公开(公告)号：US20130325347A1

公开(公告)日：2013-12-05

申请号：US13993684

申请日：2011-12-13

Applicant: Michela Giorgetti ,  Giuseppe Giunta ,  Raffaele Salerno ,  Roberto Vernazza

Inventor： Michela Giorgetti ,  Giuseppe Giunta ,  Raffaele Salerno ,  Roberto Vernazza

IPC: G01W1/00

CPC classification number: G01W1/00 ,  G01K2201/00 ,  G01W1/10

Abstract: A method for medium-long term meteorological forecast starting from meteorological parameters of a large-scale geographical area having a predefined extent. The method: decomposes the meteorological parameters of the large-scale geographical area into a base component and a part arising as a variation on a regional scale, wherein the variation on a regional scale is defined as the difference between the large-scale geographical area and the base area; determines the temperature close to a surface of a base area, starting from the parameters available on the large-scale geographical area, using an empirical-statistical model; determines deviation in the meteorological parameters on a regional scale, starting from the parameters available on the large-scale geographical area, using a dynamic numerical model; effects combination, through an applicative model, of the empirical-statistical model and the dynamic numerical model to obtain the medium and long-term temperature forecast.

Abstract translation: 从具有预定义范围的大型地理区域的气象参数开始的中长期气象预报方法。 方法：将大型地理区域的气象参数分解为区域尺度变化的基础部分和部分，其中区域尺度的变化定义为大型地理区域与 基地区 使用经验统计模型，从大规模地理区域可用的参数开始，确定靠近基地区表面的温度; 使用动态数值模型，从大规模地理区域可用的参数开始，确定区域尺度上气象参数的偏差; 效应组合，通过应用模型，经验统计模型和动态数值模型获得中长期温度预报。