Extreme Climate Model and Meteorological Data Analysis
Natural disasters caused by extreme climate have brought great losses to human beings.This paper presents the causes and effects of extreme climate through mathematical model and data analysis.Taking the climate of Suzhou region as an example,we use MATLAB programming and combine M-K mutation detection and BFAST algorithm to study the possibility of the extreme climate change in Suzhou area.By establishing the average temperature time series model to predict the annual average annual temperature in Suzhou in the next five years,we conclude that the annual average temperature in Suzhou will increase continuously in the next five years.
big dataextreme climateM-K mutation detectionBFAST algorithm
NETL
NSTL
万方数据
