Regional TEC model under quiet geomagnetic conditions and low-to-moderate solar activity based on CODE GIMs. (August 2017) - Feng, Jiandi
Abstract: Global empirical total electron content (TEC) models based on TEC maps effectively describe the average behavior of the ionosphere. However, the accuracy of these global models for a certain region may not be ideal. Due to the number and distribution of the International GNSS Service (IGS) stations, the accuracy of TEC maps is geographically different. The modeling database derived from the global TEC maps with different accuracy is likely one of the main reasons that limits the accuracy of the new models. Moreover, many anomalies in the ionosphere are geographic or geomagnetic dependent, and as such the accuracy of global models can deteriorate if these anomalies are not fully incorporated into the modeling approach. For regional models built in small areas, these influences on modeling are immensely weakened. Thus, the regional TEC models may better reflect the temporal and spatial variations of TEC. In our previous work (Feng et al., 2016), a regional TEC model TECM-NEC is proposed for northeast China. However, this model is only directed against the typical region of Mid-latitude Summer Nighttime Anomaly (MSNA) occurrence, which is meaningless in other regions without MSNA. Following the technique of TECM-NEC model, this study proposes another regional empirical TEC model for other regions in mid-latitudes. Taking a small area BeiJ ing–TianJ in–T angshan (JJT) region (37.5°–42.5° N, 115°–120° E) in China as an example, a regional empirical TEC model (TECM–JJT) is proposed using the TEC grid data from January 1, 1999 to June 30, 2015 provided by the Center for Orbit Determination in Europe (CODE) under quiet geomagnetic conditions. The TECM–JJT model fits the input CODE TEC data with a bias of 0.11TECU and a root mean square error of 3.26TECU. Result shows that the regional model TECM–JJT is consistent with CODE TEC data and GPS–TEC data. Highlights: A new regional empirical TEC model is proposed under quiet geomagnetic conditions. TECM–JJT model fits the input data with a bias of 0.11TECU and RMSE of 3.26TECU. TECM–JJT model is consistent with GPS–TEC data in test days.