What is gnss-ro-multi-portal--gnss-radio-occultation-scatterometer?

This project is a single page HTML dashboard for monitoring GNSS Radio Occultation (GNSS-RO) data, a technique scientists use to study the atmosphere using signals from GPS style satellites. The dashboard is built to help researchers watch for Radio Frequency Interference, or RFI, which is unwanted signal noise from things like ground transmitters, satellite uplinks, jamming devices, or space weather that can corrupt these atmospheric readings. The page brings together several live feeds and embedded charts into one screen. It shows space object tracking maps from AstriaGraph and KeepTrack so researchers can check whether nearby satellites or unusual maneuvers might explain an anomaly. It embeds monitoring maps from ROM-SAF, a European weather satellite group, which flag things like unusual bending angle variability or data quality problems. It also embeds charts from ECMWF, a European weather forecasting center, showing how many GNSS-RO observations are being collected across different regions and how different satellite systems compare to each other statistically. There is also a built in catalog of the satellites that carry GNSS-RO instruments, listing their tracking IDs, current status, and which satellite family they belong to, with links to an external tracking site for each one. Finally, the dashboard includes a tool that lets a user upload image files exported from ECMWF's charts and project them onto a rotating 3D globe, either as separate layers at different altitudes or blended into one flat heatmap, so patterns in the data can be viewed geographically. The project's own notes say the code is not polished and that some flagged items may look like false positives without always being one. They also warn that one embedded frame may try to redirect to a GitHub login page, and recommend either using the HTML file locally or previewing it through a third party raw file viewer service if GitHub does not render it directly. The project depends entirely on external public data sources rather than including any data of its own.