Local variability of a taiga snow cover due to vegetation and microtopography
ABSTRACTThe taiga snow cover accumulates in relatively stable and windless weather. This should produce a uniform snow cover with continuous, laterally homogeneous stratigraphy and snow properties when the snow is deposited on a level, smooth substrate. However, such substrates are rare, and local v...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | Arctic, Antarctic, and Alpine Research |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15230430.2023.2170086 |
| _version_ | 1797224834593193984 |
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| author | Anton Komarov Matthew Sturm |
| author_facet | Anton Komarov Matthew Sturm |
| author_sort | Anton Komarov |
| collection | DOAJ |
| description | ABSTRACTThe taiga snow cover accumulates in relatively stable and windless weather. This should produce a uniform snow cover with continuous, laterally homogeneous stratigraphy and snow properties when the snow is deposited on a level, smooth substrate. However, such substrates are rare, and local variations in vegetation and ground surface topography alter the structure of the snow cover and produce irregular snow layers. In this study, we investigated the effects of vegetation, microtopography, and microclimatic variability on the taiga snow near Fairbanks, Alaska. Through the winter of 2019–2020, in situ measurements were made at three locations with distinctly different local microtopographic features and radically different (but typical) vegetation. One site was an open grassy field, the second a mature spruce forest, and the third a birch forest located on thermokarst terrain with steep microrelief where ice wedges had degraded. Widely different canopy interception processes proved to have the strongest impact on the resulting snow cover heterogeneity by altering the initial deposition, with surface microtopography having the second strongest influence through postdepositional processes. In this article, we suggest a conceptual framework for understanding and modeling taiga snow variability in terms of the vegetation and microtopography that created it. |
| first_indexed | 2024-03-07T19:48:46Z |
| format | Article |
| id | doaj.art-ceee2834f04740f7b4ced0ac0031635d |
| institution | Directory Open Access Journal |
| issn | 1523-0430 1938-4246 |
| language | English |
| last_indexed | 2024-04-24T13:59:25Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Arctic, Antarctic, and Alpine Research |
| spelling | doaj.art-ceee2834f04740f7b4ced0ac0031635d2024-04-03T14:36:12ZengTaylor & Francis GroupArctic, Antarctic, and Alpine Research1523-04301938-42462023-12-0155110.1080/15230430.2023.2170086Local variability of a taiga snow cover due to vegetation and microtopographyAnton Komarov0Matthew Sturm1Laboratory of Snow Avalanches and Debris Flows, Faculty of Geography, Lomonosov Moscow State University, Moscow, RussiaGeophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska, USAABSTRACTThe taiga snow cover accumulates in relatively stable and windless weather. This should produce a uniform snow cover with continuous, laterally homogeneous stratigraphy and snow properties when the snow is deposited on a level, smooth substrate. However, such substrates are rare, and local variations in vegetation and ground surface topography alter the structure of the snow cover and produce irregular snow layers. In this study, we investigated the effects of vegetation, microtopography, and microclimatic variability on the taiga snow near Fairbanks, Alaska. Through the winter of 2019–2020, in situ measurements were made at three locations with distinctly different local microtopographic features and radically different (but typical) vegetation. One site was an open grassy field, the second a mature spruce forest, and the third a birch forest located on thermokarst terrain with steep microrelief where ice wedges had degraded. Widely different canopy interception processes proved to have the strongest impact on the resulting snow cover heterogeneity by altering the initial deposition, with surface microtopography having the second strongest influence through postdepositional processes. In this article, we suggest a conceptual framework for understanding and modeling taiga snow variability in terms of the vegetation and microtopography that created it.https://www.tandfonline.com/doi/10.1080/15230430.2023.2170086Snowtaigastratigraphyinterception |
| spellingShingle | Anton Komarov Matthew Sturm Local variability of a taiga snow cover due to vegetation and microtopography Arctic, Antarctic, and Alpine Research Snow taiga stratigraphy interception |
| title | Local variability of a taiga snow cover due to vegetation and microtopography |
| title_full | Local variability of a taiga snow cover due to vegetation and microtopography |
| title_fullStr | Local variability of a taiga snow cover due to vegetation and microtopography |
| title_full_unstemmed | Local variability of a taiga snow cover due to vegetation and microtopography |
| title_short | Local variability of a taiga snow cover due to vegetation and microtopography |
| title_sort | local variability of a taiga snow cover due to vegetation and microtopography |
| topic | Snow taiga stratigraphy interception |
| url | https://www.tandfonline.com/doi/10.1080/15230430.2023.2170086 |
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