CDIP observations of recent extreme wave conditions on U.S. coasts
Author:
Behrens James1, Timmerman Ross1, Terrill Eric1, Merrifield Sophia1, Jensen Robert2
Affiliation:
1. Scripps Institution of Oceanography 2. US Army Corps of Engineers
Abstract
The Coastal Data Information Program (CDIP) maintains wave gauge stations for continuous coverage, with precision instruments and dedicated telemetry and dissemination infrastructure. Decades of this persistent, quality-controlled wave monitoring effort has provided the data required to generate metrics for wave climate at coastal locations across the United States and identify and characterize extreme wave events. During the extremely active 2020 North Atlantic hurricane season, the CDIP East Coast array recorded significantly elevated wave conditions generated by no fewer than 15 named storms. In California, meanwhile, long-term monitoring stations have measured new all-time maximum wave heights during recent storm events. Complete quality-controlled directional spectra and displacement data sets, as well as sea surface temperature and surface current data from the wave buoys, are publicly available at http://cdip.ucsd.edu.
Publisher
American Shore and Beach Preservation Association
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference11 articles.
1. Behrens, J., Terrill E., and J. Thomas, 2018. “CDIP wave observations during hurricanes Irma, Jose, and Maria, and a nor’easter.” Shore & Beach, 86(3), 14-20. 2. Behrens, J., Thomas, J., Terrill, E., and R. Jensen, 2019. “CDIP: Maintaining a robust and reliable ocean observing buoy network.” 2019 IEEE/OES Twelfth Current, Waves and Turbulence Measurement (CWTM), San Diego, CA, USA, 2019, 1-5, doi: 10.1109/CWTM43797.2019.8955166. 3. Behrens, J., Cameron, G., Wright, D., Terrill, E., and R.E. Jensen, 2020. “Integrating cloud services for real-time wave buoy array monitoring and data management.” Poster presented at the Ocean Sciences Conference, February 2020, San Diego, CA (poster OD24A-3426). 4. Desouky, M., and O. Abdelkhalik, 2019. “Wave prediction using wave rider position measurements and NARX network in wave energy conversion.” Applied Ocean Research, 82, 10-21. 5. Erikson, L.H., Espejo, A., Barnard, P.L., Serafin, K.A., Hegermiller, C.A., O'Neill, A., Ruggiero, P., Limber, P.W., and F.J. Mendez, 2018. “Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change.” Coastal Engineering, 140, 316-330.
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