| Summary: | American Geophysical Union Fall Meeting, 12-16 December 2022, Chicago GNSS-Interferometric Reflectometry (GNSS-IR) utilizes the pattern in GNSS signal-to-noise ratio (SNR) observables resulting from interference between direct and reflected GNSS signals to probe the GNSS antenna’s surrounding physical environment. The technique is used as a sensor for sea level variations, soil moisture changes, snow depth accumulation, in addition to other geophysical applications. Traditionally, GNSS-IR has been applied with static GNSS stations. Here, we use it on a sea-ice floe in the Arctic Ocean drifting up to 25 km daily. A small-scale (~5 km) ice-strain network is formed with the 12 identical GNSS instruments deployed on the floe. This study describes the technique and this network, while also exploring how the redundancy afforded by the spatially-dense network can best be used to determine the estimation precision of snow accumulation changes Peer reviewed
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