Atmospheric boundary layer height detection method under non-precipitation condition and atmospheric boundary layer height detection system under non-precipitation condition
An atmospheric boundary layer and height technology, applied in computer parts, character and pattern recognition, special data processing applications, etc., can solve the problems of affecting detection accuracy, misjudgment, and little research on boundary layer height detection
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Embodiment 1
[0086] In step S1, the acquired wind profile radar detection data includes echo power, signal-to-noise ratio, spectral width, skewness, kurtosis, vertical velocity and horizontal wind field data in the time domain and frequency domain, and the data of the millimeter wave cloud measuring radar Probe data is identified as clouded or cloudless. The space-time matching of the present invention means that the detection time of the wind profile radar and the millimeter wave cloud measuring radar are the same, and the detection heights are corresponding. The millimeter-wave cloud measuring radar can directly detect whether there are clouds or no clouds at a certain vertical height, and the detection data of the wind profile radar is the data on the vertical profile of a single point upward on the ground, that is to say, there is a set of radar data at a certain height. The detection data of multiple groups of wind profile radars are used as the input feature vector samples of the sup...
Embodiment 2
[0123] This embodiment discloses a detection system for the height of the atmospheric boundary layer by wind profile radar under non-precipitation conditions, including:
[0124] The support vector machine sample acquisition module acquires multiple sets of space-time matching wind profile radar detection data and millimeter wave cloud radar detection data as the training sample data of the support vector machine;
[0125] The sample training module selects the kernel function of the support vector machine, uses the wind profile radar detection data of the sample data as the input of the support vector machine, and the detection data of the millimeter wave cloud measuring radar as the training reference value for training to obtain the cloud recognition classifier;
[0126] The scale factor adaptively determines the sample acquisition module to obtain multiple sets of wind profile radar detection data and sounding data matched by time and space, and combines the signal-to-noise...
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