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

A near-ground, downscaling technology, applied in the field of meteorological computing, can solve the problems of increasing the number of regression factors of the corrected model, increasing the instability of the corrected model, etc., to achieve the effect of improving forecasting ability and high degree of freedom

Active Publication Date: 2021-02-12
SHANGHAI TYPHOON INST CMA
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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

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

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Embodiment Construction

[0040] The present invention will be described in further detail below in conjunction with the embodiments given in the accompanying drawings.

[0041] refer to Figures 1 to 5 As shown, in this embodiment, a statistical downscaling correction method of near-surface wind speed based on the slope length first needs to define the slope length, and after the slope length is defined, the following steps are performed:

[0042] Step 1, download CIMISS measured meteorological data in real time;

[0043] Step 2, download the WARMS model data in real time, and combine the terrain data used in the model to calculate the terrain parameters and output the terrain parameter files;

[0044] Step 3: According to the measured data, the corresponding model forecast data and terrain parameters, train the statistical correction relationship, obtain the correction model, and correct the model forecast wind speed. The details of the above are as follows:

[0045] Definition of slope length

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Abstract

The invention discloses a near-surface wind speed statistical downscaling correction method based on a slope length. The method comprises the following steps: step 1, downloading CIMISS actual measurement meteorological data in real time; 2, downloading WARMS mode data in real time, calculating topographic parameters in combination with topographic data used by the mode, and outputting a topographic parameter file; and 3, according to the actual measurement data, the corresponding mode forecast data and the topographic parameters, training a statistical correction relation to obtain a correction model, and correcting the mode forecast wind speed. According to the near-surface wind speed statistical downscaling correction method based on the slope length, through the arrangement of the first step, the second step and the third step, the forecasting capacity of a mode near-surface wind field under the complex terrain can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of meteorological calculations, in particular to a method for downscaling and correcting near-surface wind speed statistics based on 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-time f...

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Application Information

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IPC IPC(8): G06F17/18
CPCG06F17/18Y02A90/10
Inventor 汤胜茗薛文博余晖
Owner SHANGHAI TYPHOON INST CMA
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