Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation

©2017. American Geophysical Union. All Rights Reserved. Microtopographic variation that develops among features (troughs, rims, and centers) within polygonal landforms of coastal arctic tundra strongly affects movement of surface water and snow and thereby affects soil water contents (θ) and active...

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Published in:Journal of Geophysical Research: Biogeosciences
Main Authors: Grant, RF, Mekonnen, ZA, Riley, WJ, Wainwright, HM, Graham, D, Torn, MS
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2017
Subjects:
Online Access:http://www.escholarship.org/uc/item/09x4k422
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spelling ftcdlib:qt09x4k422 2023-05-15T13:02:43+02:00 Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation Grant, RF Mekonnen, ZA Riley, WJ Wainwright, HM Graham, D Torn, MS 3161 - 3173 2017-12-01 application/pdf http://www.escholarship.org/uc/item/09x4k422 english eng eScholarship, University of California qt09x4k422 http://www.escholarship.org/uc/item/09x4k422 public Grant, RF; Mekonnen, ZA; Riley, WJ; Wainwright, HM; Graham, D; & Torn, MS. (2017). Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation. Journal of Geophysical Research: Biogeosciences, 122(12), 3161 - 3173. doi:10.1002/2017JG004035. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/09x4k422 article 2017 ftcdlib https://doi.org/10.1002/2017JG004035 2018-07-13T22:58:23Z ©2017. American Geophysical Union. All Rights Reserved. Microtopographic variation that develops among features (troughs, rims, and centers) within polygonal landforms of coastal arctic tundra strongly affects movement of surface water and snow and thereby affects soil water contents (θ) and active layer depth (ALD). Spatial variation in ALD among these features may exceed interannual variation in ALD caused by changes in climate and so needs to be represented in projections of changes in arctic ALD. In this study, increases in near-surface θ with decreasing surface elevation among polygon features at the Barrow Experimental Observatory (BEO) were modeled from topographic effects on redistribution of surface water and snow and from lateral water exchange with a subsurface water table during a model run from 1981 to 2015. These increases in θ caused increases in thermal conductivity that in turn caused increases in soil heat fluxes and hence in ALD of up to 15 cm with lower versus higher surface elevation which were consistent with increases measured at BEO. The modeled effects of θ caused interannual variation in maximum ALD that compared well with measurements from 1985 to 2015 at the Barrow Circumpolar Active Layer Monitoring (CALM) site (R2 = 0.61, RMSE = 0.03 m). For higher polygon features, interannual variation in ALD was more closely associated with annual precipitation than mean annual temperature, indicating that soil wetting from increases in precipitation may hasten permafrost degradation beyond that caused by soil warming from increases in air temperature. This degradation may be more rapid if increases in precipitation cause sustained wetting in higher features. Article in Journal/Newspaper Active layer monitoring Arctic Arctic permafrost Tundra University of California: eScholarship Arctic Journal of Geophysical Research: Biogeosciences 122 12 3161 3173
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
description ©2017. American Geophysical Union. All Rights Reserved. Microtopographic variation that develops among features (troughs, rims, and centers) within polygonal landforms of coastal arctic tundra strongly affects movement of surface water and snow and thereby affects soil water contents (θ) and active layer depth (ALD). Spatial variation in ALD among these features may exceed interannual variation in ALD caused by changes in climate and so needs to be represented in projections of changes in arctic ALD. In this study, increases in near-surface θ with decreasing surface elevation among polygon features at the Barrow Experimental Observatory (BEO) were modeled from topographic effects on redistribution of surface water and snow and from lateral water exchange with a subsurface water table during a model run from 1981 to 2015. These increases in θ caused increases in thermal conductivity that in turn caused increases in soil heat fluxes and hence in ALD of up to 15 cm with lower versus higher surface elevation which were consistent with increases measured at BEO. The modeled effects of θ caused interannual variation in maximum ALD that compared well with measurements from 1985 to 2015 at the Barrow Circumpolar Active Layer Monitoring (CALM) site (R2 = 0.61, RMSE = 0.03 m). For higher polygon features, interannual variation in ALD was more closely associated with annual precipitation than mean annual temperature, indicating that soil wetting from increases in precipitation may hasten permafrost degradation beyond that caused by soil warming from increases in air temperature. This degradation may be more rapid if increases in precipitation cause sustained wetting in higher features.
format Article in Journal/Newspaper
author Grant, RF
Mekonnen, ZA
Riley, WJ
Wainwright, HM
Graham, D
Torn, MS
spellingShingle Grant, RF
Mekonnen, ZA
Riley, WJ
Wainwright, HM
Graham, D
Torn, MS
Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation
author_facet Grant, RF
Mekonnen, ZA
Riley, WJ
Wainwright, HM
Graham, D
Torn, MS
author_sort Grant, RF
title Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation
title_short Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation
title_full Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation
title_fullStr Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation
title_full_unstemmed Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation
title_sort mathematical modelling of arctic polygonal tundra with ecosys: 1. microtopography determines how active layer depths respond to changes in temperature and precipitation
publisher eScholarship, University of California
publishDate 2017
url http://www.escholarship.org/uc/item/09x4k422
op_coverage 3161 - 3173
geographic Arctic
geographic_facet Arctic
genre Active layer monitoring
Arctic
Arctic
permafrost
Tundra
genre_facet Active layer monitoring
Arctic
Arctic
permafrost
Tundra
op_source Grant, RF; Mekonnen, ZA; Riley, WJ; Wainwright, HM; Graham, D; & Torn, MS. (2017). Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation. Journal of Geophysical Research: Biogeosciences, 122(12), 3161 - 3173. doi:10.1002/2017JG004035. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/09x4k422
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op_doi https://doi.org/10.1002/2017JG004035
container_title Journal of Geophysical Research: Biogeosciences
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container_issue 12
container_start_page 3161
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