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
• Format: Dataset
• Language: English
• Published: Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) 2023
• Subjects: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE; Seward Peninsula, Alaska; Kougarok Road, Alaska; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE CSV File Formatting Guidelines Reporting Format; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW DENSITY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW/ICE TEMPERATURE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW DEPTH; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT; Arctic; Seward Peninsula; Alaska
• Online Access: https://dx.doi.org/10.5440/1888533; https://www.osti.gov/servlets/purl/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 spatially distributed values of snow depth, snow water equivalent (SWE), and snow 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 its maximum. A Snow-Hydro MagnaProbe (http://www.snowhydro.com/products/column2.html) was used to improve collection efficiency and enhance spatial coverage. A user guide is included as a *.pdf. This dataset is a continuation of the previous end-of-winter snow surveys conducted at the Kougarok Road Site in 2018 (Wilson et al., 2021; https://doi.org/10.5440/1593874).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 ...