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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Comparison of SCM and CSRM forcing data derived from the ECMWF model and from objective analysis at the ARM SGP site - art. no. 4499
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Comparison of SCM and CSRM forcing data derived from the ECMWF model and from objective analysis at the ARM SGP site - art. no. 4499

机译：从ECMWF模型和ARM SGP站点的客观分析得出的SCM和CSRM强制数据的比较-art。没有。 4499

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摘要

The large-scale forcing data diagnosed from the European Center for Medium Range Weather Forecast (ECMWF) model for driving Single-Column Models (SCMs) and Cloud System Resolving Models (CSRMs) are compared with forcing data derived using the objective variational analysis constrained by observations collected at the Atmospheric Radiation Measurement program (ARM) Southern Great Plains (SGP) site. The comparison covers the following three different synoptic conditions: a strong precipitation period dominated by subgrid scale processes during the ARM summer 1997 Intensive Operational Period (IOP), a moderate precipitation period dominated by synoptic scale processes during the spring 2000 IOP, and a nonprecipitation period during the fall 2000 IOP. In the study we demonstrate that the differences between the two forcing data sets are considerably large during the strong convective precipitation period, while they are much less during the moderate and nonprecipitation periods. By analyzing the column-integrated heat and moisture budgets we show that errors in the ECMWF-model-derived forcing are closely associated with errors in the model-predicted surface precipitation, which largely reflect deficiencies of model parameterizations. In SCM tests we show that SCM simulations are sensitive to the prescribed large-scale forcing data. The simulation errors are not well correlated between the SCM runs with the two different forcing data sets for all the three cases. Some important SCM simulated fields, such as surface precipitation, tend to follow the ECMWF model simulations rather than the observations when it is forced with the ECMWF forcing, especially for the summer case. [References: 13]
机译：从欧洲中型天气预报中心（ECMWF）模型诊断出的用于驱动单列模型（SCM）和云系统解析模型（CSRM）的大规模强迫数据与使用受以下因素约束的客观变分分析得出的强迫数据进行了比较大气辐射测量计划（ARM）南部大平原（SGP）站点收集的观测值。比较包括以下三种天气条件：ARM 1997年夏季密集运行期（IOP）期间以亚网格规模过程为主的强降水期，2000 IOP春季期间以天气尺度过程为主的中度降水期和非降水期在2000年秋季的IOP中在研究中，我们证明了在强对流降水期间这两个强迫数据集之间的差异相当大，而在中等和非降水时期则差异很小。通过分析列综合的热量和水分预算，我们表明，ECMWF模型得出的强迫中的误差与模型预测的表面降水中的误差密切相关，这在很大程度上反映了模型参数化的缺陷。在SCM测试中，我们表明SCM模拟对规定的大规模强迫数据敏感。对于所有这三种情况，在使用两个不同的强制数据集的SCM运行之间，仿真错误之间的相关性不是很好。一些重要的SCM模拟场（例如地表降水）倾向于遵循ECMWF模型的模拟，而不是遵循ECMWF强迫的观测，尤其是在夏季。 [参考：13]

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