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Calibration of an energy balance model to simulate wintertime soil temperature, soil frost depth, and snow depth for a 14 year period in a highland area of Iran

机译:校准能量平衡模型以模拟伊朗高地14年的冬季土壤温度,土壤霜冻深度和积雪深度

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A physically-based heat and mass transfer model, CoupModel, is calibrated to simulate wintertime soil temperature, soil frost depth, and snow depth for a 14-year period in a highland area of Iran. A Monte Carlo based approach is used for calibration process based on subjective performance criteria. Sensitivity and uncertainty analyses of the model were performed by selecting 30 parameters and the model was run using 22,000 samples taken from the uncertainty range of the parameters. By using the Nash-Sutcliffe Index to evaluate the performance of the model and applying a cutoff threshold for the performance to snow depth and soil temperature, 161 behavioral simulations were recognized and considered as the accepted ensemble to represent the field conditions. Sensitivity analysis of the model revealed some parameters associated with soil evaporation, soil hydraulic properties, and snow modeling as sensitive and highly important parameters. Uncertainty analysis of the model for wintertime soil temperatures showed a reasonable agreement between simulations and observations in most cases. However, a systematic error occurred at some periods because of high uncertainty of the actual snow density and details of snow melting. Uncertainties were also due to the simplified model assumptions regarding snow thermal properties and temperature within snow cover. The snow depth at the accumulation and melting stages were described well by the model in most cases. (C) 2015 Elsevier B.V. All rights reserved.
机译:校准了基于物理的传热传质模型CoupModel,以模拟伊朗高地地区14年期间的冬季土壤温度,土壤霜冻深度和积雪深度。基于主观性能标准的基于蒙特卡洛的方法用于校准过程。通过选择30个参数进行模型的敏感性和不确定性分析,并使用从参数不确定性范围中提取的22,000个样本运行模型。通过使用Nash-Sutcliffe指数评估模型的性能,并针对雪深和土壤温度应用性能的临界值,161个行为模拟被认为并被认为是代表现场条件的整体。对模型的敏感性分析显示,与土壤蒸发,土壤水力特性和降雪模型相关的一些参数是敏感且高度重要的参数。在大多数情况下,冬季土壤温度模型的不确定性分析表明模拟和观测值之间存在合理的一致性。但是,由于实际雪密度和融雪细节的高度不确定性,有时会发生系统错误。不确定性还归因于关于积雪热特性和积雪内温度的简化模型假设。在大多数情况下,该模型很好地描述了积雪和融化阶段的积雪深度。 (C)2015 Elsevier B.V.保留所有权利。

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