Anita Engelstad Li H. Erikson Ann E. Gibbs Kees Nederhoff 20241127 2.0 various data release DOI: 10.5066/P931CSO9 Pacific Coastal and Marine Science Center, Santa Cruz, California U.S. Geological Survey https://doi.org/10.5066/P931CSO9 Anita Engelstad Li H. Erikson Borja G. Reguero Ann E. Gibbs Kees Nederhoff 2024 data release DOI: 10.5066/P931CSO9 Pacific Coastal and Marine Science Center, Santa Cruz, California U.S. Geological Survey Suggested Citation: Engelstad, A.C., Erikson, L.H., Reguero, B.G., Gibbs, A.E., Nederhoff, K.M., 2024, Nearshore wave time-series along the coast of Alaska computed with a numerical wave model (ver. 2.0, November 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P931CSO9. https://doi.org/10.5066/P931CSO9 Provided here are the required input files to run a standalone wave model (Simulating Waves Nearshore [SWAN]; Booij and others, 1999) on eleven model domains from the Canada-U.S. border to Norton Sound, Alaska. The model runs create a downscaled wave database (DWDB) which, can be used to reconstruct hindcast, historical, or projected time series at each point in the model domains (see Engelstad and others, 2023 for further information on reconstruction of time-series). The model forcing files consist of reduced sets of binned wind and wave parameter combinations, hereafter termed ‘sea states’. The use of representative sea states allows for lower computational costs and follows modified methods outlined in for example Camus and others, 2011, Reguero and others, 2013, and Lucero and others, 2017. Wind and wave parameters were extracted from the ERA5 reanalysis (Hersbach and others, 2020; https://cds.climate.copernicus.eu/) for the hindcast period (1979–2019) and for the historical (1979-2014) and projected (2020-2050) time periods from WAVEWATCHIII wave model runs (Erikson and others, 2022) driven by winds and sea ice fields from the 6th generation Coupled Model Inter-comparison Projects (CMIP6 Haarsma and others, 2016 The extent of each model domain can be inferred from the browse graphic. Model input files are described in the Entity and Attribute Overview section. The purpose of this data release is to provide researchers, engineers, and other potential users with model input files that can be used to run the SWAN wave model along the coast of Alaska from the Canada-U.S. border to Norton Sound. These data are not intended to be used for navigation. This work is part of the wave modeling efforts for Alaska and conterminous United States coasts and Territories that support the USGS Coastal Storm Modeling System (CoSMoS). For more information on CoSMoS, see https://www.usgs.gov/centers/pcmsc/science/coastal-storm-modeling-system-cosmos. Funding for this work was provided by the USGS Coastal Marine and Hazards Program (CMHRP). Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. 2020 2022 years in which the data were created Complete None planned -168.500 -139.990 71.4788 62.1813 USGS Metadata Identifier USGS:1e4993d4-d421-470c-8abf-f46c9ef3f519 Global Change Master Directory (GCMD) Hazards Planning Ocean Waves ISO 19115 Topic Category geoscientificInformation oceans environment USGS Thesaurus coastal processes Ocean Waves Climate Change Mathematical modeling Effects of climate change Earth sciences Mathematical modeling Marine Realms Information Bank (MRIB) keywords numerical modeling waves coastal processes Data Categories for Marine Planning Distributions Predictions None U.S. Geological Survey USGS Coastal and Marine Hazards and Resources Program CMHRP Pacific Coastal and Marine Science Center PCMSC Geographic Names Information System (GNIS) Chukchi Sea State of Alaska Bering Strait Norton Sound Beaufort Sea No access constraints USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator(s) of the dataset and in products derived from these data. U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator Mailing and Physical

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Santa Cruz CA 95060 831-427-4747 pcmsc_data@usgs.gov WaveModel_Domains.jpg Wave model domains – extend and naming jpg Data were generated with the Delft3D modeling suite developed by Deltares and MATLAB on Personal Desktop Computers (PC) equipped with the Windows 10 operating system. Nico Booij Roeland Ris Leo Holthuijsen 1999 Booij, N., Ris, R. C., and Holthuijsen, L. H., 1999, A third-generation wave model for coastal regions. I- Model description and validation: Journal of Geophysical Research, v. 104, p. 7649–7666. https://doi.org/10.1029/98jc02622 Paula Camus Fernando J. Méndez Raúl Medina 2011 Camus, P., Mendez, F., Medina, R., 2011, A hybrid efficient method to downscale wave climate to coastal areas: Coastal Engineering, v. 58, p 851-862. https://doi.org/10.1016/j.coastaleng.2011.05.007 Coastal Frontiers Corporation 2014 Coastal Frontiers Corporation, 2014, Suspended sediment dispersal during the Liberty Development construction: Report prepared for BP Exploration, Anchorage, AK, 60 pp. Anita C. Engelstad Li H. Erikson Borja G. Reguero Ann E. Gibbs Kees Nederhoff 2024 Engelstad, A.C., Erikson, L.H., Reguero, B.G., Gibbs, A.E., and Nederhoff, K., 2024, Database and time series of nearshore waves along the Alaskan coast from the United States-Canada border to the Bering Sea: U.S. Geological Survey Open-File Report 2023–1094, 23 p., https://doi.org/10.3133/ofr20231094. https://doi.org/10.3133/ofr20231094 eTrac Inc. 2018 eTrac Inc., 2018, Summary Report prepared for U.S. Army Corps of Engineers (USACE), 464169 – Barrow Coastal Erosion Singlebeam Hydrographic Survey, Alaska district R.J. Haarsma M.J. Roberts P.L. Vidale C.A. Senior A. Bellucci Q. Bao P. Chang S. Corti N.S. Fučkar V. Guemas J. von Hardenberg W. Hazeleger C. Kodama T. Koenigk L.R. Leung J. Lu J.-J. Luo J. Mao M. S. Mizielinski R. Mizuta P. Nobre M. Satoh E. Scoccimarro T. Semmler J. Small J.-S. von Storch 2016 Haarsma, R.J., Roberts, M.J., Vidale, P.L., Senior, C.A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N.S., Guemas, V., von Hardenberg, J., Hazeleger, W., Kodama, C., Koenigk, T., Leung, L.R., Lu, J., Luo, J.-J., Mao, J., Mizielinski, M.S., Mizuta, R., Nobre, P., Satoh, M., Scoccimarro, E., Semmler, T., Small, J., and von Storch, J.-S., 2016, High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6: Geoscience Model Development, v. 9, p. 4185-4208, doi:10.5194/gmd-9-4185-2016, 2016. https://doi.org/10.5194/gmd-9-4185-2016 Hans Hersbach Bill Bell Paul Berrisford Shoji Hirahara András Horányi Joaquín Muñoz-Sabater Julien Nicolas Carole Peubey Raluca Radu Dinand Schepers Adrian Simmons Cornel Soci Saleh Abdalla Xavier Abellan Gianpaolo Balsamo Peter Bechtold Gionata Biavati Jean Bidlot Massimo Bonavita Giovanna De Chiara Per Dahlgren Dick Dee Michail Diamantakis Rossana Dragani Johannes Flemming Richard Forbes Manuel Fuentes Alan Geer Leo Haimberger Sean Healy Robin J Hogan Elías Hólm Marta Janisková Sarah Keely Patrick Laloyaux Philippe Lopez Cristina Lupu Gabor Radnoti Patricia de Rosnay Iryna Rozum Freja Vamborg Sebastien Villaume Jean-Noël Thépaut 2020 Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume,S., Thépau, J.-N., 2020, The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society; v.146, no. 730, pp.1999–2049, https://doi.org/10.1002/qj.3803 https://doi.org/10.1002/qj.3803 Martin Jakobsson Larry A. Mayer Caroline Bringensparr Carlos F. Castro Rezwan Mohammad Paul Johnson Tomer Ketter Daniela Accettella David Amblas Lu An Jan Erik Arndt Miquel Canals José Luis Casamor Nolwenn Chauché Bernard Coakley Seth Danielson Maurizio Demarte Mary-Lynn Dickson Boris Dorschel Julian A. Dowdeswell Simon Dreutter Alice C. Fremand Dana Gallant John K. Hall Laura Hehemann Hanne Hodnesdal Jongkuk Hong Roberta Ivaldi Emily Kane Ingo Klaucke Diana W. Krawczyk Yngve Kristoffersen Boele R. Kuipers Romain Millan Giuseppe Masetti Mathieu Morlighem Riko Noormets Megan M. Prescott Michele Rebesco Eric Rignot Igor Semiletov Alex J. Tate Paola Travaglini Isabella Velicogna Pauline Weatherall Wilhelm Weinrebe Joshua K. Willis Michael Wood Yulia Zarayskaya Tao Zhang Mark Zimmermann Karl B. Zinglersen 2020 Jakobsson, M., Mayer, L.A., Bringensparr, C., Castro, C.F., Mohammad, R., Johnson, P., Ketter, T., Accettella, D., Amblas, D., An, L., Arndt, J.E., Canals, M., Casamor, J.L., Chauché, N., Coakley, B., Danielson, S., Demarte, M., Dickson, M.-L., Dorschel, B., Dowdeswell, J.A., Dreutter, S., Fremand, A.C., Gallant, D., Hall, J.K., Hehemann, L., Hodnesdal, H., Hong, J., Ivaldi, R., Kane, E., Klaucke, I., Krawczyk, D.W., Kristoffersen, Y., Kuipers, B.R., Millan, R., Masetti, G., Morlighem, M., Noormets, R., Prescott, M.M., Rebesco, M., Rignot, E., Semiletov, I., Tate, A.J., Travaglini, P., Velicogna, I., Weatherall, P., Weinrebe, W., Willis, J.K., Wood, M., Zarayskaya, Y., Zhang, T., Zimmermann, M., and Zinglersen, K.B., 2020, The international bathymetric chart of the Arctic Ocean (vers. 4.0): Scientific Data, v. 7, no. 1, p. 176. https://doi.org/10.1038/s41597-020-0520-9 Felipe Lucero Patricio A. Catalán Álvaro Ossandón José Beyá Andrés Puelma Luis Zamorano 2017 Lucero, F., Catalán, P.A., Ossandón, Á, Beyá, J., Puelma, A., Zamorano, L., 2017, Wave energy assessment in the central-south coast of Chile: Renewable Energy, v. 114, p. 120-131. https://doi.org/10.1016/j.renene.2017.03.076 OCM Partners 2023 OCM Partners, 2023: 2019 USACE NCMP Topobathy Lidar: Alaska, NOAA National Centers for Environmental Information. https://www.fisheries.noaa.gov/inport/item/59331 Jeremy Kasper S. Jump Paul Duvoy 2019 Kasper, J., Jump, S., and Duvoy, P., 2019, Central Beaufort Sea wave and hydrodynamic modeling study 2018 Field Report: UAF Cooperative Agreement M17AC00020/ USGS CFDA No. 15.423. Borja Reguero Fernando Méndez Iñigo Losada 2013 Reguero, B.G., Méndez, F.J., and Losada, I.J., 2013, Variability of multivariate wave climate in Latin America and the Caribbean: Global and Planetary Change, v. 100, p. 70-84. https://doi.org/10.1016/j.gloplacha.2012.09.005 Nels J. Sultan Kenton W. Braun Dempsey S. Thieman Ajay Sampath 2011 Sultan, N.J., Braun K.W., Thieman, D.S., and Sampath, A., 2011, North Slope trends in sea level, storm frequency, duration and intensity, in 9th International Conference IceTech 2010, International Conference and Exhibition on Performance of Ships and Structures in Ice, Anchorage, Alaska, September 20–23, 2010: Arctic Section of the Society of Naval Architects and Marine Engineers, paper no. ICETECH10-672 155-R0 https://doi.org/10.5957/ICETECH-2010-155 Craig E. Tweedie Stephen Escarzaga William F. Manley Gabriela Tarin Allison Gaylord 2016 Tweedie, C.E., Escarzaga, S., Manley, W.F., Tarin, W.F., Gaylord, A., 2016, Near-shore bathymetric sounding points for Elson Lagoon and Chukchi Sea, Barrow, Annual Shorelines for the Barrow Region, northern Alaska, for 2013 to 2015: Barrow Area Information Database (BAID), Digital Media http://barrowmapped.org The bathymetry for the domains was primarily based on products provided by the International Bathymetric Chart of the Arctic Ocean (IBCAO, Jakobsson and others, 2020), which have a resolution of 200 x 200 m. IBCAO is based on all available bathymetric datasets north of 64 degrees North. In the nearshore region, these are generally NOAA, National Ocean Service (NOS) hydrographic surveys which were mainly conducted between the 1940s and 1970s. Newer products for the Arctic are sparse and a high uncertainty in coastline position and water depth remains, particularly in the nearshore regions (for details, see Engelstad and others, 2023). An exception are 3 regions where newer and more accurate bathymetric data were used (see Process Step below). Bathymetry data have undergone quality checks and meet standards within the above and below mentioned limitations. Model output was reconstructed and compared to several nearshore observations. Significant wave heights (Hs) were modeled with a combined root mean square error (RMSE) of 0.18 m for these locations. Dataset is considered complete for the information presented, as described in the abstract. A qualitative accuracy assessment of the horizontal position information in the data set was conducted. Changes to the bathymetry were made in the vicinity of Cross Island offshore of Prudhoe Bay (grid 'bfrt2') where a NOS dataset (H07760 from 1950) appeared to have been horizontally misplaced and which was manually rectified. Furthermore, because of the sparsity of bathymetric data and the years in which the measurements were obtained (primarily 1940-1970), uncertainties related to water depths and shoreline position are significant. Shoreline position data from USGS topographic maps from the 1950s to 1990s at scales between 1:63,360 and 1:250,000 were used to update the bathymetry in the very nearshore region. Bathymetric points along the shoreline and extending seaward roughly 500 meters were removed and subsequently populated using an internal diffusion algorithm (Deltares, 2021, QUICKIN, at https://content.oss.deltares.nl/delft3d/manuals/QUICKIN_User_Manual.pdf) Bathymetries are concurrent with topobathymetric DEM locations. Sea level rise was considered as an increase in water levels of 2 millimeters per year (mm/yr) in the region (Sultan and others, 2011) between the year of the surveys and today (roughly 0.15 m) which was added to the bathymetry. A formal accuracy assessment of the vertical positional information in the data set has not been conducted. However, because of the sparsity of data and the years in which the observations were collected (primarily 1940-1970), uncertainties related to water depths and shoreline position are significant. These cannot be specified due to a lack of knowledge and local differences in erosion and accretion rates. IBCAO Version 4.0 Compilation Group 2020 netCDF files online British Oceanographic Data Centre, National Oceanography Centre, NERC, UK https://www.gebco.net/data_and_products/gridded_bathymetry_data/arctic_ocean/ online database 2020 publication date IBCAO gridded continuous terrain model covering land and ocean in the Arctic region Li H. Erikson Ann E. Gibbs Bruce M. Richmond Benjamin M. Jones Curt D. Storlazzi Karin Ohman 2020 geoTIFF online U.S. Geological Survey https://doi.org/10.5066/P9LGYO2Q online database 19480101 20110701 ground condition at time data were collected DEM Arey Lagoon digital elevation model around Arey Lagoon, Alaska Copernicus Climate Change Service 2017 NetCDF online Copernicus Climate Change Service Climate Data Store https://cds.climate.copernicus.eu/cdsapp#!/home online database 19790101 20191231 period for which data were obtained ERA5 wave data used to derive sea states for hindcast Li Erikson Liv Herdman Chris Flanary Anita Engelstad Prasad Pusuluri Patrick Barnard Curt Storlazzi Mike Beck Borja Reguero Kai Parker 2022 NetCDF online U.S. Geological Survey https://doi.org/10.5066/P9KR0RFM online database 20200101 20501231 period covered by model WW3 wave data used to derive sea states for historical and projected periods Enrico Scoccimarro Alessinio Bellucci Daniele Peano 2017 netCDF files online Earth System Grid Federation http://doi.org/10.22033/ESGF/CMIP6.1367 online database 19790101 20501231 period covered by model CMCC wind East-west and north-south wind components for determining sea states Aurore Voldoire 2019 netCDF files online Earth System Grid Federation http://doi.org/10.22033/ESGF/CMIP6.4225 online database 20200101 20501231 period covered by model CNRM wind East-west and north-south wind components for determining sea states EC-Earth Consortium (EC-Earth) 2018 netCDF files online Earth System Grid Federation https://doi.org/10.22033/ESGF/CMIP6.2323 online database 19790101 20501231 period covered by model EC-Earth wind East-west and north-south wind components for determining sea states Huan Guo Jasmin G. John Chris Blanton Colleen McHugh Serguei Nikonov Aparna Radhakrishnan Kristopher Rand Niki T. Zadeh V. Balaji Jeff Durachta Christopher Dupuis Raymond Menzel Thomas Robinson Seth Underwood Hans Vahlenkamp Krista A. Dunne Paul P.G. Gauthier Paul Ginoux Stephen M. Griffies Robert Hallberg Matthew Harrison William Hurlin Pu Lin Sergey Malyshev Vaishali Naik Fabien Paulot David J. Paynter Jeffrey Ploshay Daniel M. Schwarzkopf Charles J. Seman Andrew Shao Levi Silvers Bruce Wyman Xiaoqin Yan Yujin Zeng Alistair Adcroft John P. Dunne Isaac M. Held John P. Krasting Larry W. Horowitz Chris Milly Elena Shevliakova Michael Winton Ming Zhao Rong Zhang 2018 netCDF files online Earth System Grid Federation https://doi.org/10.22033/ESGF/CMIP6.9242 online database 19790101 20501231 period covered by model GFDL wind East-west and north-south wind components for determining sea states Malcolm Roberts 2018 netCDF files online Earth System Grid Federation https://doi.org/10.22033/ESGF/CMIP6.445 online database 19790101 20501231 period covered by model HadgemHH wind East-west and north-south wind components for determining sea states Malcolm Roberts 2018 netCDF files online Earth System Grid Federation https://doi.org/10.22033/ESGF/CMIP6.446 online database 19790101 20501231 period covered by model HadgemHM wind, HadgemSST wind East-west and north-south wind components for determining sea states Alexander G. Snyder Cordell D. Johnson Ann E. Gibbs Li H. Erikson 2021 comma-delimited text online U.S. Geological Survey https://doi.org/10.5066/P9238F8K online database 20190709 20190712 ground condition at time data were collected bathymetry bathymetry data at the mouth of the Unalakleet River, Alaska Obtained topobathymetric elevation data from IBCAO and generated grid bathymetries for wave simulations. For the Foggy Island Bay area (domain ‘bfrt2’), Utqiagvik (domain ‘chuk1’), Barter Island (domain ‘bfrt1’), and Norton Sound (‘bering2’), IBCAO was merged with available local bathymetry (Coastal Frontiers Corporation, 2014; Erikson and others, 2020; eTrack Inc., 2018; Kasper and others, 2019; OCM Partners, 2023; Snyder and others, 2021; Tweedie and others, 2016). Created polygons for barrier islands and assigned these as obstacles in SWAN. IBCAO DEM Arey Lagoon bathymetry 20210714 Obtained ERA5 wave and wind data and determined 2500 representative sea states (which are a combinations of significant wave height (Hs), mean wave period (Tm), mean wave direction (Dm), wind speed (windv) and wind directions (winddir)) with a multivariant maximum-dissimilarity algorithm (e.g., Camus and others, 2011, Reguero and others, 2013, and Lucero and others, 2017). ERA5 20210714 Obtained CMIP6 wave time-series from WW3 runs (Erikson and others, 2022) and wind from global climate models (CMCC, CNRM, CNRM, ECEARTH, GFDL, HadgemHH, HadgemHM, HadgemSST) and determined between 3300 and 3900 sea states (e.g., Camus and others, 2011, Reguero and others, 2013, and Lucero and others, 2017), depending on the domain length and alongshore variability of the wave conditions. More sea states were determined for CMIP6 than for ERA5 to allow the use of the CMIP6 sea states for the historical as well as the projected period. WW3 CMCC wind CNRM wind EC-Earth wind GFDL wind HadgemHH wind HadgemHM wind, HadgemSST wind 20220304 The model files included are for the SWAN model. 0.1 0.001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 approximate Mean Sea Level as determined by the Prudhoe NOAA tide station 0.01 meters Explicit elevation coordinate included with horizontal coordinates The data are packaged so that SWAN can be run for each domain either for the hindcast (ERA5) or the historical or projected (CMIP6) periods. Files are available in SWAN-specific file formats (detailed below) and are contained in a single zip file (WaveModel_GridsBathy_BeaufortChukchi.zip). The files are named by region (‘bfrt’ for the Beaufort Sea, ‘chuk’ for the Chukchi Sea, ‘bering’ for the Bering Strait), with a counterclockwise numbering. See browse graphic for the domain extents. The input files consist of the following: DOMAIN.grd: computational grid for the domain where DOMAIN can be bfrt1, bfrt2, bfrt3, chuk1, chuk2, chuk3, chuk4, chuk5, or chuk6 (see graphic for locations). The offshore extent for model domains is roughly defined by the 20 m isobath, whereas the domain length and width vary, depending on the offshore extent of each grid and local shoreline curvature. Nearshore grid size resolution is generally ≤ 200 x 200 m. In the offshore regions, cross- and along-shore grid resolution varies between 300–1000 m and 200–300 m, respectively. DOMAIN.dep: depth file (in meters) for the domain (SWAN depths are positive, the model uses -999 values for inactive cells, relative to approximate local mean sea level. DOMAIN.obt: contains the obstacle definitions and the name of the polygon file. Obstacles are used to resolve barrier islands where the grid resolution is coarse. DOMAIN.pol: polygon file (only for domains bfrt1, bfrt2, bfrt3, chuk1, chuk2, chuk4) MOD_wavecon. DOMAIN_AP_PART: wave condition file, containing the wave and wind conditions for every computational step. MOD can either be ERA5 or CMIP6, AP is either E or C (denoting ERA5 or CMIP6), and PART is the part number (ERA5 consists of 3 parts, each part containing a maximum of 999 conditions, while CMIP6 has 4 parts). The extension of the wavecon file needs to have the same naming convention as the .mdw file so that SWAN can find the file (e.g. ‘chuk6_C4.mdw’ contains the computational steps [TimePoints] 179820- 203940 for which the wave and wind conditions can be found in ‘CMIP6_wavecon.chuk6_C4’).DOMAIN_AP_PART.mdw: master definition file for the wave model. It contains the physics that are to be used, as well as the filenames for grids, depths, the obstacle option if used, timesteps, etc. For more information, see the D-Waves_User_Manual.pdf (available for download here: https://content.oss.deltares.nl/delft3d/manuals/D-Waves_User_Manual.pdf) U.S. Geological Survey U.S. Geological Survey - CMGDS mailing and physical

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Santa Cruz CA 95060 831-427-4747 pcmsc_data@usgs.gov These data are available in SWAN specific file formats and are contained in a single zip file. Unless otherwise stated, all data, metadata, and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. text files SWAN version 41.31 Zip file contains files necessary to run SWAN on 11 domains WinZip or archive utility 66.5 https://doi.org/10.5066/P931CSO9 Data can be downloaded using the Network_Resource_Name link then scrolling down to the appropriate Simulation Data section. None. These data can be viewed with any software that reads netCDF files, such as Mathworks MATLAB, Python, Panoply. 20241127 U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

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Santa Cruz CA 95060 831-427-4747 pcmsc_data@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998