In order to provide accurate meteorological services for grain storage and ensure the safety of grain storage, based on the grain situation data of three grain depot in Jiamusi and the observation data of local meteorological stations from 2017 to 2020, the temperature, relative humidity and their correlation inside and outside the station and the granary were explored and analyzed by using mathematical statistics method. The results showed that the real-time temperature of meteorological stations was mostly lower than that outside the granary, and the two showed synchronous oscillation changes with little difference. R was above 0.996. The relative humidity of meteorological stations was higher than that outside the granary, and the two basically showed consistent changes. The relative humidity inside the granary was generally controlled below 70%. The daily maximum temperature of meteorological stations had a good correlation with the temperature in the warehouse and the maximum grain temperature in the surface layer, and R reached above 0.90. The change of warehouse temperature and the maximum grain temperature in the surface layer lagged behind the change of daily maximum temperature for about 1 d and 30 d, respectively. The regression equations of the daily maximum temperature of meteorological stations with the warehouse temperature and the maximum grain temperature in the surface layer were all positively correlated, and increased with the increase of the daily maximum temperature. The maximum grain temperature in other layers was less affected by temperature. According to the regression equation, the warehouse temperature and the maximum grain temperature in each layer were predicted, and the high temperature index of meteorological service in large warehouses was 28 ℃, and the ventilation and humidity service index was less than 70%.