Geodetic Insights into Water-driven Aquifer and Ice Sheet Dynamics

Explore geodetic techniques for monitoring water-driven dynamics in aquifers and ice sheets in this 49-minute AGU conference talk. Delve into the mechanics of aquifer systems, comparing poroelastic and inelastic responses to groundwater fluctuations. Examine the long history of inelastic subsidence in the San Joaquin Valley and learn how to characterize groundwater fluctuations at seasonal and drought timescales. Discover methods for mapping spatially-variable elastic storage properties of aquifers and understanding poroelastic deformation due to long-term groundwater decline. Investigate the expansion of supraglacial lakes in Greenland and their impact on ice dynamics. Learn about the 2022-2023 GNSS campaign in Western Greenland and how on-ice GNSS is used to track ice dynamics and supraglacial lake drainages. Gain insights into interpreting displacement signals from supraglacial lake drainage events and estimating large-scale elastic loading deformation using GRACE satellite data.

Intro
Poroelastic vs inelastic aquifer response to groundwater fluctuations
Understanding the mechanics of aquifer systems is central to the sustainable exploitation of groundwater resources
Monitoring the health of aquifer systems with geodesy
A multi-technique approach for aquifer monitoring
Long history of inelastic subsidence in the San Joaquin Valley
Characterizing groundwater fluctuations at the seasonal and drought timescales
Mapping the spatially-variable elastic storage properties of the aquifer
Poroelastic deformation due to long-term groundwater decline
Initiation and acceleration of inelastic subsidence starting in 2021
Surface deformation does not recover despite groundwater recharge
Meltwater is ubiquitous on Greenland and Antarctic ice sheets
Supraglacial lakes in Greenland are expanding inland with warming climate
2022-2023 GNSS campaign in Western Greenland
Tracking ice dynamics with on-ice GNSS
Tracking supraglacial lake drainages with GNSS
Understanding displacement signals from supraglacial lake drainage event
Estimating (large-scale) elastic loading deformation with GRACE