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Dive into the research topics where Alessio Gusmeroli is active.

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Featured researches published by Alessio Gusmeroli.


Annals of Glaciology | 2013

Seismic evidence of mechanically weak sediments underlying Russell Glacier, West Greenland

C. F. Dow; Alun Hubbard; Adam D. Booth; Samuel Huckerby Doyle; Alessio Gusmeroli; Bernd Kulessa

Abstract Amplitude-versus-angle (AVA) analysis of a seismic reflection line, imaged 13 km from Russell Glacier terminus, near the western margin of the Greenland ice sheet (GrIS), suggests the presence of sediment at the bed. The analysis was complicated by the lack of identifiable multiples in the data due to a highly irregular and crevassed ice surface, rendering deeper seismic returns noisy. A modified technique for AVA processing of glacial seismic data using forward modelling with primary reflection amplitudes and simulated multiple amplitudes is presented here. Our analysis demonstrates that AVA analysis can be applied to areas with noisy seismic returns and indicates that sediment underlies the seismic study site. Our data are inconsistent with the common assumption that the GrIS is underlain only by hard bedrock, but consistent with the presence of subglacial sediment with porosity between 30% and 40%. As analysis and modelling of ice-sheet dynamics requires a sound knowledge of the underlying basal materials, subglacial sediment should be taken into account when considering ice dynamics in this region of the GrIS.


Journal of Glaciology | 2010

Seismic wave attenuation in the uppermost glacier ice of Storglaciären, Sweden

Alessio Gusmeroli; Roger A. Clark; Tavi Murray; Adam D. Booth; Bernd Kulessa; Brian E. Barrett

We conducted seismic refraction surveys in the upper ablation area of Storglaciaren, a small valley glacier located in Swedish Lapland. We estimated seismic-wave attenuation using the spectral-ratio method on the energy travelling in the uppermost ice with an average temperature of approximately −1 °C. Attenuation values were derived between 100 and 300 Hz using the P-wave quality factor, Q P, the inverse of the internal friction. By assuming constant attenuation along the seismic line we obtained mean Q P = 6 ± 1. We also observed that Q P varies from 8 ± 1 to 5 ± 1 from the near-offset to the far-offset region of the line, respectively. Since the wave propagates deeper at far offsets, this variation is interpreted by considering the temperature profile of the study area; far-offset arrivals sampled warmer and thus more-attenuative ice. Our estimates are considerably lower than those reported for field studies in polar ice (∼500–1700 at −28°C and 50–160 at −10°C) and, hence, are supportive of laboratory experiments that show attenuation increases with rising ice temperature. Our results provide new in situ estimates of Q P for glacier ice and demonstrate a valuable method for future investigations in both alpine and polar ice.


Journal of remote sensing | 2013

Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data

Benjamin M. Jones; Alessio Gusmeroli; Christopher D. Arp; Tazio Strozzi; Guido Grosse; Benjamin V. Gaglioti; Matthew S. Whitman

Arctic freshwater ecosystems have responded rapidly to climatic changes over the last half century. Lakes and rivers are experiencing a thinning of the seasonal ice cover, which may increase potential over-wintering freshwater habitat, winter water supply for industrial withdrawal, and permafrost degradation. Here, we combined the use of ground penetrating radar (GPR) and high-resolution (HR) spotlight TerraSAR-X (TSX) satellite data (1.25 m resolution) to identify and characterize floating ice and grounded ice conditions in lakes, ponds, beaded stream pools, and an alluvial river channel. Classified ice conditions from the GPR and the TSX data showed excellent agreement: 90.6% for a predominantly floating ice lake, 99.7% for a grounded ice lake, 79.0% for a beaded stream course, and 92.1% for the alluvial river channel. A GIS-based analysis of 890 surface water features larger than 0.01 ha showed that 42% of the total surface water area potentially provided over-wintering habitat during the 2012/2013 winter. Lakes accounted for 89% of this area, whereas the alluvial river channel accounted for 10% and ponds and beaded stream pools each accounted for <1%. Identification of smaller landscape features such as beaded stream pools may be important because of their distribution and role in connecting other water bodies on the landscape. These findings advance techniques for detecting and knowledge associated with potential winter habitat distribution for fish and invertebrates at the local scale in a region of the Arctic with increasing stressors related to climate and land use change.


Remote Sensing | 2015

Remotely Sensed Active Layer Thickness (ReSALT) at Barrow, Alaska Using Interferometric Synthetic Aperture Radar

Kevin Schaefer; Lin Liu; Andrew D. Parsekian; Elchin Jafarov; A.C. Chen; Tingjun Zhang; Alessio Gusmeroli; Santosh Panda; Howard A. Zebker; Tim Schaefer

Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. Here we evaluated the Remotely Sensed Active Layer Thickness (ReSALT) product that uses the Interferometric Synthetic Aperture Radar technique to measure seasonal surface subsidence and infer ALT around Barrow, Alaska. We compared ReSALT with ground-based ALT obtained using probing and calibrated, 500 MHz Ground Penetrating Radar at multiple sites around Barrow. ReSALT accurately reproduced observed ALT within uncertainty of the GPR and probing data in ~76% of the study area. However, ReSALT was less than observed ALT in ~22% of the study area with well-drained soils and in ~1% of the area where soils contained gravel. ReSALT was greater than observed ALT in some drained thermokarst lake basins representing ~1% of the area. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.


Journal of Geophysical Research | 2015

End‐of‐winter snow depth variability on glaciers in Alaska

Daniel McGrath; Louis Sass; Shad O'Neel; Anthony A. Arendt; Gabriel J. Wolken; Alessio Gusmeroli; Christian Kienholz; Christopher McNeil

A quantitative understanding of snow thickness and snow water equivalent (SWE) on glaciers is essential to a wide range of scientific and resource management topics. However, robust SWE estimates are observationally challenging, in part because SWE can vary abruptly over short distances in complex terrain due to interactions between topography and meteorological processes. In spring 2013, we measured snow accumulation on several glaciers around the Gulf of Alaska using both ground- and helicopter-based ground-penetrating radar surveys, complemented by extensive ground truth observations. We found that SWE can be highly variable (40% difference) over short spatial scales (tens to hundreds of meters), especially in the ablation zone where the underlying ice surfaces are typically rough. Elevation provides the dominant basin-scale influence on SWE, with gradients ranging from 115 to 400 mm/100 m. Regionally, total accumulation and the accumulation gradient are strongly controlled by a glaciers distance from the coastal moisture source. Multiple linear regressions, used to calculate distributed SWE fields, show that robust results require adequate sampling of the true distribution of multiple terrain parameters. Final SWE estimates (comparable to winter balances) show reasonable agreement with both the Parameter-elevation Relationships on Independent Slopes Model climate data set (9–36% difference) and the U.S. Geological Survey Alaska Benchmark Glaciers (6–36% difference). All the glaciers in our study exhibit substantial sensitivity to changing snow-rain fractions, regardless of their location in a coastal or continental climate. While process-based SWE projections remain elusive, the collection of ground-penetrating radar (GPR)-derived data sets provides a greatly enhanced perspective on the spatial distribution of SWE and will pave the way for future work that may eventually allow such projections.


Geophysical Research Letters | 2018

Permafrost Stores a Globally Significant Amount of Mercury

Paul F. Schuster; Kevin Schaefer; George R. Aiken; Ronald C. Antweiler; John F. DeWild; Joshua D. Gryziec; Alessio Gusmeroli; Gustaf Hugelius; Elchin Jafarov; David P. Krabbenhoft; Lin Liu; Nicole M. Herman-Mercer; Cuicui Mu; David A. Roth; Tim Schaefer; Robert G. Striegl; Kimberly P. Wickland; Tingjun Zhang

Changing climate in northern regions is causing permafrost to thaw with major implications for the global mercury (Hg) cycle. We estimated Hg in permafrost regions based on in situ measurements of ...


Arctic, Antarctic, and Alpine Research | 2015

Active Layer Stratigraphy and Organic Layer Thickness at a Thermokarst Site in Arctic Alaska Identified Using Ground Penetrating Radar

Alessio Gusmeroli; Lin Liu; Kevin Schaefer; Tingjun Zhang; Timothy Schaefer; Guido Grosse

Abstract In permafrost terrains, the frozen-unfrozen boundary, located at the base of the active layer, is a prominent ground-penetrating radar (GPR) target and is typically used to retrieve active layer thickness. Less attention has been given to the capability of the GPR in detecting structures within the active layer. In this paper, using 500 MHz GPR data from a thermokarst site in the Arctic Coastal Plain, we demonstrate that GPR can retrieve, when present, the internal stratigraphy of the thawed layer. We recognized two types of thermokarst-related microtopographic units: dry-and-uniform peaty hummocks with a thin (∼30 cm) active layer and inter-hummock depressions with a thicker (∼60 cm) active layer characterized by two different layers—a surface peat layer on top of silt confirmed by test pits. Radar wave velocity analysis, done with a common-midpoint survey, suggests a contrast in volumetric water content (87% and 45% for the upper and lower layers, respectively). The subsurface radar wave velocity suggests that the porous peat layer contains more water (87% by volume) than the underlying silt layer (45% by volume), resulting in a strong dielectric contrast and a strong radar reflection. This study demonstrates the usefulness of GPR to measure the thickness and properties of the surface organic layer in permafrost regions.


Annals of Glaciology | 2014

Helicopter-borne radar imaging of snow cover on and around glaciers in Alaska

Alessio Gusmeroli; Gabriel J. Wolken; Anthony A. Arendt

Abstract During spring 2013, we performed 500 MHz, helicopter-borne impulsive ground-penetrating radar surveys of several glaciers and glacier forelands in south-central Alaska, USA. These surveys were designed to obtain spatially distributed measurements of snow accumulation spanning a broad range of continental and maritime climatic zones. Visual assessment of radar images shows that data quality varied with the terrains and was optimal for snow that covered smooth glacier ice and firn, smooth debris-covered areas and moraines, freshwater lake and river ice, tundra, and taiga. Conversely, returns from the base of the snowpack were unrecognizable over rough debris-covered glacier termini, icefalls and some high-altitude accumulation basins. Optimal flying speed was 15-20ms–1 (30–40kt). At these speeds, which are two to three times faster than previously reported for such surveys, we could still identify snow-depth data with confidence, at a point spacing of ~1.5-2.0m. Data quality on glaciers decreased with increased air speed, though useful echoes from the base of the snowpack were still obtained at 40-45 ms–1 (87 kt; data point spacing of 6-8 m). Similar high-speed surveys over non-glacial terrains were unsuccessful, as basal reflections were no longer recognizable.


Journal of Glaciology | 2008

Estimates of water content in glacier ice using vertical radar profiles: a modified interpretation for the temperate glacier Falljökull, Iceland

Alessio Gusmeroli; Tavi Murray; Brian E. Barrett; Roger A. Clark; Adam D. Booth

Polycrystalline glacier ice at the melting point is often considered as a two-phase mixture, with the water phase located in veins and small channels at triple grain boundaries (Raymond and Harrison, 1975; Nye, 1989). These microscale water bodies strongly influence the deformation rate of ice (Duval, 1977). Correct knowledge of the amount of liquid water in temperate glacier ice is therefore required for predictive modelling of ice mass flow (Hubbard and others, 2003) and for characterization of the hydrothermal structure of polythermal glaciers (Pettersson and others, 2007). Since the velocity of electromagnetic waves travelling through ice is known to decrease with increasing water content while attenuation increases, ground-penetrating radar (GPR) velocity and amplitude analysis is a potential remote method to characterize and model the hydrothermal structure of temperate (Murray and others, 2000a; Benjumea and others, 2003) and polythermal glaciers (Macheret and others, 1993; Murray and others, 2000b; Pettersson and others, 2004). Microscale water-content estimates using GPR are, however, overestimated since the velocity of a radar wave travelling through glacier ice is conditioned not only by intra-crystalline water but also by larger (cm to dm) water bodies. Borehole vertical radar profiling (VRP) is a commonly used geophysical technique for characterizing the shallow subsurface (Tronicke and Knoll, 2005; Clement and Knoll, 2006). Water-content estimates using radar wave velocity (rwv) from VRP data need to consider the presence of multiple travel paths that, if incorrectly interpreted, can provide erroneous estimates (Gusmeroli and others, 2008). In this correspondence, we present a modified interpretation of a previously published (Murray and others, 2000a) Gusmeroli and others: Correspondence


Annals of Glaciology | 2013

Variable penetration depth of interferometric synthetic aperture radar signals on Alaska glaciers: a cold surface layer hypothesis

Alessio Gusmeroli; Anthony A. Arendt; Donald Atwood; Bert Kampes; Mark Sanford; Joanna C. Young

Abstract P-band interferometric synthetic aperture radar (InSAR) data at 5 m resolution from Kahiltna Glacier, the largest glacier in the Alaska Range, Alaska, USA, show pronounced spatial variation in penetration depth, δP. We obtained δP by differencing X- and P-band digital elevation models. δP varied significantly over the glacier, but it was possible to distinguish representative zones. In the accumulation area, δP decreased with decreasing elevation from 18 ± 3 m in the percolation zone to 10 ± 4 m in the wet snow zone. In the central portion of the ablation area, a location free of debris and crevasses, we identified a zone of very high δP (34 ± 4 m) which decreased at lower elevations (23 ± 3 m in bare ice and 5-10m in debris-covered ice). We observe that the spatial configuration of δP is consistent with the expected thermal regime of each zone: δP is high in areas where cold firn/ice likely occurs (i.e. percolation zone and upper ablation area) and low in areas where temperate surface firn/ice likely exists (wet snow zone and lower ablation area). We suggest that the very high δP observed in the upper ablation area is due to the presence of a cold surface layer.

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Kevin Schaefer

University of Colorado Boulder

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Lin Liu

The Chinese University of Hong Kong

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Elchin Jafarov

Los Alamos National Laboratory

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