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The Meteorological GlobalModel GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of Experimental Use for Medium-Range Weather Forecasts

机译:意大利ISAC-CNR的气象全球模式GLOBO在1.5年实验中用于中程天气预报的评估

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Since August 2009, the GLOBOatmospheric general circulation model has been running experimentally at the Institute of Atmospheric Sciences and Climate (ISAC) of the National Council of Research of Italy. GLOBO is derived from the Bologna Limited Area Model (BOLAM), a gridpoint limited-area meteorological model that was developed at the same institute and that has been extended to the entire earth atmosphere. The main dynamical features and physical parameterizations of GLOBO are presented. Starting from initial conditions obtained from the analysis of the NCEP Global Forecast System (GFS) model valid at 0000 UTC, 6-day forecasts with average horizontal resolution of 32 km were performed on a daily basis and in real time. The assessment of the forecast skill during the 1.5-yr period included the calculation of the monthly averaged root-mean-square errors (model prediction versus gridded analyses) of geopotential height at 500 hPa and mean sea level pressure for the northern and southern extratropics, performed accordingly to WMO Commission for Basic Systems (CBS) standards. The verification results are compared with models from other global data processing and forecasting system centers, as are available in the literature. The GLOBOskill for medium-range forecasts turns out to be comparable to that of the above models. The lack of analyses based on model forecasts and data assimilation is likely to penalize the scores for shorter-term forecasts.
机译:自2009年8月以来,GLOBO大气总循环模型已经在意大利国家研究委员会大气科学与气候研究所(ISAC)进行了实验。 GLOBO源自博洛尼亚有限区域模型(BOLAM),该模型是在同一研究所开发的并已扩展到整个地球大气层的网格点有限区域气象模型。介绍了GLOBO的主要动力学特征和物理参数。从对NCEP全球预报系统(GFS)模型进行分析得出的初始条件开始,该模型在0000 UTC生效,每天进行每日6天的预报,平均水平分辨率为32 km。在1.5年的时间里,对预报技能的评估包括计算500 hPa的地势高度的月平均均方根误差(模型预测与网格分析)以及北部和南部温带地区的平均海平面压力,符合WMO基本系统委员会(CBS)标准。如文献中提供的,将验证结果与其他全球数据处理和预测系统中心的模型进行比较。事实证明,GLOBOskill可以与上述模型进行比较。缺乏基于模型预测和数据同化的分析可能会对短期预测的分数造成不利影响。

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