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11 results on '"Blankenship, D"'

1. Science potential from a Europa lander.

Author

Pappalardo RT, Vance S, Bagenal F, Bills BG, Blaney DL, Blankenship DD, Brinckerhoff WB, Connerney JE, Hand KP, Hoehler TM, Leisner JS, Kurth WS, McGrath MA, Mellon MT, Moore JM, Patterson GW, Prockter LM, Senske DA, Schmidt BE, Shock EL, Smith DE, and Soderlund KM

Subjects
Oceans and Seas, Exobiology, Geology, Jupiter, Space Flight
Abstract

The prospect of a future soft landing on the surface of Europa is enticing, as it would create science opportunities that could not be achieved through flyby or orbital remote sensing, with direct relevance to Europa's potential habitability. Here, we summarize the science of a Europa lander concept, as developed by our NASA-commissioned Science Definition Team. The science concept concentrates on observations that can best be achieved by in situ examination of Europa from its surface. We discuss the suggested science objectives and investigations for a Europa lander mission, along with a model planning payload of instruments that could address these objectives. The highest priority is active sampling of Europa's non-ice material from at least two different depths (0.5-2 cm and 5-10 cm) to understand its detailed composition and chemistry and the specific nature of salts, any organic materials, and other contaminants. A secondary focus is geophysical prospecting of Europa, through seismology and magnetometry, to probe the satellite's ice shell and ocean. Finally, the surface geology can be characterized in situ at a human scale. A Europa lander could take advantage of the complex radiation environment of the satellite, landing where modeling suggests that radiation is about an order of magnitude less intense than in other regions. However, to choose a landing site that is safe and would yield the maximum science return, thorough reconnaissance of Europa would be required prior to selecting a scientifically optimized landing site.

Published
2013
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2. 4D Proxy Imaging of Fracture Dilation and Stress Shadowing Using Electrical Resistivity Tomography During High Pressure Injections Into a Dense Rock Formation

Author

Johnson, TC, Burghardt, J, Strickland, C, Knox, H, Vermeul, V, White, M, Schwering, P, Blankenship, D, Kneafsey, T, and Team, the EGS Collab

Subjects
Earth Sciences, Geology, Life on Land, resistivity, stress, fracture, imaging, time-lapse, 3D, Geochemistry, Geophysics
Abstract

Fluid flow through fractured rock systems is governed in large part by the distribution, interconnectivity, and size of fracture apertures. In-situ stress is one of the primary factors controlling fracture aperture, and one that is altered significantly during high-pressure fluid injections or extractions. Interactions between stress, pore pressure, aperture, and fluid flow can result in complex and evolving poroelastic behavior with significant implications regarding the predictability and risk involved with developing and managing deep subsurface reservoirs (geothermal, fossil energy, and geologic carbon sequestration). In saturated rocks, bulk electrical conductivity is sensitive to both primary and secondary porosity (i.e., matrix porosity and fractures), and therefore to fracture aperture size and distribution. We demonstrate the use of time-lapse 3D electrical resistivity tomography for remotely monitoring stress induced changes in aperture distribution during high pressure injections into a dense fractured rock system at a scale of tens of meters. Results reveal a complex and continuously evolving stress field involving aperture dilations in the natural fracture system and aperture contractions in adjacent zones of shadow stress. Results provide information about the spatiotemporal changes in the system behavior and point to the potential of electrical imaging for autonomously and remotely monitoring evolving stress conditions by proxy through changes in bulk electrical conductivity.

Published
2021

3. Close Observation of Hydraulic Fracturing at EGS Collab Experiment 1: Fracture Trajectory, Microseismic Interpretations, and the Role of Natural Fractures

Author

Fu, P, Schoenball, M, Ajo-Franklin, JB, Chai, C, Maceira, M, Morris, JP, Wu, H, Knox, H, Schwering, PC, White, MD, Burghardt, JA, Strickland, CE, Johnson, TC, Vermeul, VR, Sprinkle, P, Roberts, B, Ulrich, C, Guglielmi, Y, Cook, PJ, Dobson, PF, Wood, T, Frash, LP, Huang, L, Ingraham, MD, Pope, JS, Smith, MM, Neupane, G, Doe, TW, Roggenthen, WM, Horne, R, Singh, A, Zoback, MD, Wang, H, Condon, K, Ghassemi, A, Chen, H, McClure, MW, Vandine, G, Blankenship, D, and Kneafsey, TJ

Subjects
EGS collab, enhanced geothermal, hydraulic fracturing, microseismic, DTS, natural fractures, Geochemistry, Geology, Geophysics
Abstract

The final version of the above article was posted prematurely on 16 July 2021, owing to a technical error. The final, corrected version of record will be made fully available at a later date.

Published
2021

4. Creation of a Mixed-Mode Fracture Network at Mesoscale Through Hydraulic Fracturing and Shear Stimulation

Author

Schoenball, M, Ajo-Franklin, JB, Blankenship, D, Chai, C, Chakravarty, A, Dobson, P, Hopp, C, Kneafsey, T, Knox, HA, Maceira, M, Robertson, MC, Sprinkle, P, Strickland, C, Templeton, D, Schwering, PC, Ulrich, C, Wood, T, Ajo-Franklin, J, Baumgartner, T, Beckers, K, Bonneville, A, Boyd, L, Brown, S, Burghardt, JA, Chen, T, Chen, Y, Chi, B, Condon, K, Cook, PJ, Crandall, D, Dobson, PF, Doe, T, Doughty, CA, Elsworth, D, Feldman, J, Feng, Z, Foris, A, Frash, LP, Frone, Z, Fu, P, Gao, K, Ghassemi, A, Guglielmi, Y, Haimson, B, Hawkins, A, Heise, J, Horn, M, Horne, RN, Horner, J, Hu, M, Huang, H, Huang, L, Im, KJ, Ingraham, M, Jafarov, E, Jayne, RS, Johnson, TC, Johnson, SE, Johnston, B, Karra, S, Kim, K, King, DK, Knox, H, Knox, J, Kumar, D, Kutun, K, Lee, M, Li, K, Li, Z, Mackey, P, Makedonska, N, Marone, CJ, Mattson, E, McClure, MW, McLennan, J, McLing, T, Medler, C, Mellors, RJ, Metcalfe, E, Miskimins, J, Moore, J, Morency, CE, Morris, JP, Myers, T, Nakagawa, S, Neupane, G, Newman, G, Nieto, A, Paronish, T, Pawar, R, Petrov, P, Pietzyk, B, Podgorney, R, and Polsky, Y

Subjects
induced seismicity, enhanced geothermal systems, mesoscale, Geochemistry, Geology, Geophysics
Abstract

Enhanced Geothermal Systems could provide a substantial contribution to the global energy demand if their implementation could overcome inherent challenges. Examples are insufficient created permeability, early thermal breakthrough, and unacceptable induced seismicity. Here we report on the seismic response of a mesoscale hydraulic fracturing experiment performed at 1.5-km depth at the Sanford Underground Research Facility. We have measured the seismic activity by utilizing a 100-kHz, continuous seismic monitoring system deployed in six 60-m length monitoring boreholes surrounding the experimental domain in 3-D. The achieved location uncertainty was on the order of 1 m and limited by the signal-to-noise ratio of detected events. These uncertainties were corroborated by detections of fracture intersections at the monitoring boreholes. Three intervals of the dedicated injection borehole were hydraulically stimulated by water injection at pressures up to 33 MPa and flow rates up to 5 L/min. We located 1,933 seismic events during several injection periods. The recorded seismicity delineates a complex fracture network comprised of multistrand hydraulic fractures and shear-reactivated, preexisting planes of weakness that grew unilaterally from the point of initiation. We find that heterogeneity of stress dictates the seismic outcome of hydraulic stimulations, even when relying on theoretically well-behaved hydraulic fractures. Once hydraulic fractures intersected boreholes, the boreholes acted as a pressure relief and fracture propagation ceased. In order to create an efficient subsurface heat exchanger, production boreholes should not be drilled before the end of hydraulic stimulations.

Published
2020

5. Optimal design of 3D borehole seismic arrays for microearthquake monitoring in anisotropic media during stimulations in the EGS collab project

Author

Chen, Yu, Huang, Lianjie, Ajo-Franklin, J, Bauer, SJ, Baumgartner, T, Beckers, K, Blankenship, D, Bonneville, A, Boyd, L, Brown, ST, Burghardt, JA, Chen, T, Chen, Y, Condon, K, Cook, PJ, Dobson, PF, Doe, T, Doughty, CA, Elsworth, D, Feldman, J, Foris, A, Frash, LP, Frone, Z, Fu, P, Gao, K, Ghassemi, A, Gudmundsdottir, H, Guglielmi, Y, Guthrie, G, Haimson, B, Hawkins, A, Heise, J, Herrick, CG, Horn, M, Horne, RN, Horner, J, Hu, M, Huang, H, Huang, L, Im, K, Ingraham, M, Johnson, TC, Johnston, B, Karra, S, Kim, K, King, DK, Kneafsey, T, Knox, H, Knox, J, Kumar, D, Kutun, K, Lee, M, Li, K, Lopez, R, Maceira, M, Makedonska, N, Marone, C, Mattson, E, McClure, MW, McLennan, J, McLing, T, Mellors, RJ, Metcalfe, E, Miskimins, J, Morris, JP, Nakagawa, S, Neupane, G, Newman, G, Nieto, A, Oldenburg, CM, Pan, W, Pawar, R, Petrov, P, Pietzyk, B, Podgorney, R, Polsky, Y, Porse, S, Richard, S, Roberts, BQ, Robertson, M, Roggenthen, W, Rutqvist, J, Rynders, D, Santos-Villalobos, H, Schoenball, M, Schwering, P, Sesetty, V, Singh, A, Smith, MM, Sone, H, Strickland, CE, Su, J, Ulrich, C, Uzunlar, N, Vachaparampil, A, Valladao, CA, Vandermeer, W, Vandine, G, Vardiman, D, and Vermeul, VR

Subjects
Anisotropic media, Borehole monitoring, Enhanced geothermal systems, Focal mechanism, Hypocenter location, Microearthquake, Optimal design, Geochemistry & Geophysics, Geology, Geophysics, Resources Engineering and Extractive Metallurgy
Published
2019

6. Preface

Author

Blankenship, D, Dobson, P, Garg, S, Ghassemi, A, and Kohl, T

Subjects
Geochemistry & Geophysics, Geophysics, Geology, Resources Engineering and Extractive Metallurgy
Published
2016

7. A detailed radiostratigraphic data set for the central East Antarctic Plateau spanning from the Holocene to the mid-Pleistocene

Author

M. G. P. Cavitte, D. A. Young, R. Mulvaney, C. Ritz, J. S. Greenbaum, G. Ng, S. D. Kempf, E. Quartini, G. R. Muldoon, J. Paden, M. Frezzotti, J. L. Roberts, C. R. Tozer, D. M. Schroeder, D. D. Blankenship, Jackson School of Geosciences (JSG), University of Texas at Austin [Austin], Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), UCL - SST/ELI/ELIC - Earth & Climate, Cavitte, M. G. P., Young, D. A., Mulvaney, R., Ritz, C., Greenbaum, J. S., Ng, G., Kempf, S. D., Quartini, E., Muldoon, G. R., Paden, J., Frezzotti, M., Roberts, J. L., Tozer, C. R., Schroeder, D. M., and Blankenship, D. D.

Subjects
010504 meteorology & atmospheric sciences, Pleistocene, Ice stream, 010502 geochemistry & geophysics, 01 natural sciences, law.invention, Ice core, law, Group (stratigraphy), GE1-350, Glacial period, Radar, radar stratigraphy, Holocene, 0105 earth and related environmental sciences, Dome C, QE1-996.5, Geology, cryosphere, Data set, Environmental sciences, 13. Climate action, [SDU]Sciences of the Universe [physics], General Earth and Planetary Sciences, Antarctica, Physical geography
Abstract

We present an ice-penetrating radar data set which consists of 26 internal reflecting horizons (IRHs) that cover the entire Dome C area of the East Antarctic plateau, the most extensive to date in the region. This data set uses radar surveys collected over the space of 10 years, starting with an airborne international collaboration in 2008 to explore the region, up to the detailed ground-based surveys in support of the Beyond EPICA – Oldest Ice (BE-OI) European Consortium. Through direct correlation with the EPICA-DC ice core, we date 19 IRHs that span the past four glacial cycles, from 10 ka, beginning of the Holocene, to over 350 ka, ranging from 10 % to 83 % of the ice thickness at the EPICA-DC ice core site. We indirectly date and provide stratigraphic information for seven older IRHs using a 1D ice flow inverse model, going back to an estimated 700 ka. Depth and age uncertainties are quantified for all IRHs and provided as part of the data set. The IRH data set presented in this study is available at the US Antarctic Program Data Center (USAP-DC) (https://doi.org/10.15784/601411, Cavitte et al., 2020) and represents a contribution to the SCAR AntArchitecture action group (AntArchitecture, 2017).

Published
2021
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8. High-resolution boundary conditions of an old ice target near Dome C, Antarctica

Author

D. A. Young, J. L. Roberts, C. Ritz, M. Frezzotti, E. Quartini, M. G. P. Cavitte, C. R. Tozer, D. Steinhage, S. Urbini, H. F. J. Corr, T. van Ommen, D. D. Blankenship, Frezzotti, M., Young, D. A., Roberts, J. L., Ritz, C., Quartini, E., Cavitte, M. G. P., Tozer, C. R., Steinhage, D., Urbini, S., Corr, H. F. J., Van Ommen, T., and Blankenship, D. D.

Subjects
010504 meteorology & atmospheric sciences, Ice stream, 0207 environmental engineering, Antarctic ice sheet, 02 engineering and technology, Antarctic sea ice, 010502 geochemistry & geophysics, 01 natural sciences, Cryosphere, Ice divide, 020701 environmental engineering, lcsh:Environmental sciences, 0105 earth and related environmental sciences, Earth-Surface Processes, Water Science and Technology, Remote sensing, lcsh:GE1-350, Drift ice, geography, geography.geographical_feature_category, lcsh:QE1-996.5, Geodesy, Arctic ice pack, lcsh:Geology, 13. Climate action, Sea ice thickness, Geology
Abstract

A high-resolution (1 km line spacing) aerogeophysical survey was conducted over a region near the East Antarctic Ice Sheet's Dome C that may hold a 1.5 Myr climate record. We combined new ice thickness data derived from an airborne coherent radar sounder with unpublished data that was in part unavailable for earlier compilations, and we were able to remove older data with high positional uncertainties. We generated a revised high-resolution digital elevation model (DEM) to investigate the potential for an old ice record in this region, and used laser altimetry to confirm a Cryosat-2 derived DEM for inferring the glaciological state of the candidate area. By measuring the specularity content of the bed, we were able to find an additional 50 subglacial lakes near the candidate site, and by Doppler focusing the radar data, we were able to map out the roughness of the bed at length scales of hundreds of meters. We find that the primary candidate region contains elevated rough topography interspersed with scattered subglacial lakes and some regions of smoother bed. Free subglacial water appears to be restricted from bed overlain by ice thicknesses of less than 3000 m. A site near the ice divide was selected for further investigation. The high resolution of this ice thickness data set also allows us to explore the nature of ice thickness uncertainties in the context of radar geometry and processing.

Published
2017
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9. Accumulation patterns around Dome C, East Antarctica, in the last 73 kyr

Author

M. G. P. Cavitte, F. Parrenin, C. Ritz, D. A. Young, B. Van Liefferinge, D. D. Blankenship, M. Frezzotti, J. L. Roberts, Cavitte, M. G. P., Parrenin, F., Ritz, C., Young, A., Van Liefferinge, B., Blankenship, D. D., Frezzotti, M., Roberts, J. L., Institute for Geophysics, University of Texas at Dallas [Richardson] (UT Dallas), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), EDGe, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Ente per le Nuove Tecnologie, l'Energia e l'Ambiente (ENEA), Centro Ricerche Casaccia, University of Queensland [Brisbane], Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Observatoire des Sciences de l'Univers de Grenoble (OSUG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), and Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])

Subjects
010506 paleontology, 010504 meteorology & atmospheric sciences, Ice stream, 01 natural sciences, Dome (geology), Prevailing winds, Ice core, Precipitation, Glacial period, [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology, Geomorphology, lcsh:Environmental sciences, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Earth-Surface Processes, Water Science and Technology, lcsh:GE1-350, Géologie et minéralogie, Advection, lcsh:QE1-996.5, Snow, lcsh:Geology, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, théorie et applications [Econométrie et méthodes statistiques], Geology
Abstract

We reconstruct the pattern of surface accumulation in the region around Dome C, East Antarctica, since the last glacial. We use a set of 18 isochrones spanning all observable depths of the ice column, interpreted from various ice-penetrating radar surveys and a 1-D ice flow model to invert for accumulation rates in the region. The shallowest four isochrones are then used to calculate paleoaccumulation rates between isochrone pairs using a 1-D assumption where horizontal advection is negligible in the time interval of each layer. We observe that the large-scale (100sĝ€km) surface accumulation gradient is spatially stable through the last 73ĝ€kyr, which reflects current modeled and observed precipitation gradients in the region. We also observe small-scale (10ĝ€sĝ€km) accumulation variations linked to snow redistribution at the surface, due to changes in its slope and curvature in the prevailing wind direction that remain spatially stationary since the last glacial., SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2018
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10. Refined broad-scale sub-glacial morphology of Aurora Subglacial Basin, East Antarctica derived by an ice-dynamics-based interpolation scheme

Author

Donald D. Blankenship, Massimo Frezzotti, Achille Zirizzotti, Jason L. Roberts, T. D. van Ommen, Martin J. Siegert, Duncan A. Young, A. Forieri, A. Passerini, Neal Young, Ignazio E. Tabacco, A. P. Wright, Roland C. Warner, Roberts, J. L., Warner, R. C., Young, D., Wright, A., Van Ommen, T. D., Blankenship, D. D., Siegert, M., Young, N. W., Tabacco, I. E., Forieri, A., Passerini, A., Zirizzotti, A., and Frezzotti, M.

Subjects
010504 meteorology & atmospheric sciences, Antarctic ice sheet, TOPOGRAPHY, Structural basin, 010502 geochemistry & geophysics, 01 natural sciences, 010305 fluids & plasmas, law.invention, law, THICKNESS, 0103 physical sciences, Cryosphere, Glacial period, Radar, Geomorphology, lcsh:Environmental sciences, 0105 earth and related environmental sciences, Earth-Surface Processes, Water Science and Technology, lcsh:GE1-350, geography, geography.geographical_feature_category, lcsh:QE1-996.5, RADAR, MODEL, lcsh:Geology, 13. Climate action, BALANCE, SHEET, Ice sheet, Scale (map), Geology, Interpolation
Abstract

Ice thickness data over much of East Antarctica are sparse and irregularly distributed. This poses difficulties for reconstructing the homogeneous coverage needed to properly assess underlying sub-glacial morphology and fundamental geometric constraints on sea level rise. Here we introduce a new physically-based ice thickness interpolation scheme and apply this to existing ice thickness data in the Aurora Subglacial Basin region. The skill and robustness of the new reconstruction is demonstrated by comparison with new data from the ICECAP project. The interpolated morphology shows an extensive marine-based ice sheet, with considerably more area below sea-level than shown by prior studies. It also shows deep features connecting the coastal grounding zone with the deepest regions in the interior. This has implications for ice sheet response to a warming ocean and underscores the importance of obtaining additional high resolution data in these marginal zones for modelling ice sheet evolution.

Published
2011
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11. Jupiter ICY moon explorer (JUICE): Advances in the design of the radar for Icy Moons (RIME)

Author

Davide Castelletti, Lorenzo Bruzzone, Bruce A. Campbell, Elena Pettinelli, Roberto Orosei, Dirk Plettemeier, Yonggyu Gim, Giovanni Alberti, A. Moussessian, Wlodek Kofman, Francesca Bovolo, Claudia Notarnicola, Giuseppe Mitri, Goro Komatsu, G. W. Patterson, Ana-Maria Ilisei, Jeffrey J. Plaut, Donald D. Blankenship, W. McKinnon, IEEE, Bruzzone, L., Plaut, J. J., Alberti, G., Blankenship, D. D., Bovolo, F., Campbell, B. A., Castelletti, D., Gim, Y., Ilisei, A. M., Kofman, W., Komatsu, G., Mckinnon, W., Mitri, G., Moussessian, A., Notarnicola, C., Orosei, R., Patterson, G. W., Pettinelli, Elena, and Plettemeier, D.

Subjects
RIME, Hard rime, Jovian system, Astrophysics::Instrumentation and Methods for Astrophysics, Computer Science Applications1707 Computer Vision and Pattern Recognition, radar design, Icy moon, ice penetrating radar, icy moon, Astrobiology, law.invention, Physics::Geophysics, Jupiter, Exploration of Jupiter, radar sounder, law, Physics::Space Physics, planetary exploration, Astrophysics::Earth and Planetary Astrophysics, Radar, Earth and Planetary Sciences (all), Geology, Physics::Atmospheric and Oceanic Physics, Planetary exploration, JUICE
Abstract

This paper presents the Radar for Icy Moon Exploration (RIME) that is a fundamental payload in the Jupiter Icy Moon Explorer (JUICE) mission of the European Space Agency (ESA). RIME is a radar sounder aimed to study the subsurface of Jupiter's icy moons Ganymede, Europa and Callisto. The paper illustrates the main goals of RIME, its architecture and parameters and some recent advances in its design.

Published
2015

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