What is it about?
This study evaluates the accuracy of three different wind reanalysis datasets for wave modeling in the Gulf of Mexico and the Western Caribbean. It focuses on predicting both mean wave conditions and extreme events, comparing the performance of the reanalysis data during cyclonic events and synoptic events.
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Why is it important?
This research addresses the need for accurate wave modeling in tropical regions by assessing the suitability of different wind reanalysis datasets. It provides insights into the limitations and strengths of the datasets for predicting wave conditions, including extreme events. This information is crucial for various applied ocean studies and coastal management purposes.
Perspectives
As the leading author, I initiated this study to fill the gap in understanding how wind reanalysis performs in modeling extreme events like Nortes, beyond tropical cyclones. The findings highlight the importance of selecting appropriate wind reanalysis data for improved wave modeling accuracy.
Christian Appendini
Universidad Nacional Autonoma de Mexico
Read the Original
This page is a summary of: Wave modeling performance in the Gulf of Mexico and Western Caribbean: Wind reanalyses assessment, Applied Ocean Research, January 2013, Elsevier,
DOI: 10.1016/j.apor.2012.09.004.
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Contributors
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