End-of-Winter Snow Depth, Temperature, Density, and SWE Measurements at Kougarok Road Site, Seward Peninsula, Alaska, 2022

• Main Authors: Bennett, Katrina, Bolton, Robert, Busey, Bob, Crumley, Ryan, Gasarch, Eve, Thomas, Lauren, Wullschleger, Stan
• Language: unknown
• Published: 2023
• Subjects: 54 Environmental Sciences; Arctic; Barrow; Seward Peninsula; Tundra; Alaska
• Online Access: http://www.osti.gov/servlets/purl/1888533; https://www.osti.gov/biblio/1888533; https://doi.org/10.5440/1888533

Measurements of end-of-winter snow properties were collected at the NGEE Arctic Kougarok Road Site at mile marker 64 (KG_MM64) from April 2 to April 5, 2022. This dataset contains three *.csv data files of spatiallydistributed values of snow depth, snow water equivalent (SWE), and temperature at the snow surface and at the bottom of the snowpack. Data were collected toward the end of the winter season during early April, when the snowpack would be near itsmaximum.ASnow-Hydro MagnaProbe ( http://www.snowhydro.com/products/column2.html ) was used to improve collectionefficiency and enhance spatial coverage. A user guide included as a *.pdf.This dataset is a continuation of the previous end-of-wintersnowsurveyconducted attheKougarok Road Site in 2018 (Wilson et al., 2021; https://doi.org/10.5440/1593874 ). The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), a research effort to reduce uncertainty in Earth System Models by developing apredictiveunderstanding ofcarbon-richArcticecosystemsandfeedbackstoclimate. NGEEArcticwas supportedbytheDepartmentofEnergy’s OfficeofBiologicalandEnvironmentalResearch. The NGEE Arctic project had two field research sites: 1) located within the Arcticpolygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and theNorth Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuouspermafrostregion of theSewardPeninsula north ofNome,Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arcticprovided an enhanced knowledge base for multi-scale modeling and contributed toimproved process representation at global pan-Arctic scales within the Department ofEnergy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically withintheE3SMLand Modelcomponent(ELM).