Geoscientific model development · 2021 · 35 citations · 70 references
Natural ResourcesEarth SciencesHydrologyHydrologic ModelingHydrometeorologySoil ScienceHydrometeorological ModelingLand Surface ModelingModel Physics ParameterizationSnowmelt ModelingSnowpack Thermal RegimeSoil Temperature RegimeActive Layer DynamicsActive Layer Temperature RegimeModel Intercomparison StudiesMulti-model IntercomparisonParameterization SchemesPermafrost ModelingSnow Cover ModelingSnowmelt Parameterization
Abstract. Extensive and rigorous model intercomparison is of great importance before model application due to the uncertainties in current land surface models (LSMs). Without considering the uncertainties in forcing data and model parameters, this study designed an ensemble of 55 296 experiments to evaluate the Noah LSM with multi-parameterization (Noah-MP) for snow cover events (SCEs), soil temperature (ST) and soil liquid water (SLW) simulation, and investigated the sensitivity of parameterization schemes at a typical permafrost site on the Qinghai–Tibet Plateau (QTP). The results showed that Noah-MP systematically overestimates snow cover, which could be greatly resolved when adopting the sublimation from wind and a semi-implicit snow/soil temperature time scheme. As a result of the overestimated snow, Noah-MP generally underestimates ST, which is mostly influenced by the snow process. A systematic cold bias and large uncertainties in soil temperature remain after eliminating the effects of snow, particularly in the deep layers and during the cold season. The combination of roughness length for heat and under-canopy (below-canopy) aerodynamic resistance contributes to resolving the cold bias in soil temperature. In addition, Noah-MP generally underestimates top SLW. The runoff and groundwater (RUN) process dominates the SLW simulation in comparison to the very limited impacts of all other physical processes. The analysis of the model structural uncertainties and characteristics of each scheme would be constructive to a better understanding of the land surface processes in the permafrost regions of the QTP as well as to further model improvements towards soil hydrothermal regime modeling using LSMs.
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Guo‐Yue Niu, Zong‐Liang Yang, Kenneth E. Mitchell et al. · Journal of Geophysical Research Atmospheres · 2011 · 3.1K citations · Full text
A new map of permafrost distribution on the Tibetan Plateau
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Zong‐Liang Yang, Guo‐Yue Niu, Kenneth E. Mitchell et al. · Journal of Geophysical Research Atmospheres · 2011 · 847 citations · Full text