Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)

Microtopography can be a key driver of heterogeneity in the ground thermal and hydrological regime of permafrost landscapes. In turn, this heterogeneity can influence plant communities, methane fluxes, and the initiation of abrupt thaw processes. Here we have implemented a two-tile representation of...

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Published in:Geoscientific Model Development
Main Authors: Smith, Noah D., Burke, Eleanor J., Schanke Aas, Kjetil, Althuizen, Inge H.J., Boike, Julia, Christiansen, Casper Tai, Etzelmüller, Bernd, Friborg, Thomas, Lee, Hanna, Rumbold, Heather, Turton, Rachael H., Westermann, Sebastian, Chadburn, Sarah E.
Format: Article in Journal/Newspaper
Language:English
Published: EGU 2022
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/532934/
https://nora.nerc.ac.uk/id/eprint/532934/1/N532934JA.pdf
https://doi.org/10.5194/gmd-15-3603-2022
id ftnerc:oai:nora.nerc.ac.uk:532934
record_format openpolar
spelling ftnerc:oai:nora.nerc.ac.uk:532934 2023-05-15T17:54:26+02:00 Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) Smith, Noah D. Burke, Eleanor J. Schanke Aas, Kjetil Althuizen, Inge H.J. Boike, Julia Christiansen, Casper Tai Etzelmüller, Bernd Friborg, Thomas Lee, Hanna Rumbold, Heather Turton, Rachael H. Westermann, Sebastian Chadburn, Sarah E. 2022-05-06 text http://nora.nerc.ac.uk/id/eprint/532934/ https://nora.nerc.ac.uk/id/eprint/532934/1/N532934JA.pdf https://doi.org/10.5194/gmd-15-3603-2022 en eng EGU https://nora.nerc.ac.uk/id/eprint/532934/1/N532934JA.pdf Smith, Noah D.; Burke, Eleanor J.; Schanke Aas, Kjetil; Althuizen, Inge H.J.; Boike, Julia; Christiansen, Casper Tai; Etzelmüller, Bernd; Friborg, Thomas; Lee, Hanna; Rumbold, Heather; Turton, Rachael H.; Westermann, Sebastian; Chadburn, Sarah E. 2022 Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography). Geoscientific Model Development, 15 (9). 3603-3639. https://doi.org/10.5194/gmd-15-3603-2022 <https://doi.org/10.5194/gmd-15-3603-2022> cc_by_4 CC-BY Earth Sciences Publication - Article PeerReviewed 2022 ftnerc https://doi.org/10.5194/gmd-15-3603-2022 2023-02-04T19:53:25Z Microtopography can be a key driver of heterogeneity in the ground thermal and hydrological regime of permafrost landscapes. In turn, this heterogeneity can influence plant communities, methane fluxes, and the initiation of abrupt thaw processes. Here we have implemented a two-tile representation of microtopography in JULES (the Joint UK Land Environment Simulator), where tiles are representative of repeating patterns of elevation difference. Tiles are coupled by lateral flows of water, heat, and redistribution of snow, and a surface water store is added to represent ponding. Simulations are performed of two Siberian polygon sites, (Samoylov and Kytalyk) and two Scandinavian palsa sites (Stordalen and Iškoras). The model represents the observed differences between greater snow depth in hollows vs. raised areas well. The model also improves soil moisture for hollows vs. the non-tiled configuration (“standard JULES”) though the raised tile remains drier than observed. The modelled differences in snow depths and soil moisture between tiles result in the lower tile soil temperatures being warmer for palsa sites, as in reality. However, when comparing the soil temperatures for July at 20 cm depth, the difference in temperature between tiles, or “temperature splitting”, is smaller than observed (3.2 vs. 5.5 ∘C). Polygons display small (0.2 ∘C) to zero temperature splitting, in agreement with observations. Consequently, methane fluxes are near identical (+0 % to 9 %) to those for standard JULES for polygons, although they can be greater than standard JULES for palsa sites (+10 % to 49 %). Through a sensitivity analysis we quantify the relative importance of model processes with respect to soil moisture and temperatures, identifying which parameters result in the greatest uncertainty in modelled temperature. Varying the palsa elevation between 0.5 and 3 m has little effect on modelled soil temperatures, showing that using only two tiles can still be a valid representation of sites with a range of palsa elevations. Mire ... Article in Journal/Newspaper palsa permafrost Natural Environment Research Council: NERC Open Research Archive Jules ENVELOPE(140.917,140.917,-66.742,-66.742) Stordalen ENVELOPE(7.337,7.337,62.510,62.510) Iškoras ENVELOPE(25.369,25.369,69.297,69.297) Geoscientific Model Development 15 9 3603 3639
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language English
topic Earth Sciences
spellingShingle Earth Sciences
Smith, Noah D.
Burke, Eleanor J.
Schanke Aas, Kjetil
Althuizen, Inge H.J.
Boike, Julia
Christiansen, Casper Tai
Etzelmüller, Bernd
Friborg, Thomas
Lee, Hanna
Rumbold, Heather
Turton, Rachael H.
Westermann, Sebastian
Chadburn, Sarah E.
Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
topic_facet Earth Sciences
description Microtopography can be a key driver of heterogeneity in the ground thermal and hydrological regime of permafrost landscapes. In turn, this heterogeneity can influence plant communities, methane fluxes, and the initiation of abrupt thaw processes. Here we have implemented a two-tile representation of microtopography in JULES (the Joint UK Land Environment Simulator), where tiles are representative of repeating patterns of elevation difference. Tiles are coupled by lateral flows of water, heat, and redistribution of snow, and a surface water store is added to represent ponding. Simulations are performed of two Siberian polygon sites, (Samoylov and Kytalyk) and two Scandinavian palsa sites (Stordalen and Iškoras). The model represents the observed differences between greater snow depth in hollows vs. raised areas well. The model also improves soil moisture for hollows vs. the non-tiled configuration (“standard JULES”) though the raised tile remains drier than observed. The modelled differences in snow depths and soil moisture between tiles result in the lower tile soil temperatures being warmer for palsa sites, as in reality. However, when comparing the soil temperatures for July at 20 cm depth, the difference in temperature between tiles, or “temperature splitting”, is smaller than observed (3.2 vs. 5.5 ∘C). Polygons display small (0.2 ∘C) to zero temperature splitting, in agreement with observations. Consequently, methane fluxes are near identical (+0 % to 9 %) to those for standard JULES for polygons, although they can be greater than standard JULES for palsa sites (+10 % to 49 %). Through a sensitivity analysis we quantify the relative importance of model processes with respect to soil moisture and temperatures, identifying which parameters result in the greatest uncertainty in modelled temperature. Varying the palsa elevation between 0.5 and 3 m has little effect on modelled soil temperatures, showing that using only two tiles can still be a valid representation of sites with a range of palsa elevations. Mire ...
format Article in Journal/Newspaper
author Smith, Noah D.
Burke, Eleanor J.
Schanke Aas, Kjetil
Althuizen, Inge H.J.
Boike, Julia
Christiansen, Casper Tai
Etzelmüller, Bernd
Friborg, Thomas
Lee, Hanna
Rumbold, Heather
Turton, Rachael H.
Westermann, Sebastian
Chadburn, Sarah E.
author_facet Smith, Noah D.
Burke, Eleanor J.
Schanke Aas, Kjetil
Althuizen, Inge H.J.
Boike, Julia
Christiansen, Casper Tai
Etzelmüller, Bernd
Friborg, Thomas
Lee, Hanna
Rumbold, Heather
Turton, Rachael H.
Westermann, Sebastian
Chadburn, Sarah E.
author_sort Smith, Noah D.
title Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
title_short Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
title_full Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
title_fullStr Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
title_full_unstemmed Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
title_sort explicitly modelling microtopography in permafrost landscapes in a land surface model (jules vn5.4_microtopography)
publisher EGU
publishDate 2022
url http://nora.nerc.ac.uk/id/eprint/532934/
https://nora.nerc.ac.uk/id/eprint/532934/1/N532934JA.pdf
https://doi.org/10.5194/gmd-15-3603-2022
long_lat ENVELOPE(140.917,140.917,-66.742,-66.742)
ENVELOPE(7.337,7.337,62.510,62.510)
ENVELOPE(25.369,25.369,69.297,69.297)
geographic Jules
Stordalen
Iškoras
geographic_facet Jules
Stordalen
Iškoras
genre palsa
permafrost
genre_facet palsa
permafrost
op_relation https://nora.nerc.ac.uk/id/eprint/532934/1/N532934JA.pdf
Smith, Noah D.; Burke, Eleanor J.; Schanke Aas, Kjetil; Althuizen, Inge H.J.; Boike, Julia; Christiansen, Casper Tai; Etzelmüller, Bernd; Friborg, Thomas; Lee, Hanna; Rumbold, Heather; Turton, Rachael H.; Westermann, Sebastian; Chadburn, Sarah E. 2022 Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography). Geoscientific Model Development, 15 (9). 3603-3639. https://doi.org/10.5194/gmd-15-3603-2022 <https://doi.org/10.5194/gmd-15-3603-2022>
op_rights cc_by_4
op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/gmd-15-3603-2022
container_title Geoscientific Model Development
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