Data for the manuscript of “Evaluation of parameterization schemes for matric potential in frozen soil in land surface models: A modeling perspective”
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These datasets provide all simulated results of the manuscript “Evaluation of parameterization schemes for matric potential in frozen soil in land surface models: A modeling perspective”. In this study, four modified SHAW models which incorporate different soil matric potential (SMP) schemes and driven with the same forcing data at a typical permafrost observation site, the Tanggula site at Qinghai-Tibet plateau of China, for the purpose of comparing and evaluating the performance of the SMP schemes in simulating the heat and water transport processes in permafrost regions. The four SMP scenarios include: (1) Baseline: the SHAW model with the original Campbell SMP scheme without considering the effects of soil ice; (2) P: a modified SHAW model that considers the soil ice effect of effective porosity on the SMP; (3) ICE: a modified SHAW model that considers the effect of cryosuction on the SMP; (4) P+ICE: a modified SHAW model that combines both the effects of effective porosity and cryosuction in the SMP equation. The parameter uncertainties during performance assessment were also considered by basing this work on 1000 random parameter sets for the SMP-related parameters generated by the Latin hypercube sampling method. Through comparing the simulations of the four scenarios, the performance of each SMP scheme can be evaluated.
本数据集包含论文《陆面模型中冻土基质势参数化方案评估:基于建模视角(Evaluation of parameterization schemes for matric potential in frozen soil in land surface models: A modeling perspective)》的全部模拟结果。本研究以中国青藏高原唐古拉典型多年冻土观测站为研究区域,采用同一套气象驱动数据驱动4种嵌入不同土壤基质势(soil matric potential, SMP)参数化方案的改进版SHAW模型,旨在对比评估各SMP方案在模拟多年冻土区水热运移过程中的表现。4种SMP方案场景分别为:
(1)基准组(Baseline):采用未考虑土壤冰效应的原始Campbell SMP方案的SHAW模型;
(2)方案P:考虑有效孔隙度的土壤冰效应对SMP影响的改进版SHAW模型;
(3)方案ICE:考虑冻吸力对SMP影响的改进版SHAW模型;
(4)方案P+ICE:在SMP方程中同时结合有效孔隙度与冻吸力效应的改进版SHAW模型。
本研究通过拉丁超立方抽样(Latin hypercube sampling)法生成1000组SMP相关参数的随机参数集,以此考量性能评估过程中的参数不确定性。通过对4种场景的模拟结果进行对比,即可评估各SMP方案的模拟性能。
创建时间:
2022-09-04



