The solar radio index F_10.7 is a critical indicator of solar activity intensity. Accurate forecasting of F_10.7 is essential for advancing many fields. A promising direction for addressing such complex forecast problems is known as neurodynamics, which incorporates dynamic perspectives into neural networks. In this study, we introduce a forecast model based on neurodynamics to achieve high-precision, long-term forecasting of the F_10.7 index. First, we construct an F_10.7 dataset making up for the missing period of F_10.7 measurements by converting sunspot numbers, and we propose a new fitting method, improving the accuracy of converting sunspot number to F_10.7 index. For the forecast modeling, we employ a neurodynamics model to capture the variation characteristics of historical datasets selected by clustering. This approach enhances the objectivity of long-term F_10.7 forecasting, enabling accurate forecast spanning even an entire solar cycle. In the cycle used to validate the forecasting method, the model effectively captures the long-term trend of F_10.7 index, and the forecasted values closely match the observed values. To simplify forecasting, we develop a method for calculating F_10.7 for an entire solar cycle using only the Modified Julian Day (MJD), thereby expanding the usability of the forecasts.

As one of the Analysis Centers (AC) of the International GNSS Service (IGS), Wuhan University (WHU) has been contributing to the IGS by providing ultra-rapid as well as rapid orbit and clock solutions for the established GPS and GLONASS since 2012. In the same year, the IGS initiated the Multi-GNSS Experiment (MGEX) to support the analysis of the emerging GNSS systems and prepare the IGS for Multi-GNSS, which includes GPS, GLONASS, the European Galileo system, the Chinese Beidou Navigation Satellite System (BDS), the Japanese Quasi-Zenith Satellite System (QZSS) and the Indian Regional Navigation Satellite System (IRNSS/NaVIC). The major products, i.e., orbits, Earth Orientation Parameters (EOPs), satellite clock as well as attitude have also been provided by WHU since 2012. More recently, WHU has engaged the third reprocessing of IGS for generating the highly accurate station coordinates as inputs for establishment of the International Terrestrial Reference Frame (ITRF) 2020 during 2019—2020. This article presents the recent major advancements of the IGS AC at Wuhan University, including precise products, real-time products, bias products, antenna phase center calibration, and the non-linear motion modeling for GNSS Reference Stations.