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

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...

Full description

Bibliographic Details
Main Authors: Grant, RF, Mekonnen, ZA, Riley, WJ, Wainwright, HM, Graham, D, Torn, MS
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2017
Subjects:
Online Access:https://escholarship.org/uc/item/09x4k422
id ftcdlib:oai:escholarship.org:ark:/13030/qt09x4k422
record_format openpolar
spelling ftcdlib:oai:escholarship.org:ark:/13030/qt09x4k422 2024-02-11T09:54:37+01:00 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 https://escholarship.org/uc/item/09x4k422 unknown eScholarship, University of California qt09x4k422 https://escholarship.org/uc/item/09x4k422 public Journal of Geophysical Research Biogeosciences, vol 122, iss 12 Hydrology Earth Sciences Climate Action Geophysics article 2017 ftcdlib 2024-01-15T19:05:26Z 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 15cm 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=0.03m). 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 permafrost Tundra University of California: eScholarship Arctic
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language unknown
topic Hydrology
Earth Sciences
Climate Action
Geophysics
spellingShingle Hydrology
Earth Sciences
Climate Action
Geophysics
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
topic_facet Hydrology
Earth Sciences
Climate Action
Geophysics
description 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 15cm 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=0.03m). 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
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 https://escholarship.org/uc/item/09x4k422
op_coverage 3161 - 3173
geographic Arctic
geographic_facet Arctic
genre Active layer monitoring
Arctic
permafrost
Tundra
genre_facet Active layer monitoring
Arctic
permafrost
Tundra
op_source Journal of Geophysical Research Biogeosciences, vol 122, iss 12
op_relation qt09x4k422
https://escholarship.org/uc/item/09x4k422
op_rights public
_version_ 1790596624999776256