首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Introduction to CAUSES: Description ofWeather and Climate Models and Their Near-Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains
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Introduction to CAUSES: Description ofWeather and Climate Models and Their Near-Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains

机译:原因介绍:天气预造醉和气候模型及其近5天的近地表温度误差在南方大平原附近的5天Hindcasts

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We introduce the Clouds Above the United States and Errors at the Surface (CAUSES) project with its aim of better understanding the physical processes leading to warm screen temperature biases over the American Midwest in many numerical models. In this first of four companion papers, 11 different models, from nine institutes, perform a series of 5 day hindcasts, each initialized from reanalyses. After describing the common experimental protocol and detailing each model configuration, a gridded temperature data set is derived from observations and used to show that all the models have a warm bias over parts of the Midwest. Additionally, a strong diurnal cycle in the screen temperature bias is found in most models. In some models the bias is largest around midday, while in others it is largest during the night. At the Department of Energy Atmospheric Radiation Measurement Southern Great Plains (SGP) site, the model biases are shown to extend several kilometers into the atmosphere. Finally, to provide context for the companion papers, in which observations from the SGP site are used to evaluate the different processes contributing to errors there, it is shown that there are numerous locations across the Midwest where the diurnal cycle of the error is highly correlated with the diurnal cycle of the error at SGP. This suggests that conclusions drawn from detailed evaluation of models using instruments located at SGP will be representative of errors that are prevalent over a larger spatial scale.
机译:我们介绍了美国的云层和表面(原因)项目的错误,其目的是更好地了解在许多数值模型中导致美国中西部的温暖屏幕温度偏差的物理过程。在第一个伴随论文中,11种不同的模型,从九所研究所,执行一系列5天的Hindcasts,每个人都初始化了Reanalyses。在描述常见的实验方案并详细说明每个模型配置之后,网格化的温度数据集源自观察,并用于表明所有模型在中西部的部分具有温暖的偏差。另外,在大多数模型中发现了屏幕温度偏差中的强大昼夜循环。在某些型号中,偏差是午间中最大的,而在其他型号中,夜间是最大的。在能源大气辐射测量南部大平原(SGP)现场,模型偏差显示为大气进入大气中的几公里。最后,为伴随文件提供上下文,其中来自SGP网站的观察用于评估有助于错误的不同过程,显示中西部存在许多位置,其中误差的昼夜循环高度相关随着SGP误差的昼夜周期。这表明,使用位于SGP的仪器的模型详细评估得出的结论将代表在更大的空间尺度上普遍的误差。

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