Development and Testing of a Unified Parameterization of Diabatic Heating - Proof of Concept

智力优势：首席调查员(PI)将为数值模式中的物理参数化开发一种新的方法。典型的参数化是一维模式，它使用来自更大尺度模式的输入数据来估计被估计的物理实体(例如，湍流通量)。PI将绕过一维模型方法，开发从查找表(LUT)派生并基于来自数值模型的输入变量的统一参数化。在这项研究中，首席研究员将专注于次网格尺度的非绝热加热。如果这种方法足够准确，模型的计算速度将会有显著的提高。PI将于2006年在北美选定的月份运行区域大气模拟系统(RAMS)，使用非绝热供暖的标准一维参数。积分的非绝热加热速率将与输入变量和参数一起存储和使用，以创建一个统一的LUT，其中包括每个原始标准参数对非绝热加热的影响总和。RAMS使用导出的LUT来模拟非绝热加热，将在相同的时间段内进行积分，以确定所产生的气象场是否以与原始模式相同的精度再现，但计算成本仅为原始模式的一小部分。如果这项技术被证明是准确的，PI将检查在LUT人为施加扰动时模拟气象场的变化，以评估结果对这些变化的敏感性。研究的结果之一将是准确捕捉输出空间的维度所需的LUT的大小，这取决于使用统一的LUT运行的区域模式在使用传统方法对不同的非绝热加热项使用单独的参数化时再现原始结果的能力。更广泛的影响：这项研究对科学界和社会都有广泛的影响。用LUTS替换天气和气候模式中的现有参数，成本仅为原始参数的一小部分，将在模式运行速度方面提供革命性的改进。这项研究将直接为科罗拉多大学博尔德分校的一名研究生的教育做出贡献。

Intellectual Merits: The Principal Investigator (PI) will develop a new methodology for physical parameterizations in numerical models. The typical parameterization is a one dimensional model that estimates the physical entity being estimated (e.g. turbulent fluxes) using as input data from the larger scale model. The PI will bypass the one dimensional model approach by developing a unified parameterization that would be derived from a look up table (LUT) and based on input variables from the numerical model. For this research, the Principal Investigator will concentrate on subgrid scale diabatic heating. If this approach can be made sufficiently accurate, there would be a significant gain in computational speed for the model. The PI will run the Regional Atmospheric Modeling System (RAMS) for selected months in 2006 over North America using the standard one-dimensional parameterizations for diabatic heating. The integrated diabatic heating rates will be stored and used along with the input variables and parameters to create a unified LUT that includes the sum of the effects from each original standard parameterization for the diabatic heating. RAMS, using the derived LUT to simulate the diabatic heating, will be integrated for the same time periods to determine if the resultant meteorological fields are reproduced with the same accuracy as in the original model run, but at a fraction of the computational cost. If the technique proves to be accurate, the PI will examine the variations in the simulated meteorological fields that result when perturbations are artificially imposed in the LUT in order to assess the sensitivity of the results to these variations. Among the results of the research will be the size of the LUT that is needed to accurately capture the dimensionality of the output space, as determined by the ability of the regional model run with the unified LUT to recreate the original results when the traditional approach of using separate parameterizations for the different diabatic heating terms is used. Broader Impacts: The research has broad impacts to the scientific community and to society. The replacement of existing parameterizations in weather and climate models with LUTs at a fraction of the cost of the original parameterization will provide a revolutionary improvement in model run speed. This research will directly contribute towards the education of one graduate student at the University of Colorado, Boulder.