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MEDIUM-LONG TERM METEOROLOGICAL FORECASTING METHOD AND SYSTEM

机译:中长期气象预报方法和系统

摘要

A method is described for a medium-long term meteorological forecast starting from the meteorological parameters of a large-scale geographical area (SG) having a predefined extent. The method comprises the following phases: decomposing the meteorological parameters of the large-scale geographical area (SG) into a base component and a part which arises as a variation on a regional scale (SR), wherein the variation on a regional scale (SR) is defined as the difference between the large-scale geographical area (SG) and the base area; determining the temperature close to the surface of the base area, starting from the parameters available on the large- scale geographical area (SG), using an empirical- statistical model (statistical down-scaling); determining the deviation in the meteorological parameters on a regional scale (SR), starting from the parameters available on the large-scale geographical area (SG), using a dynamic numerical model (dynamic down-scaling); effecting the combination (ensemble down-scaling), through an applicative model, of the empirical-statistical model (statistical down-scaling) and the dynamic numerical model (dynamic down-scaling) to obtain the medium and long-term temperature forecast.
机译:描述了一种用于中长期气象预报的方法,该方法从具有预定范围的大规模地理区域(SG)的气象参数开始。该方法包括以下阶段:将大规模地理区域(SG)的气象参数分解为基本分量和一部分,该部分作为区域尺度(SR)的变化而出现,其中,区域尺度的变化(SR) )定义为大型地理区域(SG)与基准区域之间的差异;使用经验统计模型(统计缩小比例),从大型地理区域(SG)上可用的参数开始,确定靠近基础区域表面的温度;使用动态数值模型(动态缩减),从大型地理区域(SG)上可用的参数开始,确定区域尺度(SR)上气象参数的偏差;通过应用模型将经验统计模型(统计缩减)与动态数值模型(动态缩减)结合起来(整体缩减),以获得中长期温度预报。

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