Abstract

Abstract. We present surface velocity maps derived from repeat terrestrial radar interferometry (TRI) measurements and use these time series to examine seasonal and diurnal dynamics of alpine glaciers at Mount Rainier, Washington. We show that the Nisqually and Emmons glaciers have small slope-parallel velocities near the summit (< 0.2 m day−1), high velocities over their upper and central regions (1.0–1.5 m day−1), and stagnant debris-covered regions near the terminus (< 0.05 m day−1). Velocity uncertainties are as low as ±0.02–0.08 m day−1. We document a large seasonal velocity decrease of 0.2–0.7 m day−1 (−25 to −50 %) from July to November for most of the Nisqually Glacier, excluding the icefall, suggesting significant seasonal subglacial water storage under most of the glacier. We did not detect diurnal variability above the noise level. Simple 2-D ice flow modeling using TRI velocities suggests that sliding accounts for 91 and 99 % of the July velocity field for the Emmons and Nisqually glaciers with possible ranges of 60–97 and 93–99.5 %, respectively, when considering model uncertainty. We validate our observations against recent in situ velocity measurements and examine the long-term evolution of Nisqually Glacier dynamics through comparisons with historical velocity data. This study shows that repeat TRI measurements with > 10 km range can be used to investigate spatial and temporal variability of alpine glacier dynamics over large areas, including hazardous and inaccessible areas.

Highlights

  • Direct observations of alpine glacier velocity can help improve our understanding of ice dynamics

  • Alpine glacier surface velocities are typically dominated by basal sliding, which is tightly coupled to subglacial hydrology (Anderson et al, 2014; Bartholomaus et al, 2007)

  • We developed a sensor model and tools to terrain-correct the stacked GAMMA portable radar interferometer (GPRI) data using an existing 2 m pixel−1 airborne LiDAR digital elevation model (DEM) acquired in September 2007/2008 (Robinson et al, 2010)

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Summary

Introduction

Direct observations of alpine glacier velocity can help improve our understanding of ice dynamics. The spatial extent and spatial/temporal resolution of direct velocity measurements are often limited to short campaigns with sparse point measurements in accessible regions (e.g., Hodge, 1974; Driedger and Kennard, 1986). Remote sensing can help overcome many of these limitations. A form of active remote sensing, detects millimeter-to-centimeterscale displacements between successive images of the same scene and can see through clouds and fog. In the past few decades, satellite interferometric synthetic aperture radar, or InSAR (e.g., Massonnet and Feigl, 1998; Burgmann et al, 2000), has emerged as an invaluable tool for quantifying glacier dynamics (e.g., Joughin et al, 2010). Limited data availability and revisit times limit the application of InSAR for the study of many short-term processes

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