Oceanographic Conditions. 2007 - 2040. North Slope Alaska.

Dataset · Tue Jul 05 04:00:00 EDT 2022

DOI:https://doi.org/10.15485/1876201· OSTI ID:1876201

Eymold, William ^[1]; Flanary, Christopher ^[2]; Erikson, Li ^[3]; Nederhoff, Kees ^[4]; Chartrand, Christopher ^[5]; Jones, Craig ^[2]; Kasper, Jeremy ^[6]; Bull, Diana ^[5]

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1. Sandia National Laboratories; Sandia National Laboratories - New Mexico
2. Integral Consulting Inc
3. US Geological Survey (USGS), Pacific Coastal and Marine Science Center
4. Deltares
5. Sandia National Laboratories - New Mexico
6. University of Alaska Fairbanks

Complete representations of oceanographic conditions require spatial and temporal information about the significant wave height (Hs), peak wave period (Tp), wind speed, wind direction, wave direction, water level, salinity, and temperature. This data 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. Wave information for both time spans were generated from WaveWatch III, Delft3D-FLOW, and Delft3D-WAVE simulations forced by wind conditions from reanalysis data (e.g., ASRv2 and ERA5) for the historical simulations while projected conditions were obtained from downscaled GFDL-CM3 forced under RCP8.5 conditions. Salinity was generated from GOFS 3.1 for the years between 2008-2015 and skin temperature of the ocean was obtained from ASRv2 reanalysis data for the years between 2007-2016. To identify generalized oceanographic typologies, K-means clustering was applied to the energy-weighted joint-probability distribution of Hs and Tp at six sites along the North Slope of Alaska. Distributions of wave and wind direction, wind speed, and water level associated with locaiton-indepndent centroids were assigned single values to describe a reduced order, typological rendition of offshore oceanographic conditions. These final typologies and their constituent data are provided here and can be used to evaluate the change in ocean energy over the next two decades in response to climate change and provide insight into expected consequences such as coastal erosion and flooding. A full assessment of the findings and techniques developed can be found in: Eymold, W.K., Flanary, C., Erikson, L., Nederhoff, K., Chartrand, C.C., Jones, C., Kasper, J., and Bull, D.L. Typological Representation of the Offshore Oceanographic Environment along the Alaskan North Slope. Continental Shelf Research (2022). 10.1016/j.csr.2022.104795

• Research Organization: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Interdisciplinary Research for Arctic Coastal Environments (InteRFACE)
• Sponsoring Organization: U.S. DOE > Office of Science > Biological and Environmental Research (BER); U.S. DOE > Laboratory Directed Research and Development (LDRD) > Sandia National Laboratories; US Bureau of Ocean Energy Management
• OSTI ID: 1876201
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION
EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE
EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE
EARTH SCIENCE > OCEANS > OCEAN WAVES
EARTH SCIENCE > OCEANS > OCEAN WAVES > SEA STATE
EARTH SCIENCE > OCEANS > OCEAN WINDS > SURFACE WINDS
EARTH SCIENCE > OCEANS > SALINITY/DENSITY
earth science > oceans > ocean salinity