South China high-temperature process low-frequency monitoring and power-statistics extension period forecasting method and system

The invention relates to a low-frequency monitoring and dynamic-statistical extension period forecasting method for a high-temperature process in south China. The method comprises the following steps of: firstly, analyzing and researching in-season oscillation characteristics of day-by-day high temperature in the south China by adopting a power spectrum; the method comprises the following steps of: analyzing circulation field evolution characteristics of different change stages of an early stage, a development stage, a strong stage and an attenuation stage of a continuous high-temperature process in the south China by adopting synthesis analysis of typical examples and a Lanczos time filter, and determining key factors and key areas which influence day-by-day high-temperature change in the south China through a difference field of an extreme phase; secondly, calculating a correlation coefficient between the Guangzhou day-by-day highest temperature and each factor by calculating a total ...