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...
Published in: | Geoscientific Model Development |
---|---|
Main Authors: | , , , , , , , , , , , , |
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 |
id |
ftawi:oai:epic.awi.de:56085 |
---|---|
record_format |
openpolar |
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 |
op_doi |
https://doi.org/10.5194/gmd-15-3603-2022 |
container_title |
Geoscientific Model Development |
container_volume |
15 |
container_issue |
9 |
container_start_page |
3603 |
op_container_end_page |
3639 |
_version_ |
1799487112224964608 |