NGEE Arctic Leaf Spectral Reflectance, Kougarok Road, Seward Peninsula, Alaska, 2016

• Main Authors: Serbin, Shawn, Rogers, Alistair
• Format: Dataset
• Language: English
• Published: 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) 2021
• Subjects: 54 Environmental Sciences; Reflectance_Type, White_Reference_Standard, Spectral_Resolution, Interpolation_Method, Overlap_Handling, Overlap_Removal, Overlap_Matching_Type, Wave_350 to Wave_2500;Leaf spectral reflectance, reflectance, spectroscopy, arctic, shrub;VEGETATION;Kougarok Road;Alaska;Seward Peninsula;KG_MM64; Arctic; Barrow; Nome; north slope; permafrost; Seward Peninsula; Tundra; Alaska
• Online Access: https://dx.doi.org/10.5440/1430079; https://www.osti.gov/servlets/purl/1430079/

Measurements of full-spectrum (i.e. 350-2500nm) leaf spectral reflectance of Arctic plant species. Data were collected along NGEE sites in the Seward Peninsula, Alaska during the 2016 period. Data collected to measure leaf-level spectral optical properties of Arctic plants to enable scaling. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) 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).