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首页> 外文期刊>Journal of hydrometeorology >Subgrid-Scale Variability for Thermodynamic Variables in an Offline Land Surface Prediction System
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Subgrid-Scale Variability for Thermodynamic Variables in an Offline Land Surface Prediction System

机译：离线陆面预测系统中热力学变量的亚网格尺度变异性

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This study presents a numerical analysis of the impact of the horizontal resolution on the forecast capability of the Canadian offline land surface prediction system (SPS; formerly known as GEM-Surf) forced by the 15-km Global Environmental Multiscale (GEM) atmospheric model. This system is used to quantify on a statistical basis the subgrid-scale variability of (near-)surface variables for 25-km grid spacing based on the 2.5- or 10-km SPS run at regional scale over the 2012 summer season. The model bias and the distributions characterizing the subgrid-scale variability drastically depend on the geographic areas as well as on the diurnal cycle. These results show the benefits of high-resolution land surface simulations to account for length scales that are more consistent with the scales at which the actual land surface balance is affected by the heterogeneous geophysical fields (i.e., roughness length, land-water mask, glacier mask, and soil texture). The model bias results highlight the potential of an SPS-GEM two-way coupling strategy for refining predictions near the surface through the upscaling of high-resolution surface heat fluxes to the coarser atmospheric grid spacing, with these fluxes being significantly different from those explicitly resolved at 25 km and featuring nonlinear behavior with respect to the horizontal resolution. Since the computational power of meteorological operational centers progressively increases, making it possible to run high-resolution limited-area models, solving the surface at high resolution in a surface-atmosphere fully coupled system becomes a key aspect for improving numerical weather and environmental forecast performance.
机译：这项研究提供了一种数值分析方法，该方法受15公里全球环境多尺度（GEM）大气模型的强迫，影响了水平分辨率对加拿大离线陆面预测系统（SPS;以前称为GEM-Surf）的预测能力的影响。该系统用于在2012年夏季以区域规模运行的2.5 km或10 km SPS为基础，以统计学方式量化25 km网格间距的（近）表面变量的亚网格规模变化。模型偏差和表征亚电网规模变异性的分布极大地取决于地理区域以及昼夜周期。这些结果表明，高分辨率陆地表面模拟的好处在于考虑长度尺度，该尺度与实际地面平衡受异质地球物理场（即，粗糙度长度，陆地水掩膜，冰川）影响的尺度更一致。面膜和土壤质地）。模型偏差结果凸显了SPS-GEM双向耦合策略通过将高分辨率表面热通量放大到较粗的大气网格间距来细化地表附近预测的潜力，这些通量与明显分辨出的通量有很大不同。在25公里处表现出相对于水平分辨率的非线性行为。由于气象业务中心的计算能力逐渐提高，因此可以运行高分辨率的有限区域模型，因此在地-气完全耦合系统中以高分辨率求解表面成为改善数值天气预报和环境预报性能的关键方面。

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