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 HJ, 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:unknown
Published: 2022
Subjects:
Online Access:https://epic.awi.de/id/eprint/56085/
https://epic.awi.de/id/eprint/56085/1/gmd-15-3603-2022.pdf
https://doi.org/10.5194/gmd-15-3603-2022
https://hdl.handle.net/10013/epic.7a51e974-86d9-49fc-9bb1-7b0f23b8fa61
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spelling ftawi:oai:epic.awi.de:56085 2024-05-19T07:46:52+00:00 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 HJ Boike, Julia Christiansen, Casper Tai Etzelmüller, Bernd Friborg, Thomas Lee, Hanna Rumbold, Heather Turton, Rachael H Westermann, Sebastian Chadburn, Sarah E 2022-05-06 application/pdf https://epic.awi.de/id/eprint/56085/ https://epic.awi.de/id/eprint/56085/1/gmd-15-3603-2022.pdf https://doi.org/10.5194/gmd-15-3603-2022 https://hdl.handle.net/10013/epic.7a51e974-86d9-49fc-9bb1-7b0f23b8fa61 unknown https://epic.awi.de/id/eprint/56085/1/gmd-15-3603-2022.pdf Smith, N. D. , Burke, E. J. , Schanke Aas, K. , Althuizen, I. H. , Boike, J. orcid:0000-0002-5875-2112 , Christiansen, C. T. , Etzelmüller, B. , Friborg, T. , Lee, H. , Rumbold, H. , Turton, R. H. , Westermann, S. and Chadburn, S. E. (2022) Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) , Geoscientific Model Development, 15 (9), pp. 3603-3639 . doi:10.5194/gmd-15-3603-2022 <https://doi.org/10.5194/gmd-15-3603-2022> , hdl:10013/epic.7a51e974-86d9-49fc-9bb1-7b0f23b8fa61 EPIC3Geoscientific Model Development, 15(9), pp. 3603-3639, ISSN: 1991-9603 Article isiRev 2022 ftawi https://doi.org/10.5194/gmd-15-3603-2022 2024-04-23T23:38:07Z 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 Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Geoscientific Model Development 15 9 3603 3639
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
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 HJ
Boike, Julia
Christiansen, Casper Tai
Etzelmüller, Bernd
Friborg, Thomas
Lee, Hanna
Rumbold, Heather
Turton, Rachael H
Westermann, Sebastian
Chadburn, Sarah E
spellingShingle Smith, Noah D
Burke, Eleanor J
Schanke Aas, Kjetil
Althuizen, Inge HJ
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)
author_facet Smith, Noah D
Burke, Eleanor J
Schanke Aas, Kjetil
Althuizen, Inge HJ
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)
publishDate 2022
url https://epic.awi.de/id/eprint/56085/
https://epic.awi.de/id/eprint/56085/1/gmd-15-3603-2022.pdf
https://doi.org/10.5194/gmd-15-3603-2022
https://hdl.handle.net/10013/epic.7a51e974-86d9-49fc-9bb1-7b0f23b8fa61
genre palsa
permafrost
genre_facet palsa
permafrost
op_source EPIC3Geoscientific Model Development, 15(9), pp. 3603-3639, ISSN: 1991-9603
op_relation https://epic.awi.de/id/eprint/56085/1/gmd-15-3603-2022.pdf
Smith, N. D. , Burke, E. J. , Schanke Aas, K. , Althuizen, I. H. , Boike, J. orcid:0000-0002-5875-2112 , Christiansen, C. T. , Etzelmüller, B. , Friborg, T. , Lee, H. , Rumbold, H. , Turton, R. H. , Westermann, S. and Chadburn, S. E. (2022) Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) , Geoscientific Model Development, 15 (9), pp. 3603-3639 . doi:10.5194/gmd-15-3603-2022 <https://doi.org/10.5194/gmd-15-3603-2022> , hdl:10013/epic.7a51e974-86d9-49fc-9bb1-7b0f23b8fa61
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container_title Geoscientific Model Development
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