The ionospheric delay is the predominant error source limiting the required positioning accuracy of GNSS whose estimation accuracy affects the effectiveness of ionospheric delay correction directly,especially in mid and low latitude regions where the irregularities of ionosphere are prominent.And a certain spatio-temporal variation exists in ionosphere which is caused by the fact that the intensity of ionospheric delay depends on the solar activities.Considering the spatio-temporal distribution characteristics of the ionosphere,data from the Crustal Movement Observation Network Of China (CMONOC) are processed to achieve the ionospheric TEC grid modeling in real-time based on spatial variability and correlation theory,and its performance is analyzed under different solar activities.By processing the measured data,the accuracy of Kriging modeling under solar maximum(2014.02) and solar minimum(2015.03) since 2014 are analyzed and verified by the data from external rover stations located at different latitude and lon-gitude.The statistics show that the inner precision can still reaches about 2.63TECU,and the Mean-Square-Error(MSE) of estimated grids VTEC is about 4.52TECU under intense solar activity condition.The effect of correction at each rover station and the overall average of correction is generally 80% and 90% or more respectively which is nearly equal to than that under low solar activity.This work reveals that the Kriging approach presented here which takes into account the spatial correlation and variability structure of the ionosphere TEC is appropriate for the areas with complex ionospheric variations such as China,and is also suitable for the situation under different solar activities.