Ground surface temperature derived Snow Cover Properties, Seward Peninsula, Alaska, 2019-2023

Gasarch, Eve; Lathrop, Emma; Thomas, Lauren; Bachand, Claire; Bennett, Katrina

doi:10.15485/2530743

Title: Ground surface temperature derived Snow Cover Properties, Seward Peninsula, Alaska, 2019-2023

Dataset
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Abstract

Snow-ground interface temperatures have been collected at the Teller mile marker 27 and Kougarok mile marker 64 field sites on the Seward Peninsula, Alaska from 2019 through 2023 (with data missing from Fall 2020 through Summer 2021 due to COVID). Temperatures were measured using iButton Link DS1921G-F5# Thermochron miniature temperature sensors and Tinytag TGP-4017 internal sensors deployed across the Kougarok 64 and Teller 27 field sites. These sensors are a cost-efficient way to collect snow-ground interface temperatures at a high spatial resolution, and when paired with air temperature data these measurements can provide insight into fine-scale variability in snowpack characteristics across the study sites. From this data, snow process metrics were calculated at each sensor location based on the methods outlined in Staub and Delaloye, 2017. Metrics are calculated daily for each sensor as well as over the entire season. These metrics include ground surface temperature (°C), the number of days under snow cover (number of days), the insulation effect of snow (unitless), the length of the transitional snow periods (number of days), as well as intermediaries such as temperature variability. Calculating these snow processes relies on the assumption that when snow covers a temperature sensor, it is buffered frommore »« less

Authors:

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ESS-DIVE

Publication Date:: Wed Jan 01 04:00:00 UTC 2025

Other Number(s):: LA-UR-24-26283; NGA541

DOE Contract Number:: AC02-05CH11231

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Next-Generation Ecosystem Experiments (NGEE) Arctic

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > CRYOSPHERE > SNOW/ICE; EARTH SCIENCE > LAND SURFACE > FROZEN GROUND; EARTH SCIENCE > LAND SURFACE > FROZEN GROUND > SOIL TEMPERATURE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW/ICE TEMPERATURE; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format

OSTI Identifier:: 2530743

DOI:: https://doi.org/10.15485/2530743

Citation Formats


                    Gasarch, Eve, Lathrop, Emma, Thomas, Lauren, Bachand, Claire, and Bennett, Katrina. Ground surface temperature derived Snow Cover Properties, Seward Peninsula, Alaska, 2019-2023.  United States: N. p., 2025. 
        Web.  doi:10.15485/2530743.

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                    Gasarch, Eve, Lathrop, Emma, Thomas, Lauren, Bachand, Claire, & Bennett, Katrina. Ground surface temperature derived Snow Cover Properties, Seward Peninsula, Alaska, 2019-2023.  United States.  doi:https://doi.org/10.15485/2530743

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                    Gasarch, Eve, Lathrop, Emma, Thomas, Lauren, Bachand, Claire, and Bennett, Katrina. 2025.  
"Ground surface temperature derived Snow Cover Properties, Seward Peninsula, Alaska, 2019-2023".  United States.  doi:https://doi.org/10.15485/2530743.  https://www.osti.gov/servlets/purl/2530743. Pub date:Wed Jan 01 04:00:00 UTC 2025

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@article{osti_2530743,

  title        = {Ground surface temperature derived Snow Cover Properties, Seward Peninsula, Alaska, 2019-2023},

  author       = {Gasarch, Eve and Lathrop, Emma and Thomas, Lauren and Bachand, Claire and Bennett, Katrina},

  abstractNote = {Snow-ground interface temperatures have been collected at the Teller mile marker 27 and Kougarok mile marker 64 field sites on the Seward Peninsula, Alaska from 2019 through 2023 (with data missing from Fall 2020 through Summer 2021 due to COVID). Temperatures were measured using iButton Link DS1921G-F5# Thermochron miniature temperature sensors and Tinytag TGP-4017 internal sensors deployed across the Kougarok 64 and Teller 27 field sites. These sensors are a cost-efficient way to collect snow-ground interface temperatures at a high spatial resolution, and when paired with air temperature data these measurements can provide insight into fine-scale variability in snowpack characteristics across the study sites. From this data, snow process metrics were calculated at each sensor location based on the methods outlined in Staub and Delaloye, 2017. Metrics are calculated daily for each sensor as well as over the entire season. These metrics include ground surface temperature (°C), the number of days under snow cover (number of days), the insulation effect of snow (unitless), the length of the transitional snow periods (number of days), as well as intermediaries such as temperature variability. Calculating these snow processes relies on the assumption that when snow covers a temperature sensor, it is buffered from diurnal fluctuations in air temperature by the insulating snow layer. More information on the calculated metrics can be found in the User Guide of this dataset, as well as in Staub and Delaloye’s 2017 publication Using Near-Surface Ground Temperature Data to Derive Snow Insulation and Melt Indices for Mountain Permafrost Applications. This dataset includes one daily and one seasonal *.csv file of metrics for every year of data, a daily and a seasonal *.csv data dictionary, and one User Guide document (*.pdf) describing data collection and processing.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).},

  doi          = {10.15485/2530743},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jan 01 04:00:00 UTC 2025},

  month        = {Wed Jan 01 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.15485/2530743

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