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首页> 外文期刊>Journal of hydrometeorology >Simulation of northern Eurasian local snow depth, mass, and density using a detailed snowpack model and meteorological reanalyses
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Simulation of northern Eurasian local snow depth, mass, and density using a detailed snowpack model and meteorological reanalyses

机译：使用详细的积雪模型和气象再分析对欧亚北部局部雪深，质量和密度进行模拟

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摘要

The Crocus snowpack model within the Interactions between Soil-Biosphere-Atmosphere (ISBA) land surface model was runover northern Eurasia from 1979 to 1993, using forcing data extracted from hydrometeorological datasets and meteorological reanalyses. Simulated snow depth, snow water equivalent, and density over open fields were compared with local observations from over 1000 monitoring sites, available either once a day or three times per month. The best performance is obtainedwith European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim). Provided blowing snowsublimation is taken into account, the simulations show a small bias and high correlations in terms of snow depth, snow water equivalent, and density. Local snow cover durations as well as the onset and vanishing dates of continuous snow coverarealso well reproduced. A major result is that the overall performance of the simulations is very similar to the performance of existing gridded snow products, which, in contrast, assimilate local snow depth observations. Soil temperature at 20-cm depth is reasonably well simulated. The methodology developed in this study is an efficient way to evaluate different meteorological datasets, especially in terms of snow precipitation. It reveals that the temporal disaggregation of monthly precipitation in the hydrometeorological dataset from Princeton University significantly impacts the rain-snow partitioning, deteriorating the simulation of the onset of snow cover as well as snow depth throughout the cold season.
机译：利用从水文气象数据集和气象再分析中获得的强迫数据，1979年至1993年，土壤-生物圈-大气相互作用（ISBA）地表模型中的番红花积雪模型越过了欧亚大陆北部。将空旷地区的模拟雪深，雪水当量和密度与来自1000多个监测点的本地观测值进行了比较，这些观测值每天一次或每月三次。欧洲中距离天气预报中心（ECMWF）临时重新分析（ERA-Interim）可获得最佳性能。如果考虑到吹雪的升华，模拟显示出在雪深，雪水当量和密度方面的小偏差和高相关性。还很好地再现了当地积雪的持续时间以及连续积雪的开始和消失日期。一个主要的结果是，模拟的总体性能与现有栅格化积雪产品的性能非常相似，相比之下，栅格化积雪产品吸收了局部积雪深度的观测结果。合理模拟了20厘米深度的土壤温度。在这项研究中开发的方法是一种评估不同气象数据集的有效方法，尤其是在降雪方面。它揭示了普林斯顿大学水文气象数据集中月降水量的时间分解显着影响了雨雪的划分，使整个寒冷季节积雪的开始以及积雪深度的模拟情况恶化。

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