Temperature missing data filling method and system and electronic equipment

Abstract

The invention relates to a temperature missing data filling method and system and electronic equipment. The method comprises the following steps: step a, respectively reading temperature data of a to-be-filled station and each observation station located in the same region as the to-be-filled station, and counting a common time sequence of the to-be-filled station and each observation station according to the temperature data; b, calculating a correlation coefficient between the to-be-filled station and each observation station by utilizing the temperature data of the common time sequence of the to-be-filled station and each observation station at the corresponding moment, and screening out at least one observation station with the strongest correlation with the to-be-filled station as a filling reference station according to the correlation coefficient; and step c, fitting a linear function between the to-be-filled station and the at least one filling reference station by utilizing the temperature data of the at least one filling reference station at the moment corresponding to the common time sequence, and filling the temperature data of the to-be-filled station through the linear function. According to the invention, the accuracy and operability of temperature data filling are improved.

Description

technical field [0001] The application belongs to the technical field of meteorological services, and in particular relates to a method, system and electronic equipment for filling missing temperature data. Background technique [0002] The temperature data is measured by the meteorological observation station through some equipment or manual methods, and then entered into the data through the computer system. On the one hand, the density of meteorological observation stations in various regions of my country is relatively high at this stage, and the equipment is prone to failure over time, which undoubtedly increases the possibility of data loss at each observation station. On the other hand, data omissions may also occur during the entry process of the computer system. The lack of temperature data will to a certain extent lead to deviations in the statistical analysis results of meteorological researchers, which will affect the formulation of corresponding measures by rel...

AI Technical Summary

Problems solved by technology

And when the data is missing, most of the temperature data of all stations in an area will not be missing, so that the information of the non-missing stations can be fully utilized for data filling, which is not considered in the existing technology

At the same time, the existing patents are more for the general filling of the overall lack of various meteorological data, and there is no filling method for the lack of a single temperature data for reference

Images