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Title: Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive

Abstract

This dataset contains an ensemble of thermal-hydro soil parameters including porosity, thermal conductivity, thermal conductivity shape parameters, and residual saturation of peat and mineral soil. The ensemble was generated using a Null-Space Monte Carlo analysis of parameter uncertainty based on a calibration to soil temperatures collected at the Barrow Environmental Observatory site by the NGEE team. The micro-topography of ice wedge polygons present at the site is included in the analysis using three 1D column models to represent polygon center, rim and trough features. The Arctic Terrestrial Simulator (ATS) was used in the calibration to model multiphase thermal and hydrological processes in the subsurface. This dataset includes one zipped file, one pdf file, and one csv file.This Modeling Archive is in support of an NGEE Arctic publication. The citation for that publication can be found within the references section.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 coastalmore » 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).« less

Authors:
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  1. Los Alamos National Laboratory
Publication Date:
Other Number(s):
https://doi.org/10.5440/1236647; NGA078
ngee_79D175C30603D38DAE2A2635444E585F2016_04_19_110814628
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Collaborations:
ORNL
Subject:
54 ENVIRONMENTAL SCIENCES; Active layer thickness; Barrow, Alaska; Calibration-constrained analysis; North Slope, Alaska; Permafrost projections; Soil property uncertainty; Utqiagvik, Alaska
OSTI Identifier:
1236647
DOI:
https://doi.org/10.5440/1236647

Citation Formats

Harp, Dylan, Atchley, Adam, Painter, Scott, Coon, Ethan, Wilson, Cathy, Romanovsky, Vladimir, and Rowland, Joel. Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive. United States: N. p., 2016. Web. doi:10.5440/1236647.
Harp, Dylan, Atchley, Adam, Painter, Scott, Coon, Ethan, Wilson, Cathy, Romanovsky, Vladimir, & Rowland, Joel. Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive. United States. doi:https://doi.org/10.5440/1236647
Harp, Dylan, Atchley, Adam, Painter, Scott, Coon, Ethan, Wilson, Cathy, Romanovsky, Vladimir, and Rowland, Joel. 2016. "Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive". United States. doi:https://doi.org/10.5440/1236647. https://www.osti.gov/servlets/purl/1236647. Pub date:Wed Feb 10 23:00:00 EST 2016
@article{osti_1236647,
title = {Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive},
author = {Harp, Dylan and Atchley, Adam and Painter, Scott and Coon, Ethan and Wilson, Cathy and Romanovsky, Vladimir and Rowland, Joel},
abstractNote = {This dataset contains an ensemble of thermal-hydro soil parameters including porosity, thermal conductivity, thermal conductivity shape parameters, and residual saturation of peat and mineral soil. The ensemble was generated using a Null-Space Monte Carlo analysis of parameter uncertainty based on a calibration to soil temperatures collected at the Barrow Environmental Observatory site by the NGEE team. The micro-topography of ice wedge polygons present at the site is included in the analysis using three 1D column models to represent polygon center, rim and trough features. The Arctic Terrestrial Simulator (ATS) was used in the calibration to model multiphase thermal and hydrological processes in the subsurface. This dataset includes one zipped file, one pdf file, and one csv file.This Modeling Archive is in support of an NGEE Arctic publication. The citation for that publication can be found within the references section.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 = {10.5440/1236647},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 10 23:00:00 EST 2016},
month = {Wed Feb 10 23:00:00 EST 2016}
}