Abstract:Based on the observation data of temperature and relative humidity of 17 stations and the temperature data of 8 automatic weather stations in Shijiazhuang, by means of EOF technique, the high temperature and muggy weather distribution characteristic is analyzed. The results show that high temperature and muggy field can be composed of climatic and the first and the second characteristic fields. Cumulative variance contribution of the first two characteristic field is as much as 80%. The first characteristic field reflects the actions of latitude and height above sea level and landform, and the impact of urban heat island effects. The coefficient of the first two characteristic field are day-to-day variable, and closely correlated with wind, temperature and baric difference of latitude and longitude. They can be worked out based on weather factors from single station by regression equation. So, the method predicting high temperature and muggy distribution is developed with EOF, it is satisfactory by statistical and fitting test and trial calculation, and can be operated by actual weather forecast.