https://doi.org/10.5194/tc-2021-96 Preprint. Discussion started: 22 April 2021 c Author(s) 2021. CC BY 4.0 License. Generalized sliding law applied to the surge dynamics of Shisper Glacier and constrained by timeseries correlation of optical satellite images Flavien Beaud1,2, Saif Aati1, Ian Delaney3,4, Surendra Adhikari3, and Jean-Philippe Avouac1 1Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA 2Now at Department of Geography, University of British Columbia, Vancouver, BC, CA 3Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA 4Now at Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland Correspondence: Flavien Beaud (fl
[email protected]) Abstract. Understanding fast ice flow is key to assess the future of glaciers. Fast ice flow is controlled by sliding at the bed, yet that sliding is poorly understood. A growing number of studies show that the relationship between sliding and basal shear stress transitions from an initially rate-strengthening behavior to a rate-independent or rate-weakening behavior. Studies that have 5 tested a glacier sliding law with data remain rare. Surging glaciers, as we show in this study, can be used as a natural laboratory to inform sliding laws because a single glacier shows extreme velocity variations at a sub-annual timescale. The present study has two parts: (1) we introduce a new workflow to produce velocity maps with a high spatio-temporal resolution from remote sensing data combining Sentinel-2 and Landsat 8 and use the results to describe the recent surge of Shisper glacier, and (2) we present a generalized sliding law and provide a first-order assessment of the sliding-law parameters using the remote sensing 10 dataset.