Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2013

Wilson, Cathy; Altmann, Garrett

doi:10.5440/1224720

Title: Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2013

Abstract

This 0.25m horizontal resolution digital elevation model (DEM) was developed from Airborne Laser Altimetry flown by Aerometric Inc, now known as Quantum Spatial, Inc. on July 12, 2013. One Mission was flown and the data jointly processed with LANL personnel to produce a 0.25m DEM covering a region approximately 2.8km wide and 12.4km long extending from the coast above North Salt Lagoon to south of Gas Well Road. This DEM encompasses a diverse range of hydrologic, geomorphic, geophysical and biological features typical of the Barrow Peninsula. Vertical accuracy at the 95% confidence interval was computed as 0.143m. The coordinate system, datum, and geoid for this DEM are UTM Zone 4N, NAD83 (2011), NAVD88 (GEOID09). Dataset DOI: https://doi.org/10.5440/1224720The 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 discontinuousmore »« less

Authors:

; Altmann, Garrett

Publication Date:: Tue Jan 03 00:00:00 EST 2017

Other Number(s):: NGA017
ngee_19826DA7585AB04DD038839A4825D1BB2015_11_20_175618972

DOE Contract Number:: DE-AC05-00OR22725

Research Org.:: Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); NGEE Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: ORNL

Subject:: 54 Environmental Sciences

Keywords:: DIGITAL ELEVATION/TERRAIN MODEL (DEM); TERRAIN ELEVATION; Topography; Land Surface; LIDAR; Laser backscatter; Elevation; Utqiagvik, Alaska; North Slope, Alaska; Area B; DTLB-1; Intensive site 1; Alaska; Barrow, Alaska; Arctic Coastal Plain; Barrow Environmental Observatory (BEO); Area D; Area A; Intensive site 0; Area C; DTLB-2

OSTI Identifier:: 1224720

DOI:: https://doi.org/10.5440/1224720

Citation Formats


                    Wilson, Cathy, and Altmann, Garrett. Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2013.  United States: N. p., 2017. 
        Web.  doi:10.5440/1224720.

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                    Wilson, Cathy, & Altmann, Garrett. Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2013.  United States.  doi:https://doi.org/10.5440/1224720

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                    Wilson, Cathy, and Altmann, Garrett. 2017.  
"Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2013".  United States.  doi:https://doi.org/10.5440/1224720.  https://www.osti.gov/servlets/purl/1224720. Pub date:Tue Jan 03 00:00:00 EST 2017

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@article{osti_1224720,

  title        = {Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2013},

  author       = {Wilson, Cathy and Altmann, Garrett},

  abstractNote = {This 0.25m horizontal resolution digital elevation model (DEM) was developed from Airborne Laser Altimetry flown by Aerometric Inc, now known as Quantum Spatial, Inc. on July 12, 2013. One Mission was flown and the data jointly processed with LANL personnel to produce a 0.25m DEM covering a region approximately 2.8km wide and 12.4km long extending from the coast above North Salt Lagoon to south of Gas Well Road. This DEM encompasses a diverse range of hydrologic, geomorphic, geophysical and biological features typical of the Barrow Peninsula. Vertical accuracy at the 95% confidence interval was computed as 0.143m. The coordinate system, datum, and geoid for this DEM are UTM Zone 4N, NAD83 (2011), NAVD88 (GEOID09). Dataset DOI: https://doi.org/10.5440/1224720The 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          = {10.5440/1224720},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jan 03 00:00:00 EST 2017},

  month        = {Tue Jan 03 00:00:00 EST 2017}

}

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DOI: https://doi.org/10.5440/1224720

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Works referencing / citing this record:

Understanding spatial variability of methane fluxes in Arctic wetlands through footprint modelling
journal, December 2019

Reuss-Schmidt, Kassandra; Levy, Peter; Oechel, Walter
Environmental Research Letters, Vol. 14, Issue 12
https://doi.org/10.1088/1748-9326/ab4d32

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Title: Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2013

Abstract

Citation Formats

Understanding spatial variability of methane fluxes in Arctic wetlands through footprint modelling journal, December 2019

Understanding spatial variability of methane fluxes in Arctic wetlands through footprint modelling
journal, December 2019