Chengdu University of Information Technology

Hongping Shu

Yan Chen

Fei Luo

Wenjie Zhou

Tiangui Xiao

Jianhong Gan

Wendong Hu

Yanqiong Hao

Yongkai Zhang

Jingyi Tao

Balin Xu

Huahong Li

Jian Shao

Ying Zhang

Xiaohang Wen

Tao Zhang

Chao Wang

Juzhang Ren

Yaqiang Wang

Taisong Xiong

Yixue Deng

Qiyang Peng

Chengchao Li

An automatic recognition method for a dry quasi-stationary front in Kunming, Yunnan, China is provided. The automatic recognition method includes: reading data; calculating, by a differential method, a temperature lapse rate between each layer of each point from a ground surface to 650 hPa, and acquiring a maximum inversion trend value; acquiring an initially selected inversion distribution based on the maximum inversion trend value; removing a nighttime clear sky radiation inversion, retaining only a frontal inversion, and binarizing (0, 1); finding a boundary between inversion and non-inversion; removing the abnormal candidate frontal points, and acquiring frontal nodes; removing meso- and micro-scale systems; and performing one-dimensional Gaussian filtering on longitude data of the frontal nodes, and connecting the filtered frontal nodes to acquire a quasi-stationary front in Kunming, Yunnan, China.

Automatic recognition method for dry quasi-stationary front in kunming, yunnan, china

The present disclosure discloses a method for automatically identifying south troughs by improved Laplace and relates to the technical field of meteorology. The method includes the following steps: acquiring grid data of a geopotential height field; calculating a gradient field of the geopotential height field in an x direction; searching for a turning point where a gradient value turned from being negative to being positive, and cleaning the gradient field; calculating a divergence of the x direction to obtain an improved Laplacian numerical value L′; performing 0,1 binarization processing on the L′ to obtain a black-and-white image and a plurality of targets of potential troughs, merging the black-and-white image and the plurality of targets of the potential troughs by expansion, recovering original scale through erosion, and selecting an effective target through an angle of direction of a contour and an axial ratio.

Method for automatically identifying south troughs by improved Laplace

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Chengdu, China

Hongping Shu