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首页> 外文期刊>Journal of Advances in Modeling Earth Systems >COnstraining ORographic Drag Effects (COORDE): A Model Comparison of Resolved and Parametrized Orographic Drag
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COnstraining ORographic Drag Effects (COORDE): A Model Comparison of Resolved and Parametrized Orographic Drag

机译:约束地图拖动效应(Coorde):解决和参数化的地形拖动的模型比较

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摘要

The parametrization of orographic drag processes is a major source of circulation uncertainty in models. The COnstraining ORographic Drag Effects (COORDE) project makes a coordinated effort to narrow this uncertainty by bringing together the modeling community to: explore the variety of orographic drag parametrizations employed in current operational models; assess the resolution sensitivity of resolved and parametrized orographic drag across models; and to validate the parametrized orographic drag in low‐resolution simulations using explicitly resolved orographic drag from high‐resolution simulations. Eleven models from eight major modeling centers are used to estimate resolved orographic drag from high‐resolution (km‐scale) simulations and parametrized orographic drag from low‐resolution simulations, typically used for seasonal forecasting (~40?km) and climate projections (~100?km). In most models, at both seasonal and climate resolutions, the total (resolved plus parametrized) orographic gravity wave drag over land is shown to be underestimated by a considerable amount (up to 50%) over the Northern and Southern Hemisphere and by more than 60% over the Middle East region, with respect to the resolved gravity wave drag estimated from km‐scale simulations. The km‐scale simulations also provide evidence that the parametrized surface stress and the parametrized low‐level orographic drag throughout the troposphere are overestimated in most models over the Middle East region, particularly at climate resolutions. Through this process‐based evaluation, COORDE provides model developers new valuable information on the current representation of orographic drag at seasonal and climate resolutions and the vertical partitioning of orographic low‐level and gravity wave?drag. Plain Language Summary Numerical models used for seasonal, climate, or ensemble atmospheric predictions typically cannot resolve mountains with horizontal scales less than a few tens to hundreds of km, which are known to affect the accuracy of these models. As a result, their impacts on the winds, known as drag, are accounted for using simplified theory and approximations, which contain many uncertainties. This work sets out to investigate these uncertainties by comparing these approximations of the drag across several atmospheric models to the drag directly modeled in high‐resolution simulations, in which more of the effects of mountains on the atmospheric flow are explicitly resolved. Results show that, in many of the models considered, the approximated mountain drag is underestimated in the upper part of the atmosphere but overestimated in the lower part of the atmosphere.
机译:地形阻力过程的参数化是模型中循环不确定性的主要来源。约束地图拖累效应(Coorde)项​​目通过将建模社区汇集在一起​​来缩小这种不确定性的协调努力:探索当前运营模式中使用的各种地形阻力参数化;评估跨模型解析和参数化的地形拖动的分辨率敏感性;并使用明确解析的高分辨率模拟验证在低分辨率模拟中验证参数化的地形拖动。来自八个主要建模中心的11个模型用于从高分辨率(KM级)模拟和来自低分辨率模拟的次数(KM级)模拟和参数化的地形拖拽,通常用于季节性预测(〜40 km)和气候预测(〜 100 km)。在大多数模型中,在季节性和气候决议中,总数(已解决的Plus参数化)的地形重力波拖在土地上被显示为北部和南半球超过60%的相当数量(高达50%)和60多个关于中东地区的百分比,关于来自km级模拟的分辨的重力波拖拉。 KM规模模拟还提供了证据表明,在中东地区的大多数模型中,整个对流层的参数化表面应力和参数化的低级地形阻力在中东地区,特别是在气候决议。通过基于过程的评估,Coorde提供了关于季节性和气候分辨率的当前表达的模型开发人员新的有价值信息,以及地形低级和重力波的垂直分区?拖动。普通语言摘要用于季节性,气候或集合大气预测的数值模型通常不能解决横向尺度小于几十到数百km的山脉,这已知会影响这些模型的准确性。结果,它们对被称为拖动的风的影响被占使用简化的理论和近似,其中包含许多不确定性。本工作规定通过将拖动跨越多个大气模型的拖动的近似值与高分辨率模拟直接建模的拖拉进行了比较来调查这些不确定性,在这种情况下明确解决了大气流中的更多山脉对大气流的影响。结果表明,在许多考虑的模型中,近似的山地阻力被低估在大气的上部,但在大气的下部高估。

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