CO2 and CH4 Surface Flux, Soil Profile Concentrations, and Stable Isotope Composition, Utqiagvik (Barrow), Alaska, 2012-2013

• Main Authors: Vaughn, Lydia, Conrad, Mark, Torn, Margaret, Bill, Markus, Curtis, Bryan, Chafe, Oriana
• Language: unknown
• Published: 2023
• Subjects: 54 Environmental Sciences; Arctic; Barrow; Nome; north slope; permafrost; Seward Peninsula; Tundra; Alaska
• Online Access: http://www.osti.gov/servlets/purl/1227684; https://www.osti.gov/biblio/1227684; https://doi.org/10.5440/1227684

In August-October 2012 and June-October 2013, co-located measurements were made of surface CH4 and CO2 flux, soil pore space concentrations and stable isotope compositions of CH4 and CO2, and subsurface temperature and soil moisture. Measurements were made in intensive study site 1 areas A, B, and C, and from the site 0 and AB transects, from high-centered, flat-centered, and low-centered polygons, from the center, edge, and trough of each polygon. This dataset includes one pdf file and four csv 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).