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Influence of complex terrain and anthropogenic emissions on atmospheric CO2 patterns-a high-resolution numerical analysis

机译:复杂地形和人为排放对大气二氧化碳模式的影响 - 高分辨率数值分析

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摘要

The accuracy of regional or mesoscale carbon budgeting by means of inverse modelling depends strongly on the ability of the atmospheric model to capture relevant atmospheric transport processes. In order to analyze the influence of terrain-induced flow dynamics and intense local anthropogenic emissions, we present high-resolution (forward) simulations of spatio-temporal CO2 variations using a recent biosphere-atmosphere model. The selected region is characterized by complex terrain and both rural and densely populated areas. The results indicate that, in situations with weak synoptic forcing, the nocturnal near-surface CO2 distribution is strongly affected by terrain-induced turbulent kinetic energy (TKE) above mountain ridges and by local convergent downslope winds. By increasing the grid spacing from approximate to 1 to approximate to 3 km, we show that, due to the smoothed model topography, the atmospheric flow causing the CO2 heterogeneity cannot be resolved any more. Finally, we quantify the influence of intense anthropogenic CO2 sources on atmospheric CO2 concentrations. A significant anthropogenic signal can be identified around and downstream of industrial and urban areas, especially in the morning but also within a well-mixed planetary boundary layer in the daytime. The results provide valuable information for including non-background CO2 observations in mesoscale inverse modelling studies using coarser resolutions than in this study.
机译:通过逆建模的区域或Messcale碳预算算法的准确性依赖于大气模型捕获相关大气运输过程的能力。为了分析地形诱导的流动动力学和激烈的局部人为排放的影响,我们使用最近的生物圈 - 大气模型呈现高分辨率(前进)模拟的时空CO2变化。所选地区的特点是复杂地形和农村和密集地区的区域。结果表明,在薄膜胁迫下的情况下,夜间近表面二氧化碳分布受到山脊以上的地形诱导的湍流动能(TKE)和局部会聚下坡风强烈影响。通过将电网间距从大致增加到3km到3km,我们表明,由于平滑模型地形,导致CO2异质性的大气流不能再进行解决。最后,我们量化了强浓度人为CO2源对大气二氧化碳浓度的影响。可以在工业和城市地区的左右和下游鉴定出显着的人体化信号,特别是在早晨,但在白天的良好混合的行星边界层内。结果提供了在Mesoscale反逆建模研究中使用粗构分辨率的非背景CO2观察的有价值的信息,而不是本研究。

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