Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021GL093306 |
Inferring permafrost active layer thermal properties from numerical model optimization | |
Jelte G.H. de Bruin; Victor F. Bense; Martine J. van der Ploeg | |
2021-07-16 | |
发表期刊 | Geophysical Research Letters
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出版年 | 2021 |
英文摘要 | Permafrost has become increasingly unstable as a result of surface warming, therefore it is crucial to improve our understanding of permafrost spatiotemporal dynamics to assess the impact of active layer thickening on future hydrogeological processes. However, direct determinations of permafrost active-layer thermal properties are few, resulting in large uncertainty in forecasts of active layer thickness. To assess how to reduce the uncertainty without expanding monitoring efforts, a total of 1728 numerical 1D models were compared using three error measures against observed active layer temperature data from the Qinghai-Tibetan Plateau. Resulting optimized parameter values varied depending on the error measure used, but agree with reported ones: bulk volumetric heat capacity is 1.82-1.94 |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/333961 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Jelte G.H. de Bruin,Victor F. Bense,Martine J. van der Ploeg. Inferring permafrost active layer thermal properties from numerical model optimization[J]. Geophysical Research Letters,2021. |
APA | Jelte G.H. de Bruin,Victor F. Bense,&Martine J. van der Ploeg.(2021).Inferring permafrost active layer thermal properties from numerical model optimization.Geophysical Research Letters. |
MLA | Jelte G.H. de Bruin,et al."Inferring permafrost active layer thermal properties from numerical model optimization".Geophysical Research Letters (2021). |
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