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首页> 外文期刊>Journal of hydrometeorology >PISTE: A Snow-Physics Model Incorporating Human Factors for Groomed Ski Slopes
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PISTE: A Snow-Physics Model Incorporating Human Factors for Groomed Ski Slopes

机译：PISTE：结合人为因素修饰滑雪场的雪雪模型

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Accurately calculating snow-surface temperature and liquid water content for a groomed ski run, known as a ski piste, is crucial to the preparation of fast skis for alpine racing. Ski technicians can use forecasts of these variables to reduce ski-snow friction by applying layers of wax ahead of time. A new one-dimensional numerical Lagrangian snowpack model, Prognostic Implementation for Snow Temperature Estimation (PISTE), is presented that solves the heat-, liquid water-, and ice-budget equations to calculate these snow variables. In addition, the human effects of skiing and grooming are modeled. Meteorological measurements from a 5-day, clear-sky case study at a ski piste on Whistler Mountain, British Columbia, Canada, are prescribed to PISTE as boundary conditions. Because of a lack of interior snowpack measurements, PISTE was spun up from a dry, isothermal snowpack using repeated boundary conditions from 1 day of measurements. Initial conditions for the main model run that used the subsequent 4 days were taken from this spinup. Simulated and measured snow-surface temperatures show very good agreement, with slight cold daytime and warm nighttime biases (averaging 0.5 degrees and 1 degrees C, respectively). The modeled behavior of snowpack temperature and liquid water content profiles is consistent with previous literature having similar radiative boundary conditions. The case study indicates that PISTE is useful under simple conditions. It shows the potential to be developed into a more sophisticated model that can incorporate complex boundary conditions such as cloudiness and precipitation and can be driven by numerical weather prediction output.
机译：准确计算经过修饰的滑雪道（称为滑雪道）的雪面温度和液态水含量，对于为高山赛准备快速滑雪道至关重要。滑雪技术人员可以通过对这些变量的预测来提前施加蜡层来减少滑雪雪摩擦。提出了一种新的一维数值拉格朗日积雪模型，即雪温估计的预测实现（PISTE），该模型求解了热量，液体水和冰的预算方程，以计算这些雪变量。此外，还模拟了滑雪和修饰对人的影响。在加拿大不列颠哥伦比亚省惠斯勒山的一个滑雪场上进行的为期5天，晴朗天空的案例研究中的气象测量值被指定给PISTE作为边界条件。由于缺乏内部积雪的测量，从1天的测量开始，使用重复的边界条件将PISTE从干燥的等温积雪中甩出。从该分拆中获取了随后4天使用的主要模型运行的初始条件。模拟和测量的雪面温度显示出非常好的一致性，白天有轻微的寒冷，夜间有温暖的偏差（分别平均为0.5摄氏度和1摄氏度）。积雪温度和液态水含量曲线的模拟行为与具有相似辐射边界条件的先前文献一致。案例研究表明，PISTE在简单条件下很有用。它显示了将其开发为更复杂的模型的潜力，该模型可以包含复杂的边界条件（例如阴天和降水），并且可以由数值天气预报输出驱动。

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