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Title: Evaluating Integrated Surface/Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site: Modeling Archive

Abstract

This Modeling Archive supports the NGEE Arctic publication available at (submitted to Geoscientific model development). We evaluated the integrated surface/subsurface permafrost thermal hydrology models in the Advanced Terrestrial Simulator (ATS) against field observations in polygonal tundra at the Barrow Environmental Observatory. We simulated thermal hydrology of three-dimensional ice-wedge polygons with generic but broadly representative surface microtopography. We drove the simulations with meteorological data and observed water table elevations in ice-wedge polygon troughs. With limited calibration of the soil properties and evaporation model parameters, the simulations were found to be consistent with observed water tables, active layer thickness, snowpack depth, evaporation, and observed soil temperatures at several depths in trough, rim, and center. The study builds confidence in the emerging class of integrated surface/subsurface permafrost simulators and provides an optimized set of model parameters for use in projections of permafrost dynamics in a warming climate.

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo
Publication Date:
Other Number(s):
NGA191
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
OSTI Identifier:
1545603
DOI:
https://doi.org/10.5440/1545603

Citation Formats

Jan, Ahmad, Coon, Ethan, and Painter, Scott. Evaluating Integrated Surface/Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site: Modeling Archive. United States: N. p., 2019. Web. doi:10.5440/1545603.
Jan, Ahmad, Coon, Ethan, & Painter, Scott. Evaluating Integrated Surface/Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site: Modeling Archive. United States. doi:https://doi.org/10.5440/1545603
Jan, Ahmad, Coon, Ethan, and Painter, Scott. 2019. "Evaluating Integrated Surface/Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site: Modeling Archive". United States. doi:https://doi.org/10.5440/1545603. https://www.osti.gov/servlets/purl/1545603. Pub date:Thu Nov 21 00:00:00 EST 2019
@article{osti_1545603,
title = {Evaluating Integrated Surface/Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site: Modeling Archive},
author = {Jan, Ahmad and Coon, Ethan and Painter, Scott},
abstractNote = {This Modeling Archive supports the NGEE Arctic publication available at (submitted to Geoscientific model development). We evaluated the integrated surface/subsurface permafrost thermal hydrology models in the Advanced Terrestrial Simulator (ATS) against field observations in polygonal tundra at the Barrow Environmental Observatory. We simulated thermal hydrology of three-dimensional ice-wedge polygons with generic but broadly representative surface microtopography. We drove the simulations with meteorological data and observed water table elevations in ice-wedge polygon troughs. With limited calibration of the soil properties and evaporation model parameters, the simulations were found to be consistent with observed water tables, active layer thickness, snowpack depth, evaporation, and observed soil temperatures at several depths in trough, rim, and center. The study builds confidence in the emerging class of integrated surface/subsurface permafrost simulators and provides an optimized set of model parameters for use in projections of permafrost dynamics in a warming climate.},
doi = {10.5440/1545603},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Nov 21 00:00:00 EST 2019},
month = {Thu Nov 21 00:00:00 EST 2019}
}