%0 Journal Article %1 Appendini201320 %A Appendini, C.M. %A Torres-Freyermuth, A. %A Oropeza, F. %A Salles, P. %A López, J. %A Mendoza, E.T. %D 2013 %J Applied Ocean Research %K 2013 GulfOfMexico WaveHindcast WaveModeling WindReanalysis from:erick007 %P 20-30 %R 10.1016/j.apor.2012.09.004 %T Wave modeling performance in the Gulf of Mexico and Western Caribbean: Wind reanalyses assessment %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867747418&doi=10.1016%2fj.apor.2012.09.004&partnerID=40&md5=0b13c7f2092a07f109b51e7baac21c8f %V 39 %X This paper evaluates the wave modeling performance in the Gulf of Mexico and Western Caribbean Sea employing three different wind reanalysis data. Wind reanalysis is employed as the main forcing in wave generation/propagation numerical models. While the National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) and the European Centre for Medium-Range Weather Forecasts (ECMWFs) ERA-40 reanalyses have been previously assessed in the performance for wave modeling, ECMWF's ERA-interim and in particular NCEP's North American Regional Reanalysis (NARR) are more recent reanalyses. They both provide better resolution and description of the wind fields and have not been evaluated for long-term wave modeling. Therefore, the aim of this work is the assessment of the three different wind reanalyses on the wave hindcast performance. Attention is drawn on the wind reanalysis capability for predicting both mean and extreme wave conditions during two different periods: (i) an anomalous year where cyclonic events dominate the extreme wave climate in the region (2005); and (ii) a year with the wave climate dominated by synoptic events (2006). A third generation wave model, forced by the different wind reanalysis data, is calibrated with National Data Buoy Center (NDBC) buoys observations. Wind reanalysis data allow a consistent implementation of third generation wave models in order to predict the mean wave climate (correlation coefficient ∼0.84 for NCEP/NCAR, 0.94 for ERA-interim, 0.92 for NARR) for applied ocean studies. Numerical results revealed that both ERA-interim and NARR improve the wave modeling performance with respect to NCEP/NCAR (for extreme and non-extreme conditions), whereas the high- (spatial and temporal) resolution NARR data are more suitable for modeling extreme cyclonic events (i.e., hurricanes) in this region. © 2012 Elsevier Ltd.

@article{Appendini201320, abbrev_source_title = {Appl. Ocean Res.}, abstract = {This paper evaluates the wave modeling performance in the Gulf of Mexico and Western Caribbean Sea employing three different wind reanalysis data. Wind reanalysis is employed as the main forcing in wave generation/propagation numerical models. While the National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) and the European Centre for Medium-Range Weather Forecasts (ECMWFs) ERA-40 reanalyses have been previously assessed in the performance for wave modeling, ECMWF's ERA-interim and in particular NCEP's North American Regional Reanalysis (NARR) are more recent reanalyses. They both provide better resolution and description of the wind fields and have not been evaluated for long-term wave modeling. Therefore, the aim of this work is the assessment of the three different wind reanalyses on the wave hindcast performance. Attention is drawn on the wind reanalysis capability for predicting both mean and extreme wave conditions during two different periods: (i) an anomalous year where cyclonic events dominate the extreme wave climate in the region (2005); and (ii) a year with the wave climate dominated by synoptic events (2006). A third generation wave model, forced by the different wind reanalysis data, is calibrated with National Data Buoy Center (NDBC) buoys observations. Wind reanalysis data allow a consistent implementation of third generation wave models in order to predict the mean wave climate (correlation coefficient ∼0.84 for NCEP/NCAR, 0.94 for ERA-interim, 0.92 for NARR) for applied ocean studies. Numerical results revealed that both ERA-interim and NARR improve the wave modeling performance with respect to NCEP/NCAR (for extreme and non-extreme conditions), whereas the high- (spatial and temporal) resolution NARR data are more suitable for modeling extreme cyclonic events (i.e., hurricanes) in this region. © 2012 Elsevier Ltd.}, added-at = {2021-06-02T05:50:44.000+0200}, affiliation = {Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Puerto de Abrigo s/n, 92718 Sisal, Mexico; Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, Cd. Universitaria, 04360 MEX City, Mexico}, author = {Appendini, C.M. and Torres-Freyermuth, A. and Oropeza, F. and Salles, P. and López, J. and Mendoza, E.T.}, author_keywords = {Gulf of Mexico; Wave hindcast; Wave modeling; Wind reanalysis}, biburl = {https://www.bibsonomy.org/bibtex/20a60af3a263e9c68bfb16bf69590ea46/publ_del_lipc}, coden = {AOCRD}, correspondence_address1 = {Appendini, C.M.; Laboratorio de Ingeniería y Procesos Costeros, Puerto de Abrigo s/n, 92718 Sisal, Mexico; email: CAppendiniA@iingen.unam.mx}, document_type = {Article}, doi = {10.1016/j.apor.2012.09.004}, funding_details = {project-106400}, funding_text 1 = {The present study was supported by CONACYT-FOMIX-YUC project-106400 and project 1361 from the Instituto de Ingeniería – UNAM. NCEP and NARR Reanalyses data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, at http://www.esrl.noaa.gov/psd/ ; and ERA-interim Reanalysis data provided by the ECMWF at http://data-portal.ecmwf.int/data/d/interim_full_daily . The authors would also like to thank DHI Water & Environment for facilitating a University License of MIKE 21 SW and the two anonymous reviewers who greatly contributed to the improvement of this manuscript.}, interhash = {24d2257306cc9c824f9a74c373f4fac8}, intrahash = {0a60af3a263e9c68bfb16bf69590ea46}, issn = {01411187}, journal = {Applied Ocean Research}, keywords = {2013 GulfOfMexico WaveHindcast WaveModeling WindReanalysis from:erick007}, language = {English}, pages = {20-30}, source = {Scopus}, timestamp = {2021-06-23T06:32:41.000+0200}, title = {Wave modeling performance in the Gulf of Mexico and Western Caribbean: Wind reanalyses assessment}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867747418&doi=10.1016%2fj.apor.2012.09.004&partnerID=40&md5=0b13c7f2092a07f109b51e7baac21c8f}, volume = 39, year = 2013 }