A Binary Logistic Regression Model for Severe Convective Weather with Numerical Model Data

A Binary Logistic Regression Model for Severe Convective Weather with Numerical Model Data

Based on meteorological observations and products of a GRAPES and an ECMWF model from March to April 2014, some indexes and parameters with good relevancy were selected as predictors. Through analyzing the spatial distributions and the binary logistic regressions of the indexes, estimated values of...

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Bibliographic Details
Main Authors:	Guqian Pang, Jian He, Yuming Huang, Liuhong Zhang
Format:	Article
Language:	English
Published:	Wiley 2019-01-01
Series:	Advances in Meteorology
Online Access:	http://dx.doi.org/10.1155/2019/6127281
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