Inferring Permafrost Active Layer Thermal Properties From Numerical Model Optimization
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 act...
| Published in: | Geophysical Research Letters |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://research.wur.nl/en/publications/inferring-permafrost-active-layer-thermal-properties-from-numeric https://doi.org/10.1029/2021GL093306 |
| Summary: | 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 1,728 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 (Formula presented.) K, bulk thermal conductivity 1.0–1.2 W/m K and porosity 0.25–0.45 (Formula presented.). The active layer thickening rate varied significantly for the three error measures, as demonstrated by a (Formula presented.) years thawing time-lag between the error measures over a 100 years modeling period. |
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