Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters

Yang, Zhaoqing; García Medina, Gabriel; Neary, Vincent S.; Ahn, Seongho; Kilcher, Levi; Bharath, Aidan

doi:10.1016/j.renene.2023.03.100

Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters

Journal Article · Fri Mar 24 00:00:00 EDT 2023 · Renewable Energy

DOI:https://doi.org/10.1016/j.renene.2023.03.100· OSTI ID:1988414

^[1]; ^[2]; Neary, Vincent S. ^[3]; Ahn, Seongho ^[3]; Kilcher, Levi ^[4]; Bharath, Aidan ^[4]

Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); University of Washington, Seattle, WA (United States)
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sandia National Laboratory (SNL-NM), Albuquerque, NM (United States)
National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Long-term, high-resolution, regional wave hindcast datasets were generated using unstructured-grid Simulating WAves Nearshore (SWAN) models for the U.S. coastal waters to support nearshore wave energy development in the U.S. including those bordering U.S. territorial islands. The model domains resolved the entire U.S. exclusive economic zones, with a spatial resolution of approximately 200 m nearshore. The regional SWAN models were driven by the global WAVEWATCH III® model outputs and run for a 42-year period from 1979 to 2020. Extensive model validations were performed using buoy observations and altimeter data. Regional resource characterization was performed based on hindcast data points at 2 km from shore and along the 100 m isobath. Aggregations of wave resource parameters were produced, and spatial and seasonal variations were analyzed for all the regions. Wave resource metrics recommended by international standards, including a 3-hour time series of six resource parameters, hourly frequency- and directionally resolved wave spectra at selected “virtual buoy” locations, and average-annual values of omni-directional wave power, significant wave height, and energy period are publicly disseminated through an Amazon Web Service and a Marine Energy Atlas web application tool to facilitate wave energy research and a wide range of coastal ocean applications.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office

Grant/Contract Number:: AC05-76RL01830; AC36-08GO28308; NA0003525

OSTI ID:: 1988414

Alternate ID(s):: OSTI ID: 1986069

Report Number(s):: PNNL-SA-180871

Journal Information:: Renewable Energy, Journal Name: Renewable Energy Vol. 212; ISSN 0960-1481

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (57)

Assessment of wave energy resources and their associated uncertainties for two coastal areas in Japan Sasmal, Kaushik; Waseda, Takuji; Webb, Adrean Journal of Marine Science and Technology, Vol. 26, Issue 3 https://doi.org/10.1007/s00773-020-00781-y	journal	November 2020
Forty years wind wave power assessment in the high-energy region of Persian Gulf Salimi, F.; Ershadi, C.; Chegini, V. International Journal of Environmental Science and Technology, Vol. 19, Issue 4 https://doi.org/10.1007/s13762-021-03389-w	journal	May 2021
Directional statistics of the wind and waves Bowers, J. A.; Morton, I. D.; Mould, G. I. Applied Ocean Research, Vol. 22, Issue 1 https://doi.org/10.1016/S0141-1187(99)00025-5	journal	February 2000
Inter-annual and inter-seasonal variability of the Orkney wave power resource Neill, Simon P.; Lewis, Matt J.; Hashemi, M. Reza Applied Energy, Vol. 132 https://doi.org/10.1016/j.apenergy.2014.07.023	journal	November 2014
A global wave power resource and its seasonal, interannual and long-term variability Reguero, B. G.; Losada, I. J.; Méndez, F. J. Applied Energy, Vol. 148 https://doi.org/10.1016/j.apenergy.2015.03.114	journal	June 2015
Computation of wind-wave spectra in coastal waters with SWAN on unstructured grids Zijlema, M. Coastal Engineering, Vol. 57, Issue 3 https://doi.org/10.1016/j.coastaleng.2009.10.011	journal	March 2010
Assessment of the intra-annual and inter-annual variability of the wave energy resource in the Bay of Biscay (France) Sierra, Joan Pau; White, Adam; Mösso, Cesar Energy, Vol. 141 https://doi.org/10.1016/j.energy.2017.09.112	journal	December 2017
A time-split nonhydrostatic atmospheric model for weather research and forecasting applications Skamarock, William C.; Klemp, Joseph B. Journal of Computational Physics, Vol. 227, Issue 7 https://doi.org/10.1016/j.jcp.2007.01.037	journal	March 2008
Long-term wind and wave energy resource assessment in the South China sea based on 30-year hindcast data Wang, Zhifeng; Duan, Chenglin; Dong, Sheng Ocean Engineering, Vol. 163 https://doi.org/10.1016/j.oceaneng.2018.05.070	journal	September 2018
Non-stationary historical trends in wave energy climate for coastal waters of the United States Ahn, Seongho; Neary, Vincent S. Ocean Engineering, Vol. 216 https://doi.org/10.1016/j.oceaneng.2020.108044	journal	November 2020
Validation of a thirty year wave hindcast using the Climate Forecast System Reanalysis winds Chawla, Arun; Spindler, Deanna M.; Tolman, Hendrik L. Ocean Modelling, Vol. 70 https://doi.org/10.1016/j.ocemod.2012.07.005	journal	October 2013
Intercomparison of wind and wave data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis Stopa, Justin E.; Cheung, Kwok Fai Ocean Modelling, Vol. 75 https://doi.org/10.1016/j.ocemod.2013.12.006	journal	March 2014
Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis Li, Ning; Cheung, Kwok Fai; Stopa, Justin E. Ocean Modelling, Vol. 100 https://doi.org/10.1016/j.ocemod.2016.02.001	journal	April 2016
National-scale wave energy resource assessment for Australia Hughes, Michael G.; Heap, Andrew D. Renewable Energy, Vol. 35, Issue 8 https://doi.org/10.1016/j.renene.2009.11.001	journal	August 2010
Atlas of global wave energy from 10 years of reanalysis and hindcast data Arinaga, Randi A.; Cheung, Kwok Fai Renewable Energy, Vol. 39, Issue 1 https://doi.org/10.1016/j.renene.2011.06.039	journal	March 2012
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters Mendes, R. P. G.; Calado, M. R. A.; Mariano, S. J. P. S. Renewable Energy, Vol. 47 https://doi.org/10.1016/j.renene.2012.04.009	journal	November 2012
Wave energy resource assessment in the Mediterranean, the Italian perspective Liberti, Luca; Carillo, Adriana; Sannino, Gianmaria Renewable Energy, Vol. 50 https://doi.org/10.1016/j.renene.2012.08.023	journal	February 2013
Wave energy conditions in the western French coast Gonçalves, Marta; Martinho, Paulo; Guedes Soares, C. Renewable Energy, Vol. 62 https://doi.org/10.1016/j.renene.2013.06.028	journal	February 2014
Wave resource assessment in Oregon and southwest Washington, USA García-Medina, Gabriel; Özkan-Haller, H. Tuba; Ruggiero, Peter Renewable Energy, Vol. 64 https://doi.org/10.1016/j.renene.2013.11.014	journal	April 2014
22-Year wave energy hindcast for the China East Adjacent Seas Liang, Bingchen; Fan, Fei; Liu, Fushun Renewable Energy, Vol. 71 https://doi.org/10.1016/j.renene.2014.05.027	journal	November 2014
Wave energy resource assessment for the Indian shelf seas Sanil Kumar, V.; Anoop, T. R. Renewable Energy, Vol. 76 https://doi.org/10.1016/j.renene.2014.11.034	journal	April 2015
Wave energy assessment in Sicily (Italy) Monteforte, M.; Lo Re, C.; Ferreri, G. B. Renewable Energy, Vol. 78 https://doi.org/10.1016/j.renene.2015.01.006	journal	June 2015
A revised assessment of Australia's national wave energy resource Hemer, Mark A.; Zieger, Stefan; Durrant, Tom Renewable Energy, Vol. 114 https://doi.org/10.1016/j.renene.2016.08.039	journal	December 2017
The wave and tidal resource of Scotland Neill, Simon P.; Vögler, Arne; Goward-Brown, Alice J. Renewable Energy, Vol. 114 https://doi.org/10.1016/j.renene.2017.03.027	journal	December 2017
Wave energy distribution along the Portuguese continental coast based on a thirty three years hindcast Silva, Dina; Martinho, Paulo; Guedes Soares, C. Renewable Energy, Vol. 127 https://doi.org/10.1016/j.renene.2018.05.037	journal	November 2018
Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast Allahdadi, M. Nabi; Gunawan, Budi; Lai, Jonathan Renewable Energy, Vol. 136 https://doi.org/10.1016/j.renene.2019.01.020	journal	June 2019
The wave and wind power potential in the western Black Sea Rusu, Liliana Renewable Energy, Vol. 139 https://doi.org/10.1016/j.renene.2019.03.017	journal	August 2019
Development and validation of a high-resolution regional wave hindcast model for U.S. West Coast wave resource characterization Wu, Wei-Cheng; Wang, Taiping; Yang, Zhaoqing Renewable Energy, Vol. 152 https://doi.org/10.1016/j.renene.2020.01.077	journal	June 2020
A high-resolution, long-term wave resource assessment of Japan with wave–current effects Webb, A.; Waseda, T.; Kiyomatsu, K. Renewable Energy, Vol. 161 https://doi.org/10.1016/j.renene.2020.05.030	journal	December 2020
Wave resource characterization at regional and nearshore scales for the U.S. Alaska coast based on a 32-year high-resolution hindcast García-Medina, Gabriel; Yang, Zhaoqing; Wu, Wei-Cheng Renewable Energy, Vol. 170 https://doi.org/10.1016/j.renene.2021.02.005	journal	June 2021
Nearshore wave energy resource characterization along the East Coast of the United States Ahn, Seongho; Neary, Vincent S.; Allahdadi, Mohammad Nabi Renewable Energy, Vol. 172 https://doi.org/10.1016/j.renene.2021.03.037	journal	July 2021
Wave energy resources assessment for the multi-modal sea state of Hawaii Li, Ning; García-Medina, Gabriel; Cheung, Kwok Fai Renewable Energy, Vol. 174 https://doi.org/10.1016/j.renene.2021.03.116	journal	August 2021
Wave climate and energy resources in American Samoa from a 42-year high-resolution hindcast García Medina, Gabriel; Yang, Zhaoqing; Li, Ning Renewable Energy, Vol. 210 https://doi.org/10.1016/j.renene.2023.03.031	journal	July 2023
Wave climate and energy resources in the Mariana Islands from a 42-year high-resolution hindcast Li, Ning; García Medina, Gabriel; Yang, Zhaoqing Renewable Energy https://doi.org/10.1016/j.renene.2023.05.093	journal	May 2023
An overview of medium- to long-term predictions of global wave energy resources Zheng, Chong Wei; Wang, Qing; Li, Chong Yin Renewable and Sustainable Energy Reviews, Vol. 79 https://doi.org/10.1016/j.rser.2017.05.109	journal	November 2017
Global wave energy resource classification system for regional energy planning and project development Ahn, Seongho; Neary, Vincent S.; Haas, Kevin A. Renewable and Sustainable Energy Reviews, Vol. 162 https://doi.org/10.1016/j.rser.2022.112438	journal	July 2022
A third-generation wave model for coastal regions: 2. Verification Ris, R. C.; Holthuijsen, L. H.; Booij, N. Journal of Geophysical Research: Oceans, Vol. 104, Issue C4 https://doi.org/10.1029/1998JC900123	journal	April 1999
Simulation of Wave‐Current Interactions Under Hurricane Conditions Using an Unstructured‐Grid Model: Impacts on Ocean Waves Sun, Yujuan; Perrie, William; Toulany, Bechara Journal of Geophysical Research: Oceans, Vol. 123, Issue 5 https://doi.org/10.1029/2017JC012939	journal	May 2018
Wave-current interaction near the Gulf Stream during the Surface Wave Dynamics Experiment Wang, David W.; Liu, Antony K.; Peng, Chih Y. Journal of Geophysical Research, Vol. 99, Issue C3 https://doi.org/10.1029/93JC02714	journal	January 1994
A third-generation wave model for coastal regions: 1. Model description and validation Booij, N.; Ris, R. C.; Holthuijsen, L. H. Journal of Geophysical Research: Oceans, Vol. 104, Issue C4 https://doi.org/10.1029/98JC02622	journal	April 1999
Wind wave prediction in shallow water: Theory and applications Cavaleri, Luigi; Rizzoli, Paola Malanotte Journal of Geophysical Research, Vol. 86, Issue C11 https://doi.org/10.1029/JC086iC11p10961	journal	January 1981
Renewable Electricity Futures for the United States Mai, Trieu; Hand, M. Maureen; Baldwin, Samuel F. IEEE Transactions on Sustainable Energy, Vol. 5, Issue 2 https://doi.org/10.1109/TSTE.2013.2290472	journal	April 2014
Interdecadal Variations in Northern Hemisphere Winter Storm Track Intensity Chang, Edmund K. M.; Fu, Yunfei Journal of Climate, Vol. 15, Issue 6 https://doi.org/10.1175/1520-0442(2002)015<0642:IVINHW>2.0.CO;2	journal	March 2002
On the Existence of a Fully Developed Wind-Sea Spectrum Komen, G. J.; Hasselmann, K.; Hasselmann, K. Journal of Physical Oceanography, Vol. 14, Issue 8 https://doi.org/10.1175/1520-0485(1984)014<1271:OTEOAF>2.0.CO;2	journal	August 1984
Computations and Parameterizations of the Nonlinear Energy Transfer in a Gravity-Wave Specturm. Part II: Parameterizations of the Nonlinear Energy Transfer for Application in Wave Models Hasselmann, S.; Hasselmann, K.; Allender, J. H. Journal of Physical Oceanography, Vol. 15, Issue 11 https://doi.org/10.1175/1520-0485(1985)015<1378:CAPOTN>2.0.CO;2	journal	November 1985
A Third-Generation Model for Wind Waves on Slowly Varying, Unsteady, and Inhomogeneous Depths and Currents Tolman, Hendrik L. Journal of Physical Oceanography, Vol. 21, Issue 6 https://doi.org/10.1175/1520-0485(1991)021<0782:ATGMFW>2.0.CO;2	journal	June 1991
Quasi-linear Theory of Wind-Wave Generation Applied to Wave Forecasting Janssen, Peter A. E. M. Journal of Physical Oceanography, Vol. 21, Issue 11 https://doi.org/10.1175/1520-0485(1991)021<1631:QLTOWW>2.0.CO;2	journal	November 1991
Joint Calibration of Multiplatform Altimeter Measurements of Wind Speed and Wave Height over the Past 20 Years Zieger, S.; Vinoth, J.; Young, I. R. Journal of Atmospheric and Oceanic Technology, Vol. 26, Issue 12 https://doi.org/10.1175/2009JTECHA1303.1	journal	December 2009
Pacific Hindcast Performance of Three Numerical Wave Models Hanson, Jeffrey L.; Tracy, Barbara A.; Tolman, Hendrik L. Journal of Atmospheric and Oceanic Technology, Vol. 26, Issue 8 https://doi.org/10.1175/2009JTECHO650.1	journal	August 2009
The NCEP Climate Forecast System Reanalysis Saha, Suranjana; Moorthi, Shrinivas; Pan, Hua-Lu Bulletin of the American Meteorological Society, Vol. 91, Issue 8 https://doi.org/10.1175/2010BAMS3001.1	journal	August 2010
The NCEP Climate Forecast System Version 2 Saha, Suranjana; Moorthi, Shrinivas; Wu, Xingren Journal of Climate, Vol. 27, Issue 6 https://doi.org/10.1175/JCLI-D-12-00823.1	journal	March 2014
Wave–Current Interaction between Hurricane Matthew Wave Fields and the Gulf Stream Hegermiller, Christie A.; Warner, John C.; Olabarrieta, Maitane Journal of Physical Oceanography, Vol. 49, Issue 11 https://doi.org/10.1175/JPO-D-19-0124.1	journal	November 2019
Evaluation of Wave-Ice Parameterization Models in WAVEWATCH III® Along the Coastal Area of the Sea of Okhotsk During Winter Iwasaki, Shinsuke; Otsuka, Junichi Frontiers in Marine Science, Vol. 8 https://doi.org/10.3389/fmars.2021.713784	journal	August 2021
Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements Rusu, Liliana; Rusu, Eugen Energies, Vol. 14, Issue 2 https://doi.org/10.3390/en14020394	journal	January 2021
Modeling Sea Ice Effects for Wave Energy Resource Assessments Branch, Ruth; García-Medina, Gabriel; Yang, Zhaoqing Energies, Vol. 14, Issue 12 https://doi.org/10.3390/en14123482	journal	June 2021
A Tidal Hydrodynamic Model for Cook Inlet, Alaska, to Support Tidal Energy Resource Characterization Wang, Taiping; Yang, Zhaoqing Journal of Marine Science and Engineering, Vol. 8, Issue 4 https://doi.org/10.3390/jmse8040254	journal	April 2020
The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast Nederhoff, Kees; Erikson, Li; Engelstad, Anita The Cryosphere, Vol. 16, Issue 5 https://doi.org/10.5194/tc-16-1609-2022	journal	May 2022

Similar Records

Multi-Decade High-Resolution Regional Hindcasts for Wave Energy Resource Characterization in U.S. Coastal Waters

Journal Article · Fri Mar 24 00:00:00 EDT 2023 · Renewable Energy · OSTI ID:1986069

High-Resolution Regional Wave Hindcast for Hawaii

Technical Report · Fri Nov 01 00:00:00 EDT 2019 · OSTI ID:1572913

High-Resolution Regional Wave Hindcast for the U.S. Alaska Coast

Technical Report · Thu Dec 05 23:00:00 EST 2019 · OSTI ID:1579259

Related Subjects

16 TIDAL AND WAVE POWER
long-term simulations
nearshore
wave energy
resource characterization
high-resolution
SWAN
WAVEWATCH III
wave modeling

Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters

Citation Formats

References (57)

Similar Records

Related Subjects