Understand and forecast long-term variations of in-situ geophysical and geomechanical characteristics of degrading permafrost in the Arctic - continuously observed ground temperatures, 2021-2022 ...

This project is part of the NSF USDA-National Institute of Food and Agriculture (NIFA)-jointly-funded Signals in the Soil (SitS) program whose goal is to support collaborative research on dynamic soil processes and soil formation through advances in sensor systems and predictive, process-based and m...

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Bibliographic Details
Main Authors: Nicolsky, Dmitry, Wright, Thomas
Format: Dataset
Language:English
Published: NSF Arctic Data Center 2023
Subjects:
Online Access:https://dx.doi.org/10.18739/a2c53f305
https://arcticdata.io/catalog/view/doi:10.18739/A2C53F305
Description
Summary:This project is part of the NSF USDA-National Institute of Food and Agriculture (NIFA)-jointly-funded Signals in the Soil (SitS) program whose goal is to support collaborative research on dynamic soil processes and soil formation through advances in sensor systems and predictive, process-based and mechanistic modeling. This dataset provides ground temperature data in the active layer and near-surface permafrost to provide a baseline for assessing the future changes in the near-surface temperatures in the natural environment at Utqiagvik, Alaska. Collected ground temperature data are intended to help researchers ground-truth measurements of geophysical and geomechanical properties measured using a 1.5-kilometer-long fiber-optic distributed acoustic sensing array. The project outcomes will enable realistic evaluation of the performances of infrastructure in Arctic Alaska and improve the design of more robust infrastructure in the Arctic. ...