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Typological representation of the offshore oceanographic environment along the Alaskan North Slope

Journal Article · · Continental Shelf Research
 [1];  [2];  [3];  [4];  [1];  [2];  [5];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Integral Consulting Inc., Santa Cruz, CA (United States)
  3. US Geological Survey (USGS), Pacific Coastal and Marine Science Center, Santa Cruz, CA (United States)
  4. Deltares USA, Silver Spring, MD (United States)
  5. Univ. of Alaska, Fairbanks, AK (United States)
Erosion and flooding impacts to Arctic coastal environments are intensifying with nearshore oceanographic conditions acting as a key environmental driver. Robust and comprehensive assessment of the nearshore oceanographic conditions require knowledge of the following boundary conditions: incident wave energy, water level, incident wind energy, ocean temperature and salinity, bathymetry, and shoreline orientation. The number of offshore oceanographic boundary conditions can be large, requiring a significant computational investment to reproduce nearshore conditions. This present study develops location-independent typologies to reduce the number of boundary conditions needed to assess nearshore oceanographic environments in both a Historical (2007–2019) and Future (2020–2040) timespan along the Alaskan North Slope. We used WAVEWATCH III® and Delft3D Flexible Mesh model output from six oceanographic sites located along a constant ~50 m bathymetric line spanning the Chukchi to Beaufort Seas. K-means clustering was applied to the energy-weighted joint-probability distribution of significant wave height (Hs) and peak period (Tp). Distributions of wave and wind direction, wind speed, and water level associated with location-independent centroids were assigned single values to describe a reduced order, typological rendition of offshore oceanographic conditions. Reanalysis data (e.g., ASRv2, ERA5, and GOFS) grounded the historical simulations while projected conditions were obtained from downscaled GFDL-CM3 forced under RCP8.5 conditions. Location-dependence for each site is established through the occurrence joint-probability distribution in the form of unique scaling factors representing the fraction of time that the typology would occupy over a representative year. As anticipated, these typologies show increasingly energetic ocean conditions in the future. They also enable computationally efficient simulation of the nearshore oceanographic environment along the North Slope of Alaska for better characterization of coastal processes (e.g., erosion, flooding, or sediment transport).
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USGS Coastal Marine Geology Program; US Bureau of Ocean Energy Management; National Science Foundation (NSF); USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA0003525
OSTI ID:
1877167
Alternate ID(s):
OSTI ID: 1875000
Report Number(s):
SAND2022-9580J; 708243
Journal Information:
Continental Shelf Research, Journal Name: Continental Shelf Research Vol. 244; ISSN 0278-4343
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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