Article
Geosciences, Multidisciplinary
Alexandra Messerli, Jennifer Arthur, Kirsty Langley, Penelope How, Jakob Abermann
Summary: Understanding the seasonal fluctuations in snowline position is crucial for predicting the melt contribution of glaciers to sea-level rise. This study analyzed the snow extent evolution on a small coastal mountain glacier in southwest Greenland, aiming to establish a baseline dataset of snow and ice conditions. The findings highlight the close relationship between the number of days of visible bare ice, cumulative Positive Degree Days (PDDs), and mass balance. The study also emphasizes the importance of incorporating the spatial and temporal variability of snow-to-bare ice ratios in mass balance modeling efforts.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Environmental Sciences
Rolf Ole R. Jenssen, Svein K. Jacobsen
Summary: This paper presents a method for remotely estimating snow water equivalent (SWE) using UAV-mounted radar and initial field experiments show high repeatability and good agreement with simulations. System improvements are outlined to increase the accuracy of the snow density estimator based on F-K migration technique.
Article
Engineering, Electrical & Electronic
Masoud Yari, Oluwanisola Ibikunle, Debvrat Varshney, Tashnim Chowdhury, Argho Sarkar, John Paden, Jilu Li, Maryam Rahnemoonfar
Summary: This study explores two approaches to simulate Arctic snow radar echogram images, using a physics-based simulator and a data-driven approach. The results show that the physics simulator generates images with good structural similarities, while the data-driven approach achieves better textural similarities in simulated images.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Barbara Barzycka, Mariusz Grabiec, Jacek Jania, Malgorzata Blaszczyk, Finnur Palsson, Michal Laska, Dariusz Ignatiuk, Gudfinna Adalgeirsdottir
Summary: This study uses a unique dataset including satellite SAR images, Ground Penetrating Radar data, and shallow glacier cores to assess the performance of different methods in distinguishing glacier zones. The findings suggest that unsupervised classification methods, such as Gaussian Mixture Model-Expectation Maximization (GMM-EM) clustering of dual-pol backscattering coefficient (sigma0) and quad-pol Pauli decomposition, show promise in distinguishing glacier zones.
Article
Environmental Sciences
Jing Zhang, Li Jia, Massimo Menenti, Jie Zhou, Shaoting Ren
Summary: The study found that glaciers in the West Kunlun and Pamir regions showed stable or slightly positive mass budgets in the early 21st century, which is unusual in the context of global glacier recession. The glacier area in the Tarim Basin decreased by 1.32%/a during 2000-2020, with the East Tien Shan region experiencing the fastest reductions.
Article
Environmental Sciences
Andrea Vergnano, Diego Franco, Alberto Godio
Summary: Ground-penetrating radar (GPR) mounted on a drone was tested for mapping snow thickness in mountainous regions. The system showed good reliability and performance in monitoring snow depth. Low snow density limits the detectability of the air-snow interface, but this can be overcome by using rangefinder data. Adequate knowledge of the devices is necessary for effective drone-borne GPR acquisition.
Article
Environmental Sciences
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden, Oluwanisola Ibikunle, Jilu Li
Summary: Climate change is causing accelerated mass loss in ice sheets, requiring assessment of this reduction to predict future ice mass loss. This paper uses deep learning to identify the position of annual snow layers in radar echograms from various regions of the Greenland ice sheet, achieving precise estimation of snow layer thickness for improving weather models and supporting glaciological studies. A well-trained deep learning model can aid in accurately assessing snow accumulation on dynamically changing ice sheets with growing datasets.
Article
Geochemistry & Geophysics
Pedro Fidel Espin-Lopez, Martina Lodigiani, Massimiliano Barbolini, Fabio Dell'Acqua, Lorenzo Silvestri, Marco Pasian
Summary: The article describes an innovative radar architecture extension for wet snow situations, allowing for the measurement of snowpack depth, bulk density, and liquid water content. The approach is validated for two cases to demonstrate its operating principle.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Hoyeon Shi, Sang-Moo Lee, Byung-Ju Sohn, Albin J. Gasiewski, Walter N. Meier, Gorm Dybkjar, Sang-Woo Kim
Summary: This study aims to develop a new retrieval algorithm for snow depth, sea ice thickness, bulk density, and ice freeboard in the Arctic winter by combining CryoSat-2 with passive microwave and infrared measurements. The algorithm combines two parameterizations with hydrostatic balance and radar wave speed correction equations to obtain solutions for the four variables. The results show good agreement with airborne snow depth, total freeboard, and mooring ice draft measurements, and the retrieved multiyear sea ice bulk density is more consistent with in situ measurements compared to previous parameterizations.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Kamil Kachniarz, Mariusz Grabiec, Dariusz Ignatiuk, Michal Laska, Bartlomiej Luks
Summary: This paper examines the use of ground-penetrating radar (GPR) monitoring to understand the processes and structure of snow cover. Using data from the Hansbreen records, the study demonstrates the potential of GPR in extrapolating detailed features of snow cover. It also analyzes the physical characteristics of the snow cover structure. The results show that radar profiling can improve spatial recognition of snow cover characteristics and the accuracy of snow water equivalent calculation.
Article
Water Resources
Randall Bonnell, Daniel McGrath, Andrew R. Hedrick, Ernesto Trujillo, Tate G. Meehan, Keith Williams, Hans-Peter Marshall, Graham Sexstone, John Fulton, Michael J. Ronayne, Steven R. Fassnacht, Ryan W. Webb, Katherine E. Hale
Summary: Depth-based and radar-based remote sensing methods are promising for measuring snow water equivalent (SWE), but require density estimates for calculation. This study combines lidar-measured snow depths with ground-penetrating radar (GPR) two-way travel times (twt) to estimate relative permittivity and evaluate density models for SWE estimation. The study found that the Kovacs et al. equation yielded the best comparison with in-situ measurements for density estimation. The accuracy of SWE estimation varied depending on the density model used.
HYDROLOGICAL PROCESSES
(2023)
Article
Environmental Sciences
Anton V. V. Terekhov, Sergei Verkulich, Alexander Borisik, Vasiliy Demidov, Uliana Prokhorova, Kseniia Romashova, Mikhail Anisimov, Olga Sidorova, Gleb Tarasov
Summary: This study presents the annual and seasonal mass-balance monitoring results of the Vestre Gronfjordbreen glacier in Svalbard from 2013/14 to 2019/20. The glacier experiences significant retreat and has negative annual mass balance values. A ground-penetrating radar survey confirms the glacier's structure and determines the total volume and cumulative mass loss. There is a weak correlation between the mass-balance values and meteorological observations.
ARCTIC ANTARCTIC AND ALPINE RESEARCH
(2022)
Article
Geography, Physical
Huw J. Horgan, Laurine van Haastrecht, Richard B. Alley, Sridhar Anandakrishnan, Lucas H. Beem, Knut Christianson, Atsuhiro Muto, Matthew R. Siegfried
Summary: The study of the grounding zone of Whillans Ice Stream using active-source seismic methods revealed the presence of stiff subglacial sediment and thin water layers upstream, supporting previous hypotheses about sediment dewatering and trapping of subglacial water. The methodology calibration using returns from the floating ice shelf allowed a comparison of different techniques used to estimate seismic sources, highlighting the incomplete understanding of factors affecting seismic amplitudes in the cryosphere.
Article
Engineering, Electrical & Electronic
Reza Naderpour, Mike Schwank, Derek Houtz, Christian Matzler
Summary: This study reports on four consecutive winter campaigns conducted in the Swiss Alps to investigate the L-band microwave emission of ground covered with seasonal snow. The study measured brightness temperatures and state parameters of the snowpack and subnivean soil, and analyzed the effects of precipitation and spatial heterogeneity on the measurements. The findings provide valuable insights for future close-range remote sensing campaigns.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Peng-Bin Liang, Li-De Tian
Summary: This study estimated the ice storage of glaciers in western China by compiling ice thickness observations and comparing with the Second Chinese Glacier Inventory. They found that the method of glacier division can significantly affect the total volume estimation and emphasized the need for more accurate glacier inventory data.
ADVANCES IN CLIMATE CHANGE RESEARCH
(2022)
Article
Geochemistry & Geophysics
Niklas Allroggen, Adam D. Booth, Sandra E. Baker, Stephen A. Ellwood, Jens Tronicke
NEAR SURFACE GEOPHYSICS
(2019)
Article
Geosciences, Multidisciplinary
Adam D. Booth, Poul Christoffersen, Charlotte Schoonman, Andy Clarke, Bryn Hubbard, Robert Law, Samuel H. Doyle, Thomas R. Chudley, Athena Chalari
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Geosciences, Multidisciplinary
S. F. Killingbeck, N. C. Schmerr, L. N. Montgomery, A. D. Booth, P. W. Livermore, J. Guandique, O. L. Miller, S. Burdick, R. R. Forster, L. S. Koenig, A. Legchenko, S. R. M. Ligtenberg, C. Miege, D. K. Solomon, L. J. West
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Geosciences, Multidisciplinary
Alistair Everett, Tavi Murray, Nick Selmes, David Holland, Dominic E. Reeve
Summary: Research shows that mass loss directly driven by submarine plume is significantly less than mass loss from major calving events on the Greenland ice sheet, suggesting that the contribution of submarine plume-driven mass loss at deep marine-terminating glaciers may be less than at shallower termini.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Geosciences, Multidisciplinary
Sofia-Katerina Kufner, Alex M. Brisbourne, Andrew M. Smith, Thomas S. Hudson, Tavi Murray, Rebecca Schlegel, John M. Kendall, Sridhar Anandakrishnan, Ian Lee
Summary: Microseismicity caused by glacial sliding can be used to monitor bed properties, with events occurring near the ice-bed interface showing flow-parallel stick-slip behavior. The events are clustered in regions of stiff till and along mega-scale glacial lineations, exhibiting spatial and temporal restrictions in their occurrence patterns. The study suggests that multiple bed deformation processes are simultaneously active during glacial sliding, indicating continuous reorganization of the bed.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Soil Science
D. Carless, B. Kulessa, A. D. Booth, Y. Drocourt, P. Sinnadurai, F. Alayne Street-Perrott, P. Jansson
Summary: The use of ground penetrating radar (GPR) and Light Detection and Ranging (LiDAR) combined with Geographic Information System (GIS) can improve the estimation of regional carbon stocks, providing valuable contribution to carbon stock assessments at regional, national, and potentially global levels. Accurate estimates of peatland carbon stocks are important due to the significant and threatened peatland carbon stores worldwide, with the integrated approach showing promising results in estimating carbon stocks at specific sites in South Wales.
Article
Geosciences, Multidisciplinary
Kira G. Olsen, Meredith Nettles, L. Mac Cathles, Justin C. Burton, Tavi Murray, Timothy D. James
Summary: A physics-based source model improves seismic-magnitude recovery for glacial-earthquake modeling; maximum force is less sensitive to model choices than M-CSF and is preferred for describing glacial-earthquake size; rapid force reversal during iceberg calving is crucial for capturing in a glacial-earthquake source model.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Geosciences, Multidisciplinary
Rebecca Schlegel, Tavi Murray, Andrew M. Smith, Alex M. Brisbourne, Adam D. Booth, Edward C. King, Roger A. Clark
Summary: Basal properties beneath ice streams and glaciers play a crucial role in ice flow dynamics and the formation of subglacial landforms. A study using high-resolution radar data reveals spatial variations in basal properties and provides constraints on the occurrence of water bodies on the crest of landforms.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2022)
Article
Geosciences, Multidisciplinary
Hannah Watts, Adam D. Booth, Benedict T. I. Reinardy, Siobhan F. Killingbeck, Peter Jansson, Roger A. Clark, Benjamin M. P. Chandler, Atle Nesje
Summary: Geophysical surveys provide efficient and non-invasive methods for studying proglacial environments. This study explores the application of three geophysical methods, including ground penetrating radar, seismic refraction, and multi-channel analysis of surface waves, to glacial landforms with different characteristics. The analysis shows that GPR and seismic techniques can provide extensive information on the internal architecture and composition of moraines, but careful survey designs are required in complex geological environments.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Geography, Physical
Emma Pearce, Adam D. D. Booth, Sebastian Rost, Paul Sava, Tugrul Konuk, Alex Brisbourne, Bryn Hubbard, Ian Jones
Summary: The density structure of firn plays a crucial role in hydrological and climate modelling, as well as ice-shelf stability. Traditional methods like Herglotz-Wiechert inversion (HWI) can evaluate firn structure by analyzing depth models of seismic velocity. However, these methods are only suitable for steady-state firn profiles and may encounter difficulties when there are ice layers present. Full waveform inversion (FWI) overcomes these limitations and shows better performance in detecting ice slab boundaries and velocity anomalies within firn.
JOURNAL OF GLACIOLOGY
(2023)
Article
Geosciences, Multidisciplinary
T. S. Hudson, S. K. Kufner, A. M. Brisbourne, J. M. Kendall, A. M. Smith, R. B. Alley, R. J. Arthern, T. Murray
Summary: This study investigates the slip of glaciers over the underlying bed, which is the dominant mechanism governing the migration of ice into the oceans and contributes to sea-level rise. The researchers use passive seismic observations to measure frictional shear stress and slip at the bed of the Rutford Ice Stream in Antarctica. They find that basal shear stresses and slip rates vary significantly in both space and time, indicating that the bed is more complex than previously assumed in ice stream models. This research provides important constraints for ice-dynamics models and is critical for understanding the contribution of ice mass loss to sea-level rise.
Article
Geography, Physical
Emma Pearce, Adam D. Booth, Sebastian Rost, Paul Sava, Tugrul Konuk, Alex Brisbourne, Bryn Hubbard, Ian Jones
Summary: The density structure of firn is important for hydrological and climate modelling, as well as ice shelf stability. The use of Full Waveform Inversion (FWI) instead of Herglotz-Wiechert inversion (HWI) can provide a more accurate assessment of firn structure, especially in cases with ice layers.
ANNALS OF GLACIOLOGY
(2023)
Article
Geography, Physical
Adam D. D. Booth, Poul Christoffersen, Andrew Pretorius, Joseph Chapman, Bryn Hubbard, Emma C. C. Smith, Sjoerd de Ridder, Andy Nowacki, Bradley Paul Lipovsky, Marine Denolle
Summary: Distributed Acoustic Sensing (DAS) is a valuable tool for glaciological seismic applications, but analyzing the large data volumes generated poses computational challenges. Active-source DAS has the potential to image and characterize subglacial sediment, but the lack of subglacial velocity constraint limits accuracy. Compression using the frequency-wavenumber (f-k) transform and a convolutional neural network provides a significant improvement in efficiency for analyzing cryoseismic events. Combining active and passive-source data with machine learning frameworks unlocks the potential of large DAS datasets for future applications.
ANNALS OF GLACIOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Alex Brisbourne, Bernd Kulessa, Thomas Hudson, Lianne Harrison, Paul Holland, Adrian Luckman, Suzanne Bevan, David Ashmore, Bryn Hubbard, Emma Pearce, James White, Adam P. Booth, Keith Nichols, Andrew Smith
EARTH SYSTEM SCIENCE DATA
(2020)
Article
Geochemistry & Geophysics
Siobhan F. Killingbeck, Adam D. Booth, Philip W. Livermore, C. Richard Bates, Landis J. West