
Weather forecasting
Ocean currents
Issue Date: Mar-2016
Publisher: Elsevier
Citation: Akpınar, A. ve Ponce de Leon, S. (2016). "An assessment of the wind re-analyses in the modelling of an extreme sea state in the Black Sea". Dynamics of Atmospheres and Oceans, 73, 61-75.
Abstract: This study aims at an assessment of wind re-analyses for modelling storms in the Black Sea. A wind-wave modelling system (Simulating WAve Nearshore, SWAN) is applied to the Black Sea basin and calibrated with buoy data for three recent re-analysis wind sources, namely the European Centre for Medium-Range Weather Forecasts Reanalysis-Interim (ERA-Interim), Climate Forecast System Reanalysis (CFSR), and Modern Era Retrospective Analysis for Research and Applications (MERRA) during an extreme wave condition that occurred in the north eastern part of the Black Sea. The SWAN model simulations are carried out for default and tuning settings for deep water source terms, especially whitecapping. Performances of the best model configurations based on calibration with buoy data are discussed using data from the JASON2, TOPEX-Poseidon, ENVISAT and GFO satellites. The SWAN model calibration shows that the best configuration is obtained with Janssen and Komen formulations with whitecapping coefficient (C-ds) equal to 1.8e-5 for wave generation by wind and whitecapping dissipation using ERA-Interim. In addition, from the collocated SWAN results against the satellite records, the best configuration is determined to be the SWAN using the CFSR winds. Numerical results, thus show that the accuracy of a wave forecast will depend on the quality of the wind field and the ability of the SWAN model to simulate the waves under extreme wind conditions in fetch limited wave conditions.
URI: https://doi.org/10.1016/j.dynatmoce.2015.12.002
https://www.sciencedirect.com/science/article/pii/S0377026515300129
http://hdl.handle.net/11452/29228
ISSN: 0377-0265
1872-6879
Appears in Collections:Scopus
Web of Science

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