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

Authors :
Smith, Noah D.
Chadburn, Sarah E.
Burke, Eleanor J.
Aas, Kjetil Schanke
Althuizen, Inge H. J.
Boike, Julia
Christiansen, Casper Tai
Etzelmüller, Bernd
Friborg, Thomas
Lee, Hanna
Rumbold, Heather
Turton, Rachael
Westermann, Sebastian
Smith, Noah D.
Chadburn, Sarah E.
Burke, Eleanor J.
Aas, Kjetil Schanke
Althuizen, Inge H. J.
Boike, Julia
Christiansen, Casper Tai
Etzelmüller, Bernd
Friborg, Thomas
Lee, Hanna
Rumbold, Heather
Turton, Rachael
Westermann, Sebastian
Source :
Smith , N D , Chadburn , S E , Burke , E J , Aas , K S , Althuizen , I H J , Boike , J , Christiansen , C T , Etzelmüller , B , Friborg , T , Lee , H , Rumbold , H , Turton , R & Westermann , S 2021 ' Explicitly modelling microtopography in permafrost landscapes in a land-surface model (JULES vn5.4_microtopography) ' .
Publication Year :
2021

Abstract

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. We evaluate the model against available spatially resolved observations at four sites, gauge the importance of explicitly representing microtopography for modelling methane emissions and quantify the relative importance of model processes and the model’s sensitivity its parameters. Tiles are coupled by lateral flows of water, heat and redistribution of snow. A surface water store is added to represent ponding. The model is parametrised using characteristic dimensions of landscape features at sites. 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. For the two palsa sites, it is found that drainage needs to be impeded from the lower tile, representing the non-permafrost mire, to achieve the observed soil saturation. This demonstrates the need for the landscape-scale drainage to be correctly modelled. Causes of moisture heterogeneity between tiles are decreased runoff from the low tile, differences in snowmelt, and high to low-tile water flow. Unsaturated flows between tiles are negligible, suggesting the adequacy of simpler water-table based models of lateral flow in wetland environments. The modelled differences in snow depths and soil moistures betwee

Details

Database :
OAIster
Journal :
Smith , N D , Chadburn , S E , Burke , E J , Aas , K S , Althuizen , I H J , Boike , J , Christiansen , C T , Etzelmüller , B , Friborg , T , Lee , H , Rumbold , H , Turton , R & Westermann , S 2021 ' Explicitly modelling microtopography in permafrost landscapes in a land-surface model (JULES vn5.4_microtopography) ' .
Notes :
application/pdf, application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1382517897
Document Type :
Electronic Resource