Near-surface wind speed statistical downscaling correction method based on relative slope length

Abstract

The invention discloses a near-surface wind speed statistical downscaling correction method based on relative slope length, which comprises the following steps: step 1, downloading WARMS mode data inreal time, defining and calculating the relative slope length and other topographic parameters by combining topographic data used by the mode, and outputting topographic parameter files, step 2, downloading CIMISS actually measured meteorological data in real time, searching WARMS mode forecasting data corresponding to the actual measurement data, and interpolating a mode high-low altitude forecasting product with the resolution of 9km and a topographic parameter file to each station in the actual measurement data; step 3, integrating interpolation files of each forecast time limit in the current month once a month; and 4, correcting the 10m wind speed forecasted by the monthly mode by using the correction model obtained in the step 3. According to the near-surface wind speed statistics downscaling correction method based on the relative slope length, the relative slope length mode is adopted, the terrain elevation and the terrain form are considered, the concept of the relative positions of the grid points in the mountainous region can be reflected, and the terrain characteristics are quantitatively described.

Description

technical field [0001] The invention relates to the technical field of meteorological calculations, in particular to a statistical downscaling correction method for near-surface wind speed based on relative slope length. Background technique [0002] The correction methods of model forecast wind speed can be divided into dynamic correction and statistical correction. The dynamic correction scheme is based on a further understanding of the physical mechanism of the atmosphere, and the accuracy of the forecast can be improved by improving the physical parameterization scheme. For example, Jiménez et al. (2013) introduced the operator Δ with terrain height 2 h, etc., so that the model considers the terrain effect of the sub-grid more perfectly. The statistical correction scheme mainly adopts the linear mathematical statistical method, based on a large amount of historical data, establishes a statistical correction model including various correction factors, and performs real-...

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Problems solved by technology

Although the description of the terrain in this patent method is more accurate, it also increases the number of regression factors in the revised model and increases the instability of the revised model

In addition to slope and aspect, many studies have shown that the acceleration effect of mountains has a significant impact on near-surface wind speed, and the acceleration effect is not the same in different positions of the mountain (Li Zhengliang et al., 2010; Shen Guohui et al., 2020), but At present, many studies and patents have not introduced this influence mechanism into the correction of near-surface wind speed.

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