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首页> 外文期刊>Monthly Weather Review >Evaluation of the Soil Model of the Hydro-Thermodynamic Soil-Vegetation Scheme by Observations and a Theoretically Advanced Numerical Scheme
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Evaluation of the Soil Model of the Hydro-Thermodynamic Soil-Vegetation Scheme by Observations and a Theoretically Advanced Numerical Scheme

机译:水热力学土壤植被方案土壤模型的观测与理论改进数值方案的评估

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摘要

The soil module of the Hydro-Thermodynamic Soil-Vegetation Scheme is evaluated by soil temperature observations and independent theoretical numerical results. To gain the latter, a Galerkin weak finite-element (GWFE) scheme is implemented for solving the heat and water balance equations that are originally solved by a Crank-Nicholson finite-difference (CNFD) scheme. The GWFE scheme captures discontinuities well and has a high phase fidelity. When/where frozen ground thaws and under moderate advec-tion-dominated regimes, peak temperatures simulated with the CNFD scheme are up to seven days off compared with observations and the results of the GWFE scheme. If freeze-thaw cycles repeat for more than a month, CNFD predictions will oscillate ±1 K around the observations but will converge to the observations and results of the GWFE scheme afterward. Under diffusion-dominated regimes, CNFD runs perform well with similar quality to the GWFE predictions. Comparisons of the results of both numerical schemes substantiate that the long spinup time of CNFD simulations results from the numerical scheme and not from the initialization procedure and that the diffusive nature of the CNFD scheme and not parameterized physical processes causes phase shifts. GWFE requires 1.6-2.8 more CPU time than CNFD in this study. Unless CPU time is an issue, the GWFE scheme is recommended because of its high phase fidelity and short spinup.
机译:通过土壤温度观测和独立的理论数值结果对水热力土壤植被方案的土壤模块进行了评估。为了获得后者,实施了Galerkin弱有限元(GWFE)方案来求解最初由Crank-Nicholson有限差分(CNFD)方案求解的热量和水平衡方程。 GWFE方案很好地捕获了不连续性,并具有很高的相位保真度。当/在冻土融化的地方,在中等平流控制下,与观测和GWFE计划的结果相比,CNFD计划模拟的峰值温度最多可以减少7天。如果冻融循环重复一个月以上,CNFD的预测将在观测值附近波动±1 K,但随后将收敛到观测值和GWFE方案的结果。在以扩散为主的机制下,CNFD运行效果良好,质量与GWFE预测相似。两种数值方案结果的比较证实,CNFD模拟的长加速时间是由数值方案而不是初始化过程引起的,并且CNFD方案的扩散性质和未参数化的物理过程会引起相移。在这项研究中,GWFE比CNFD需要1.6-2.8倍的CPU时间。除非CPU时间成为问题,否则建议使用GWFE方案,因为它具有较高的相位保真度和较短的加速时间。

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