Digital Elevation Model, 0.5 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2012

• Main Authors: Wilson, Cathy, Gangodagamage, Chandana, Rowland, Joel
• Language: unknown
• Published: 2022
• Subjects: 54 Environmental Sciences; Arctic; Barrow Peninsula; Salt Lagoon; Barrow; Nome; north slope; permafrost; Seward Peninsula; Tundra; Alaska
• Online Access: http://www.osti.gov/servlets/purl/1109234; https://www.osti.gov/biblio/1109234; https://doi.org/10.5440/1109234

This 0.5m horizontal resolution digital elevation model (DEM) was developed from Airborne Laser Altimetry flown by Aerometric Inc, now know as Quantum Spatial, Inc. on August 12, 2012. One Mission was flown and the data jointly processed with Los Alamos National Laboratory (LANL) personnel to produce a 0.5m DEM covering a region approximately 2.8km wide and 12.5km long extending from the coast above North Salt Lagoon to south of Gas Well Road. This DEM encompasses a diverse range of hyrdrologic, geomorphic, geophysical and biological features typical of the Barrow Peninsula. Vertical accuracy at the 95% confidence interval was computed as 0.145m. The coordinate system, datum, and geoid for this DEM are UTM Zone 4N, NAD83 (2011), NAVD88 (GEOID09). 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).