Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Discussion papers
https://doi.org/10.5194/gmd-2019-265
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-265
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model evaluation paper 25 Nov 2019

Submitted as: model evaluation paper | 25 Nov 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Evaluating integrated surface/subsurface permafrost thermal hydrology models in ATS (v0.88) against observations from a polygonal tundra site

Ahmad Jan, Ethan T. Coon, and Scott L. Painter Ahmad Jan et al.
  • Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge,Tennessee, USA

Abstract. Numerical simulations are essential tools for understanding the complex hydrologic response of Arctic regions to a warming climate. However, strong coupling among thermal and hydrological processes on the surface and in the subsurface and the significant role that subtle variations in surface topography have in regulating flow direction and surface storage lead to significant uncertainties. Careful model evaluation against field observations is thus important to build confidence. We evaluate the integrated surface/subsurface permafrost thermal hydrology models in the Advanced Terrestrial Simulator (ATS) against field observations from polygonal tundra at the Barrow Environmental Observatory. ATS couples a multiphase, three-dimensional representation of subsurface thermal hydrology with representations of overland nonisothermal flows, snow processes, and surface energy balance. We simulated thermal hydrology of three-dimensional ice-wedge polygons with generic but broadly representative surface microtopography. The simulations were forced by meteorological data and observed water table elevations in ice-wedge polygon troughs. With limited calibration of parameters appearing in the soil evaporation model, the three-year simulations agreed reasonably well with snow depth, summer water table elevations in the polygon center, and high-frequency soil temperature measurements at several depths in the trough, rim, and center of the polygon. Upscaled evaporation is in good agreement with flux tower observations. The simulations were found to be sensitive to parameters in the bare soil evaporation model, snowpack, and the lateral saturated hydraulic conductivity. The study provides new support for an emerging class of integrated surface/subsurface permafrost simulators, and provides an optimized set of model parameters for use in watershed-scale projections of permafrost dynamics in a warming climate.

Ahmad Jan et al.
Interactive discussion
Status: open (until 20 Jan 2020)
Status: open (until 20 Jan 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Ahmad Jan et al.
Data sets

Evaluating Integrated Surface/Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site: Modeling Archive A. Jan, E. Coon, S. L. Painter https://doi.org/10.5440/1545603

Model code and software

Advanced Terrestrial Simulator Ethan Coon, Daniil Svyatsky, Daniil, Ahmad Jan, Eugene Kikinzon, Markus Berndt, Adam Atchley, Dylan Harp, Gianmarco Manzini, Eitan Shelef, Konstantin Lipnikov, Rao Garimella, Chonggant Xu, David Moulton, Satish Karra, Scott L Painter, Elchin Jafarov, Sergi Molins https://doi.org/10.11578/dc.20190911.1

Ahmad Jan et al.
Viewed  
Total article views: 119 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
92 25 2 119 4 3
  • HTML: 92
  • PDF: 25
  • XML: 2
  • Total: 119
  • BibTeX: 4
  • EndNote: 3
Views and downloads (calculated since 25 Nov 2019)
Cumulative views and downloads (calculated since 25 Nov 2019)
Viewed (geographical distribution)  
Total article views: 95 (including HTML, PDF, and XML) Thereof 95 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 14 Dec 2019
Publications Copernicus
Download
Short summary
Computer simulations are important tools for understanding the response of Arctic permafrost to a warming climate. To build confidence in an emerging class of permafrost simulators, we evaluated the Advanced Terrestrial Simulator against field observations from a frozen tundra site near Utqiagvik (Barrow), Alaska. The three-year simulations agree well with observations of snow depth, summer water table, soil temperature at multiple locations, and spatially averaged evaporation.
Computer simulations are important tools for understanding the response of Arctic permafrost to...
Citation