Surface and Active Layer Pore Water Chemistry from Ice Wedge Polygons, Utqiagvik (Barrow), Alaska, 2013-2014

• Main Authors: Herndon, Elizabeth, Yang, Ziming, Graham, David, Wullschleger, Stan, Gu, Baohua, Liang, Liyuan
• Language: unknown
• Published: 2023
• Subjects: 54 Environmental Sciences; Arctic; Barrow; Ice; Nome; north slope; permafrost; Seward Peninsula; Tundra; wedge*; Alaska
• Online Access: http://www.osti.gov/servlets/purl/1226245; https://www.osti.gov/biblio/1226245; https://doi.org/10.5440/1226245

This data set reports the results of spatial surveys of aqueous geochemistry conducted at Intensive Site 1 of the Barrow Environmental Observatory in 2013 and 2014 (Herndon et al., 2015). Surface water and soil pore water samples were collected from multiple depths within the tundra active layer of different microtopographic features (troughs, ridges, center) of a low-centered polygon (Area A), high-centered polygon (Area B), flat-centered polygon (Area C), and transitional polygon (Area D). Reported analytes include dissolved organic and inorganic carbon, dissolved carbon dioxide and methane, major inorganic anions, and major and minor cations. This dataset contains one csv file and one pdf file. 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).