G5.2 | Geodetic Observation Methods for Space Weather
EDI
Geodetic Observation Methods for Space Weather
Convener: Fabricio ProlECSECS | Co-conveners: Ehsan Forootan, Benedikt Soja, Günther March, Ana Lucia Christovam de SouzaECSECS

The Global Geodetic Observing System (GGOS) Focus Area on Geodetic Space Weather Research of the International Association of Geodesy (IAG) invites researchers to explore the critical role of geodetic techniques in advancing our understanding of space weather dynamics. This session aims to bring together scientists and researchers to discuss modelling methodologies and accuracy of space-based observations for advancing the accuracy and resilience of space weather modeling, monitoring, and forecasts. Emphasis is placed on the use of geodetic observations (e.g., GNSS, GNSS-RO, VLBI, DORIS, InSAR) to provide insights into the ionosphere, plasmasphere, and thermosphere.

This session will explore recent advancements in total electron content (TEC) estimation and prediction, in three-dimensional ionospheric modelling techniques such as tomography, in using data assimilation and machine learning techniques, in electron density retrieval from recent GNSS radio-occultation missions, and ionospheric scintillation impacts on GNSS data. We also encourage studies assessing the impacts of atmospheric drag on low Earth orbit (LEO) satellites, aiming to improve neutral density estimation within the thermosphere through precise orbit determination (POD) and high-resolution accelerometer observations. Additionally, we welcome contributions on monitoring space weather events through geodetic observations, including but not limited to geomagnetic storms, ionospheric plasma bubbles, and traveling ionospheric disturbances. Discussions on the implications of these space weather phenomena for positioning and navigation systems are also encouraged. We also welcome the integration of geodetic observations with data from dedicated instruments, such as ionosondes, in-situ Langmuir probes, and incoherent scatter radars.