The low Earth orbit (LEO) satellite provides valuable direct observations for scientific investigation of the plasmasphere, while plasmaspheric total electron content (PTEC) with a high temporal resolution cannot be precisely estimated due to fewer LEO satellites. In this paper, novel joint method radial basis function neural network—Kriging (RBF-Kr) is designed construct daily PTEC model using...

A robust ionospheric model is indispensable for providing the atmospheric delay corrections global navigation satellite system (GNSS) and positioning forecasting space environment. The accuracy of models limited due to simplified structures. Complicated spatiotemporal variations in total electron content (TEC) biases between GNSS international reference ionosphere (IRI) suggest a strategy optim...

The next-generation, broadband geodetic very long baseline interferometry system, named VGOS, is developing its global network, and VGOS networks with a small size of 3--7 stations have already made observations from 2017 to 2019. We quality assessments for two kinds observables in the 21 sessions currently available: group delay differential total electron content ($\delta$TEC). Our study reve...

Two strong earthquakes occurred in Turkey on 6 February 2023, at 01:17:34 (nighttime, Mw = 7.8) and 10:24:50 UT (daytime, 7.5). The seismo-ionospheric impact is an important part of the near-Earth environment state. This paper provides first results ionospheric effects associated with aforementioned earthquakes. We used data from global navigation satellite system (GNSS) receivers ionosondes. f...

Modeling and forecasting of Total Electron Content (TEC) values by an Artificial Neural Network model (ANNm) have high agreement on November 2003, 2004 superstorms. The work discusses Solar Wind Parameters (SWp) from OMNI (Operating Missions as a Node the Internet) TEC (TECU) data (International Reference Ionosphere) IRI-2012, IRI-2016 20, 2003 (Dst = –422 nT) 08, –374 Geomagnetic Storms (GSs)....

This paper reports on a fuzzy logic correction technique for the IRI90 climatological ionospheric model that uses a sparse set of GPS total electron content (TEC) measurements to provide a significant model correction over the entire sub-solar equatorial bulge. Crisp inputs, represented by a sparse set of GPS measurements of ionospheric TEC, are ingested into the fuzzy correction model which is...

Abstract Ionospheric total electron content (TEC) is one of the key parameters for users radio-based systems, such as Global Navigation Satellite System, high-frequency communication and space-based remote sensing since ionospheric delay proportional to TEC through propagation path. It important know extreme values in readiness hazardous conditions. The purpose this study estimate with occurren...

Abstract The rapid convergence of precise point positioning real-time kinematics (PPP-RTK) with centimeter-level accuracy is utmost importance for many applications. One way accelerating this to explore the use ionospheric models and multiple global navigation satellite system (GNSS) observations, e.g., Global Positioning System (GPS) Galileo Satellite Navigation (Galileo) observations. Because...

In recent years, transformer has been widely used in natural language processing (NLP) and computer vision (CV). Comparatively, forecasting image time sequences using received less attention. this paper, we propose the conv-attentional sequence (CAiTST), a transformer-based prediction model equipped with convolutional networks an attentional mechanism. Specifically, employ CAiTST to forecast In...