Topography, surface water distribution and subsurface structure in 2023 across an Arctic coastal tundra site near Utqiagvik, Alaska

Dafflon, Baptiste; Ulrich, Craig; Lamb, Jack; Bachman, Jonathan

doi:10.15485/2564382

Title: Topography, surface water distribution and subsurface structure in 2023 across an Arctic coastal tundra site near Utqiagvik, Alaska

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Abstract

Subsurface electrical resistivity tomography (ERT), active layer thickness measurements, photogrammetry, and topographic data were collected in September 2023 along a 475 m long, 20 m wide corridor that traverses various polygon types within the Barrow Environmental Observatory (BEO) on the Alaskan Arctic Coastal Plain, approximately 4 miles from the Beaufort Sea near Utqiaġvik, Alaska. These measurements were designed to assess decadal changes in surface water distribution, topography, and subsurface structure across this dynamic landscape. This archive contains the datasets acquired in 2023 and references to the datasets acquired previously at the same location. The ERT survey was conducted along the 475 m transect using 0.5 m electrode spacing and a roll-along acquisition strategy. Thaw layer thicknesses were measured with a tile probe along the same transect. Photogrammetry data were acquired using an unoccupied aerial vehicle (UAV) and were used to generate a digital elevation model and an RGB mosaic. A real-time kinematic (RTK) GPS was used to survey the ERT electrodes and the ground control points for the aerial imagery. The dataset contains 5 *.csv data files, 6 *.csv metadata files, and 6 *.tif files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earthmore »« less

Authors:

; Ulrich, Craig; Lamb, Jack; Bachman, Jonathan

Lawrence Berkeley National Laboratory

Publication Date:: Wed Jan 01 04:00:00 UTC 2025

Other Number(s):: NGA568

DOE Contract Number:: AC02-05CH11231

Research Org.:: Next-Generation Ecosystem Experiments (NGEE) Arctic

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA > ARCTIC TUNDRA; EARTH SCIENCE > CRYOSPHERE > FROZEN GROUND; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE > LAND SURFACE > SOILS > ELECTRICAL CONDUCTIVITY; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL SALINITY/SOIL SODICITY; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL STRUCTURE; EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format

OSTI Identifier:: 2564382

DOI:: https://doi.org/10.15485/2564382

Citation Formats


                    Dafflon, Baptiste, Ulrich, Craig, Lamb, Jack, and Bachman, Jonathan. Topography, surface water distribution and subsurface structure in 2023 across an Arctic coastal tundra site near Utqiagvik, Alaska.  United States: N. p., 2025. 
        Web.  doi:10.15485/2564382.

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                    Dafflon, Baptiste, Ulrich, Craig, Lamb, Jack, & Bachman, Jonathan. Topography, surface water distribution and subsurface structure in 2023 across an Arctic coastal tundra site near Utqiagvik, Alaska.  United States.  doi:https://doi.org/10.15485/2564382

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                    Dafflon, Baptiste, Ulrich, Craig, Lamb, Jack, and Bachman, Jonathan. 2025.  
"Topography, surface water distribution and subsurface structure in 2023 across an Arctic coastal tundra site near Utqiagvik, Alaska".  United States.  doi:https://doi.org/10.15485/2564382.  https://www.osti.gov/servlets/purl/2564382. Pub date:Wed Jan 01 04:00:00 UTC 2025

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@article{osti_2564382,

  title        = {Topography, surface water distribution and subsurface structure in 2023 across an Arctic coastal tundra site near Utqiagvik, Alaska},

  author       = {Dafflon, Baptiste and Ulrich, Craig and Lamb, Jack and Bachman, Jonathan},

  abstractNote = {Subsurface electrical resistivity tomography (ERT), active layer thickness measurements, photogrammetry, and topographic data were collected in September 2023 along a 475 m long, 20 m wide corridor that traverses various polygon types within the Barrow Environmental Observatory (BEO) on the Alaskan Arctic Coastal Plain, approximately 4 miles from the Beaufort Sea near Utqiaġvik, Alaska. These measurements were designed to assess decadal changes in surface water distribution, topography, and subsurface structure across this dynamic landscape. This archive contains the datasets acquired in 2023 and references to the datasets acquired previously at the same location. The ERT survey was conducted along the 475 m transect using 0.5 m electrode spacing and a roll-along acquisition strategy. Thaw layer thicknesses were measured with a tile probe along the same transect. Photogrammetry data were acquired using an unoccupied aerial vehicle (UAV) and were used to generate a digital elevation model and an RGB mosaic. A real-time kinematic (RTK) GPS was used to survey the ERT electrodes and the ground control points for the aerial imagery. The dataset contains 5 *.csv data files, 6 *.csv metadata files, and 6 *.tif files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},

  doi          = {10.15485/2564382},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jan 01 04:00:00 UTC 2025},

  month        = {Wed Jan 01 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.15485/2564382

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