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DOI10.5194/hess-24-349-2020
On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost
Elshamy M.E.; Princz D.; Sapriza-Azuri G.; Abdelhamed M.S.; Pietroniro A.; Wheater H.S.; Razavi S.
发表日期2020
ISSN1027-5606
起始页码349
结束页码379
卷号24期号:1
英文摘要Permafrost is an important feature of cold-region hydrology, particularly in river basins such as the Mackenzie River basin (MRB), and it needs to be properly represented in hydrological and land surface models (H-LSMs) built into existing Earth system models (ESMs), especially under the unprecedented climate warming trends that have been observed. Higher rates of warming have been reported in high latitudes compared to the global average, resulting in permafrost thaw with wide-ranging implications for hydrology and feedbacks to climate. The current generation of H-LSMs is being improved to simulate permafrost dynamics by allowing deep soil profiles and incorporating organic soils explicitly. Deeper soil profiles have larger hydraulic and thermal memories that require more effort to initialize. This study aims to devise a robust, yet computationally efficient, initialization and parameterization approach applicable to regions where data are scarce and simulations typically require large computational resources. The study further demonstrates an upscaling approach to inform large-scale ESM simulations based on the insights gained by modelling at small scales. We used permafrost observations from three sites along the Mackenzie River valley spanning different permafrost classes to test the validity of the approach. Results show generally good performance in reproducing present-climate permafrost properties at the three sites. The results also emphasize the sensitivity of the simulations to the soil layering scheme used, the depth to bedrock, and the organic soil properties. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
语种英语
scopus关键词Climate models; Earth (planet); Rivers; Soil surveys; Soil testing; Surface measurement; Watersheds; Cold region hydrologies; Computational resources; Computationally efficient; Earth system model; Important features; Land surface modeling; Land surface models; Mackenzie river basin; Permafrost; air-soil interaction; climate feedback; hydrological regime; land surface; permafrost; soil analysis; soil profile; valley; Canada; Mackenzie River [Northwest Territories]; Northwest Territories
来源期刊Hydrology and Earth System Sciences
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/159518
作者单位Elshamy, M.E., Global Institute for Water Security, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada; Princz, D., Environment and Climate Change Canada, 11 Innovation Blvd, Saskatoon, SK, Canada; Sapriza-Azuri, G., Departamento Del Agua, Centro Universitario Regional Norte (CENUR), Litoral Norte, Salto, Uruguay; Abdelhamed, M.S., Global Institute for Water Security, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada; Pietroniro, A., Global Institute for Water Security, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada, Environment and Climate Change Canada, 11 Innovation Blvd, Saskatoon, SK, Canada; Wheater, H.S., Global Institute for Water Security, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada; Razavi, S., Global Institute for Water Security, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada
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Elshamy M.E.,Princz D.,Sapriza-Azuri G.,et al. On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost[J],2020,24(1).
APA Elshamy M.E..,Princz D..,Sapriza-Azuri G..,Abdelhamed M.S..,Pietroniro A..,...&Razavi S..(2020).On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost.Hydrology and Earth System Sciences,24(1).
MLA Elshamy M.E.,et al."On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost".Hydrology and Earth System Sciences 24.1(2020).
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