Arctic Soil Patterns Analogous to Fluid Instabilities: Supporting Data

Fratkin, Michael; Glade, Rachel; Nutt, Mara; Pouragha, Mehdi; Seiphoori, Ali; Rowland, Joel

doi:10.5440/1768024

Title: Arctic Soil Patterns Analogous to Fluid Instabilities: Supporting Data

Dataset
Other Related Research

Abstract

This dataset characterizes solifluction lobe morphology and spatial patterns using pre-existing LiDAR-derived digital elevation models of 25 sites across Norway with accompanying long term climate data for each site. Data were collected as part of an effort to better understand controls on the formation of solifluction patterns and to test the idea that they are analogous to fluid instabilities. We also provide soil velocity profiles and estimates of effective viscosity from across the world, drawn from literature. They were collected to improve our understanding of the rheology of soliflucting soil. See this article for more information on the theoretical motivation behind this dataset https://doi.org/10.1073/pnas.2101255118. Data files arranged in a hierarchy and include image files *.tif and *.png, GIS shapefiles and geopackages (*.gpkg), *.csv (with same file as *.xlsx), and *.py (Python scripts readable with a text editor). Files also bundled into *.zip files.Note (2021-10-20): unit corrections made on two files: RR.csv and snowfall.csv.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 NGEEmore »« less

Authors:

;

; Nutt, Mara;

;

Publication Date:: Thu Dec 03 00:00:00 EST 2020

Other Number(s):: NGA245

DOE Contract Number:: DE-AC05-00OR22725

Research Org.:: 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)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: ORNL

Subject:: 54 Environmental Sciences

Keywords:: lobe width; lobe length; lobe height; topographic slope; riser angle; terrace wavelength; solifluction lobe morphology; rainfall rate; snowfall rate; mean annual air temperature; mean annual temperature amplitude; climate data; Norway

OSTI Identifier:: 1768024

DOI:: https://doi.org/10.5440/1768024

Citation Formats


                    Fratkin, Michael, Glade, Rachel, Nutt, Mara, Pouragha, Mehdi, Seiphoori, Ali, and Rowland, Joel. Arctic Soil Patterns Analogous to Fluid Instabilities: Supporting Data.  United States: N. p., 2020. 
        Web.  doi:10.5440/1768024.

Copy to clipboard


                    Fratkin, Michael, Glade, Rachel, Nutt, Mara, Pouragha, Mehdi, Seiphoori, Ali, & Rowland, Joel. Arctic Soil Patterns Analogous to Fluid Instabilities: Supporting Data.  United States.  doi:https://doi.org/10.5440/1768024

Copy to clipboard


                    Fratkin, Michael, Glade, Rachel, Nutt, Mara, Pouragha, Mehdi, Seiphoori, Ali, and Rowland, Joel. 2020.  
"Arctic Soil Patterns Analogous to Fluid Instabilities: Supporting Data".  United States.  doi:https://doi.org/10.5440/1768024.  https://www.osti.gov/servlets/purl/1768024. Pub date:Thu Dec 03 00:00:00 EST 2020

Copy to clipboard


                    
@article{osti_1768024,

  title        = {Arctic Soil Patterns Analogous to Fluid Instabilities: Supporting Data},

  author       = {Fratkin, Michael and Glade, Rachel and Nutt, Mara and Pouragha, Mehdi and Seiphoori, Ali and Rowland, Joel},

  abstractNote = {This dataset characterizes solifluction lobe morphology and spatial patterns using pre-existing LiDAR-derived digital elevation models of 25 sites across Norway with accompanying long term climate data for each site. Data were collected as part of an effort to better understand controls on the formation of solifluction patterns and to test the idea that they are analogous to fluid instabilities. We also provide soil velocity profiles and estimates of effective viscosity from across the world, drawn from literature. They were collected to improve our understanding of the rheology of soliflucting soil. See this article for more information on the theoretical motivation behind this dataset https://doi.org/10.1073/pnas.2101255118. Data files arranged in a hierarchy and include image files *.tif and *.png, GIS shapefiles and geopackages (*.gpkg), *.csv (with same file as *.xlsx), and *.py (Python scripts readable with a text editor). Files also bundled into *.zip files.Note (2021-10-20): unit corrections made on two files: RR.csv and snowfall.csv.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).},

  doi          = {10.5440/1768024},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Dec 03 00:00:00 EST 2020},

  month        = {Thu Dec 03 00:00:00 EST 2020}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.5440/1768024

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Arctic soil patterns analogous to fluid instabilities

Journal Article Glade, Rachel C. ; Fratkin, Michael M. ; Pouragha, Mehdi ; ... - Proceedings of the National Academy of Sciences of the United States of America

Slow-moving arctic soils commonly organize into striking large-scale spatial patterns called solifluction terraces and lobes. Although these features impact hillslope stability, carbon storage and release, and landscape response to climate change, no mechanistic explanation exists for their formation. Everyday fluids—such as paint dripping down walls—produce markedly similar fingering patterns resulting from competition between viscous and cohesive forces. Here we use a scaling analysis to show that soil cohesion and hydrostatic effects can lead to similar large-scale patterns in arctic soils. A large dataset of high-resolution solifluction lobe spacing and morphology across Norway supports theoretical predictions and indicates a newly observedmore »« less
Arctic soil patterns analogous to fluid instabilities

Journal Article Glade, Rachel C. ; Fratkin, Michael M. ; Pouragha, Mehdi ; ... - Proceedings of the National Academy of Sciences of the United States of America

Slow-moving arctic soils commonly organize into striking large-scale spatial patterns called solifluction terraces and lobes. Although these features impact hillslope stability, carbon storage and release, and landscape response to climate change, no mechanistic explanation exists for their formation. Everyday fluids—such as paint dripping down walls—produce markedly similar fingering patterns resulting from competition between viscous and cohesive forces. Here we use a scaling analysis to show that soil cohesion and hydrostatic effects can lead to similar large-scale patterns in arctic soils. A large dataset of high-resolution solifluction lobe spacing and morphology across Norway supports theoretical predictions and indicates a newly observedmore »« less
Arctic soil patterns analogous to fluid instabilities

Journal Article Glade, Rachel C. ; Fratkin, Michael M. ; Pouragha, Mehdi ; ... - Proceedings of the National Academy of Sciences of the United States of America

Slow-moving arctic soils commonly organize into striking large-scale spatial patterns called solifluction terraces and lobes. Although these features impact hillslope stability, carbon storage and release, and landscape response to climate change, no mechanistic explanation exists for their formation. Everyday fluids—such as paint dripping down walls—produce markedly similar fingering patterns resulting from competition between viscous and cohesive forces. Here we use a scaling analysis to show that soil cohesion and hydrostatic effects can lead to similar large-scale patterns in arctic soils. A large dataset of high-resolution solifluction lobe spacing and morphology across Norway supports theoretical predictions and indicates a newly observedmore »« less
Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data

Dataset Dafflon, Baptiste ; Oktem, Rusen ; Peterson, John ; ...

These data are provided in support of an NGEE Arctic publication (Dafflon et al., 2017) available at doi: 10.1002/2016JG003724 The dataset (221 *.csv data files) contains measurements obtained through 1) electrical resistivity tomography (ERT) to monitor soil properties, 2) pole-mounted optical cameras to monitor vegetation dynamics, and 3) point probes to measure soil temperature, and periodic manual measurements of thaw layer thickness, snow thickness and soil dielectric permittivity at a study site in the Barrow Environmental Observatory (BEO) in 2013 and 2014. The BEO is located within the Arctic coastal region, about 6 km from the ocean shore and themore »« less
Integrating Very-High-Resolution UAS Data and Airborne Imaging Spectroscopy to Map the Fractional Composition of Arctic Plant Functional Types in Western Alaska: Supporting Data

Dataset Yang, Dedi ; Serbin, Shawn

Remote sensing maps of plant functional type (PFT) fractional cover (FCover), dominant PFT, and FCover uncertainty derived from NASA’s Airborne Visible / Infrared Imaging Spectrometer – Next Generation (AVIRIS-NG). The AVIRIS-NG imaging spectroscopy data (380 – 2510 nm) was collected as a part of the collaboration between NASA’s Arctic-Boreal Vulnerability Experiment (ABoVE; Miller et al., 2019) and DOE’s Next Generation Ecosystem Experiment in the Arctic (NGEE-Arctic). This package includes maps of the NGEE-Arctic Council watershed on the Seward Peninsula, Alaska, created using AVIRIS-NG imagery collected on July 9th, 2019. The map data and metadata are provided as GeoTIFF (*.tif), ENVImore »« less

Similar Records