The ionospheric total electron content (TEC) plays a major role in the estimation of positional accuracy of satellite-based navigation systems. TEC disturbs the transmission of the signal transmitted from the satellite to receiver, which leads to range error. Hence, the prediction of VTEC can rectify the range errors in advance. Navigation with Indian Constellation (NavIC) is a navigational satellite system that gives position of a user and time information in India. NavIC receiver is installed at ACSCE, Bangalore, and it is utilized to estimate vertical total electron content (VTEC). In this paper, VTEC estimated from ACSCE station and VTEC obtained from IISC station, Bangalore, are compared and also ordinary kriging-based surrogate model (OKSM) and cokriging-based surrogate model (COKSM) are developed for forecasting NavIC/GPS VTEC. In these models, input parameters comprise the time, Bt, SSN, Ap and F10.7. NavIC and GPS VTEC are predicted for quiet days, i.e. from 16/1/2018 to 26/1/2018 and from 7/8/2018 to 13/8/2018, by using previous one week of VTEC data, and input parameters belong to ACSCE (12.8914° N, 77.4657° E) and IISC (13.0219° N, 77.5671° E) stations, Bangalore. The VTEC prediction results from OKSM and COKSM are compared. It shows that OKSM results are comparatively better than COKSM. In order to validate our developed models, OKSM and COKSM prediction results are compared with the SWIF model during storm days. Based on the comparison, it is observed that RMSE of OKSM is 3.5202 TECU, COKSM gives RMSE as 4.7126 TECU, and the SWIF model’s RMSE is 4.6804. From the comparison results, it is evident that OKSM yields better prediction results than COKSM and SWIF. These results indicate that the proposed model will be useful for correcting range measurement data in advance.

电离层总电子含量（TEC）在估算基于卫星的导航系统的位置精度中起着重要作用。TEC干扰了从卫星传输到接收器的信号传输，从而导致距离误差。因此，VTEC的预测可以预先纠正范围误差。印度星座导航（NavIC）是一种导航卫星系统，可提供用户位置和印度的时间信息。NavIC接收器安装在班加罗尔ACSCE，用于估算垂直总电子含量（VTEC）。在本文中，比较了从ACSCE站估算的VTEC和从班加罗尔的IISC站获得的VTEC，还开发了用于预测NavIC / GPS VTEC的普通基于克里格模型的替代模型（OKSM）和基于共克里格模型的替代模型（COKSM）。在这些模型中，输入参数包括时间，Bt，SSN，Ap和F10.7。通过使用前一周的VTEC数据，可以预测NavIC和GPS VTEC在安静的日子，即从16/1/2018至26/1/2018和从7/8/2018至13/8/2018，并且输入参数属于到达班加罗尔的ACSCE（北纬12.8914°N，77.4657°E）和IISC（北纬13.0219°N，77.5671°）。比较了OKSM和COKSM的VTEC预测结果。结果表明，OKSM结果比COKSM更好。为了验证我们开发的模型，在暴风雨期间将OKSM和COKSM预测结果与SWIF模型进行了比较。通过比较发现，OKSM的RMSE为3.5202 TECU，COKSM给出的RMSE为4.7126 TECU，而SWIF模型的RMSE为4.6804。从比较结果可以明显看出，OKSM的预测结果优于COKSM和SWIF。