G3.2/CR2.9/GD10.8/HS11.9/OS4.13Geophysical Signal Separation in Global Geodesy (including G Division Outstanding ECS Lecture) (co-organized)
|Convener: Henryk Dobslaw | Co-Conveners: Rory Bingham , Bert Wouters , Krzysztof Sośnica , Carmen Boening|
Global geodetic observing techniques have established themselves as invaluable tools for numerous applications in the Earth sciences. The satellite gravity mission GRACE, for example, provides at the same time quantitative estimates on mass changes in both oceanic and terrestrial storages, and mass displacements in crust and upper mantle related to large earthquakes. Altimetry and SAR systems are offering high-resolution glacier geometry changes as well as crustal surface deformations caused by a wide range of tectonic, thermal, and sedimentary processes. GNSS or VLBI station observations can be utilized to derive both tropospheric water vapour variations and vertical deformations of the crust due to surface loading or tectonic processes; and GNSS-Reflectometry is aiming at the measurement of both changes in local water-level heights and near-surface soil moisture.
In addition, individual sensor recordings are often affected by high-frequency variability caused by, e.g., tides in the solid Earth, oceans, and atmosphere and their corresponding crustal deformations affecting station positions; non-tidal temperature and moisture variability in the troposphere modifying microwave signal dispersion; rapid changes in the terrestrially stored water caused by hydrometeorologic extreme events; as well as swift variations in relative sea-level that are driven by mass and energy exchange of the global oceans with other components of the Earth system, which all might lead to temporal aliasing in observational records.
This session invites contributions presenting new results from geodetic observing systems for tectonic, hydrologic, oceanographic, or cryospheric monitoring applications. In particular, we welcome presentations about the problem of separating signals of different geophysical origin by means of (i) a priori models obtained from non-geodetic observations; (ii) co-estimation of geophysical signals during geodetic data processing; (iii) post-processing of observational data with specifically tailored filters operating in temporal, spatial, or spectral domain; or (iv) the combination of geodetic observations with numerical Earth system models by means of data assimilation.