IEDA
Project Information
Center for Remote Sensing of Ice Sheets (CReSIS)
Description/Abstract
This award is for the continuation of the Center for Remote Sensing of Ice Sheets (CReSIS), an NSF Science and Technology Center (STC) established in June 2005 to study present and probable future contributions of the Greenland and Antarctic ice sheets to sea-level rise. The Center?s vision is to understand and predict the role of polar ice sheets in sea level change. In particular, the Center?s mission is to develop technologies, to conduct field investigations, to compile data to understand why many outlet glaciers and ice streams are changing rapidly, and to develop models that explain and predict ice sheet response to climate change. The Center?s mission is also to educate and train a diverse population of graduate and undergraduate students in Center-related disciplines and to encourage K-12 students to pursue careers in science, technology, engineering and mathematics (STEM-fields). The long-term goals are to perform a four-dimensional characterization (space and time) of rapidly changing ice-sheet regions, develop diagnostic and predictive ice-sheet models, and contribute to future assessments of sea level change in a warming climate. In the first five years, significant progress was made in developing, testing and optimizing innovative sensors and platforms and completing a major aircraft campaign, which included sounding the channel under Jakobshavn Isbræ. In the second five years, research will focus on the interpretation of integrated data from a suite of sensors to understand the physical processes causing changes and the subsequent development and validation of models. Information about CReSIS can be found at http://www.cresis.ku.edu.

The intellectual merits of the STC are the multidisciplinary research it enables its faculty, staff and students to pursue, as well as the broad education and training opportunities it provides to students at all levels. During the first phase, the Center provided scientists and engineers with a collaborative research environment and the opportunity to interact, enabling the development of high-sensitivity radars integrated with several airborne platforms and innovative seismic instruments. Also, the Center successfully collected data on ice thickness and bed conditions, key variables in the study of ice dynamics and the development of models, for three major fast-flowing glaciers in Greenland. During the second phase, the Center will collect additional data over targeted sites in areas undergoing rapid changes; process, analyze and interpret collected data; and develop advanced process-oriented and ice sheet models to predict future behavior. The Center will continue to provide a rich environment for multidisciplinary education and mentoring for undergraduate students, graduate students, and postdoctoral fellows, as well as for conducting K-12 education and public outreach. The broader impacts of the Center stem from addressing a global environmental problem with critical societal implications, providing a forum for citizens and policymakers to become informed about climate change issues, training the next generation of scientists and engineers to serve the nation, encouraging underrepresented students to pursue careers in STEM-related fields, and transferring new technologies to industry. Students involved in the Center find an intellectually stimulating atmosphere where collaboration between disciplines is the norm and exposure to a wide variety of methodologies and scientific issues enriches their educational experience. The next generation of researchers should reflect the diversity of our society; the Center will therefore continue its work with ECSU to conduct outreach and educational programs that attract minority students to careers in science and technology. The Center has also established a new partnership with ADMI that supports faculty and student exchanges at the national level and provides expanded opportunities for students and faculty to be involved in Center-related research and education activities. These, and other collaborations, will provide broader opportunities to encourage underrepresented students to pursue STEM careers.

As lead institution, The University of Kansas (KU) provides overall direction and management, as well as expertise in radar and remote sensing, Uninhabited Aerial Vehicles (UAVs), and modeling and interpretation of data. Five partner institutions and a DOE laboratory play critical roles in the STC. The Pennsylvania State University (PSU) continues to participate in technology development for seismic measurements, field activities, and modeling. The Center of Excellence in Remote Sensing, Education and Research (CERSER) at Elizabeth City State University (ECSU) contributes its expertise to analyzing satellite data and generating high-level data products. ECSU also brings to the Center their extensive experience in mentoring and educating traditionally under-represented students. ADMI, the Association of Computer and Information Science/Engineering Departments at Minority Institutions, expands the program?s reach to underrepresented groups at the national level. Indiana University (IU) provides world-class expertise in CI and high-performance computing to address challenges in data management, processing, distribution and archival, as well as high-performance modeling requirements. The University of Washington (UW) provides expertise in satellite observations of ice sheets and process-oriented interpretation and model development. Los Alamos National Laboratory (LANL) contributes in the area of ice sheet modeling. All partner institutions are actively involved in the analysis and interpretation of observational and numerical data sets.
Personnel
Person Role
Braaten, David Investigator
Joughin, Ian Co-Investigator
Steig, Eric J. Co-Investigator
Das, Sarah Co-Investigator
Paden, John Co-Investigator
Gogineni, Prasad Investigator
Funding
Antarctic Glaciology Award # 0424589
Antarctic Organisms and Ecosystems Award # 0424589
AMD - DIF Record(s)
Data Management Plan
None in the Database
Product Level:
Not provided
Datasets
Publications
  1. Walker, R. T., Parizek, B. R., Alley, R. B., Brunt, K. M., & Anandakrishnan, S. (2014). Ice-shelf flexure and tidal forcing of Bindschadler Ice Stream, West Antarctica. Earth and Planetary Science Letters, 395, 184–193. (doi:10.1016/j.epsl.2014.03.049)
  2. Walker, R. T., Christianson, K., Parizek, B. R., Anandakrishnan, S., & Alley, R. B. (2012). A viscoelastic flowline model applied to tidal forcing of Bindschadler Ice Stream, West Antarctica. Earth and Planetary Science Letters, 319-320, 128–132. (doi:10.1016/j.epsl.2011.12.019)
  3. Nowicki, S., Bindschadler, R. A., Abe-Ouchi, A., Aschwanden, A., Bueler, E., Choi, H., … Wang, W. L. (2013). Insights into spatial sensitivities of ice mass response to environmental change from the SeaRISE ice sheet modeling project I: Antarctica. Journal of Geophysical Research: Earth Surface, 118(2), 1002–1024. (doi:10.1002/jgrf.20081)
  4. Hay, C., Mitrovica, J. X., Morrow, E., Kopp, R. E., Huybers, P., & Alley, R. B. (2016). Earth rotation changes since −500 CE driven by ice mass variations. Earth and Planetary Science Letters, 448, 115–121. (doi:10.1016/j.epsl.2016.05.020)
  5. Muto, A., Christianson, K., Horgan, H. J., Anandakrishnan, S., & Alley, R. B. (2013). Bathymetry and geological structures beneath the Ross Ice Shelf at the mouth of Whillans Ice Stream, West Antarctica, modeled from ground-based gravity measurements. Journal of Geophysical Research: Solid Earth, 118(8), 4535–4546. (doi:10.1002/jgrb.50315)
  6. Horgan, H. J., Hulbe, C., Alley, R. B., Anandakrishnan, S., Goodsell, B., Taylor‐Offord, S., & Vaughan, M. J. (2017). Poststagnation Retreat of Kamb Ice Stream’s Grounding Zone. Geophysical Research Letters, 44(19), 9815–9822. (doi:10.1002/2017gl074986)
  7. Lampkin, D. J., Amador, N., Parizek, B. R., Farness, K., & Jezek, K. (2013). Drainage from water-filled crevasses along the margins of Jakobshavn Isbrae: A potential catalyst for catchment expansion. Journal of Geophysical Research: Earth Surface, 118(2), 795–813. (doi:10.1002/jgrf.20039)
  8. Liu, P., Mendoza, J., Hu, H., Burkett, P. G., Urbina, J. V., Anandakrishnan, S., & Bilen, S. G. (2019). Software-Defined Radar Systems for Polar Ice-Sheet Research. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(3), 803–820. (doi:10.1109/jstars.2019.2895616)
  9. Holschuh, N., Christianson, K., Anandakrishnan, S., Alley, R. B., & Jacobel, R. W. (2016). Constraining attenuation uncertainty in common midpoint radar surveys of ice sheets. Journal of Geophysical Research: Earth Surface, 121(10), 1876–1890. (doi:10.1002/2016jf003942)
  10. Picotti, S., Vuan, A., Carcione, J. M., Horgan, H. J., & Anandakrishnan, S. (2015). Anisotropy and crystalline fabric of Whillans Ice Stream (West Antarctica) inferred from multicomponent seismic data. Journal of Geophysical Research: Solid Earth, 120(6), 4237–4262. (doi:10.1002/2014jb011591)
  11. Horgan, H. J., Anderson, B., Alley, R. B., Chamberlain, C. J., Dykes, R., Kehrl, L. M., & Townend, J. (2015). Glacier velocity variability due to rain-induced sliding and cavity formation. Earth and Planetary Science Letters, 432, 273–282. (doi:10.1016/j.epsl.2015.10.016)
  12. Muto, A., Peters, L. E., Gohl, K., Sasgen, I., Alley, R. B., Anandakrishnan, S., & Riverman, K. L. (2016). Subglacial bathymetry and sediment distribution beneath Pine Island Glacier ice shelf modeled using aerogravity and in situ geophysical data: New results. Earth and Planetary Science Letters, 433, 63–75. (doi:10.1016/j.epsl.2015.10.037)
  13. Winberry, J. P., Anandakrishnan, S., Wiens, D. A., Alley, R. B., & Christianson, K. (2011). Dynamics of stick–slip motion, Whillans Ice Stream, Antarctica. Earth and Planetary Science Letters, 305(3-4), 283–289. (doi:10.1016/j.epsl.2011.02.052)
  14. Galeotti, S., DeConto, R., Naish, T., Stocchi, P., Florindo, F., Pagani, M., … Zachos, J. C. (2016). Antarctic Ice Sheet variability across the Eocene-Oligocene boundary climate transition. Science, 352(6281), 76–80. (doi:10.1126/science.aab0669)
  15. Kim, A. R., Keshmiri, S., Huang, W., & Garcia, G. (2016). Guidance of Multi-Agent Fixed-Wing Aircraft Using a Moving Mesh Method. Unmanned Systems, 04(03), 227–244. (doi:10.1142/s2301385016500084)
  16. Sime, L. C., Karlsson, N. B., Paden, J. D., & Prasad Gogineni, S. (2014). Isochronous information in a Greenland ice sheet radio echo sounding data set. Geophysical Research Letters, 41(5), 1593–1599. (doi:10.1002/2013gl057928)
  17. MacGregor, J. A., Li, J., Paden, J. D., Catania, G. A., Clow, G. D., Fahnestock, M. A., … Stillman, D. E. (2015). Radar attenuation and temperature within the Greenland Ice Sheet. Journal of Geophysical Research: Earth Surface, 120(6), 983–1008. (doi:10.1002/2014jf003418)
  18. MacGregor, J. A., Fahnestock, M. A., Catania, G. A., Aschwanden, A., Clow, G. D., Colgan, W. T., … Seroussi, H. (2016). A synthesis of the basal thermal state of the Greenland Ice Sheet. Journal of Geophysical Research: Earth Surface, 121(7), 1328–1350. (doi:10.1002/2015jf003803)
  19. Christianson, K., Bushuk, M., Dutrieux, P., Parizek, B. R., Joughin, I. R., Alley, R. B., … Holland, D. M. (2016). Sensitivity of Pine Island Glacier to observed ocean forcing. Geophysical Research Letters, 43(20), 10,817–10,825. (doi:10.1002/2016gl070500)
  20. Picotti, S., Carcione, J. M., & Pavan, M. (2024). Seismic attenuation in Antarctic firn. The Cryosphere, 18(1), 169–186. (doi:10.5194/tc-18-169-2024)
  21. Poinar, K., Joughin, I., Lilien, D., Brucker, L., Kehrl, L., & Nowicki, S. (2017). Drainage of Southeast Greenland Firn Aquifer Water through Crevasses to the Bed. Frontiers in Earth Science, 5. (doi:10.3389/feart.2017.00005)
  22. Christianson, K., Peters, L. E., Alley, R. B., Anandakrishnan, S., Jacobel, R. W., Riverman, K. L., … Keisling, B. A. (2014). Dilatant till facilitates ice-stream flow in northeast Greenland. Earth and Planetary Science Letters, 401, 57–69. (doi:10.1016/j.epsl.2014.05.060)
  23. Miège, C., Forster, R. R., Brucker, L., Koenig, L. S., Solomon, D. K., Paden, J. D., … Gogineni, S. (2016). Spatial extent and temporal variability of Greenland firn aquifers detected by ground and airborne radars. Journal of Geophysical Research: Earth Surface, 121(12), 2381–2398. (doi:10.1002/2016jf003869)
  24. Pollard, D., DeConto, R. M., & Alley, R. B. (2015). Potential Antarctic Ice Sheet retreat driven by hydrofracturing and ice cliff failure. Earth and Planetary Science Letters, 412, 112–121. (doi:10.1016/j.epsl.2014.12.035)
  25. Zoet, L. K., Ikari, M. J., Alley, R. B., Marone, C., Anandakrishnan, S., Carpenter, B. M., & Scuderi, M. M. (2020). Application of Constitutive Friction Laws to Glacier Seismicity. Geophysical Research Letters, 47(21). (doi:10.1029/2020gl088964)
  26. Picotti, S., Carcione, J. M., & Pavan, M. (2023). Seismic attenuation in Antarctic firn. (doi:10.5194/tc-2023-19)
  27. Brangers, I., Lievens, H., Miège, C., Demuzere, M., Brucker, L., & De Lannoy, G. J. M. (2020). Sentinel‐1 Detects Firn Aquifers in the Greenland Ice Sheet. Geophysical Research Letters, 47(3). (doi:10.1029/2019gl085192)
  28. Carr, J. R., Vieli, A., & Stokes, C. (2013). Influence of sea ice decline, atmospheric warming, and glacier width on marine-terminating outlet glacier behavior in northwest Greenland at seasonal to interannual timescales. Journal of Geophysical Research: Earth Surface, 118(3), 1210–1226. (doi:10.1002/jgrf.20088)
  29. Koellner, S., B.R. Parizek, R.B. Alley, A. Muto and N. Holschuh. 2019. The impact of spatially-variable basal properties on outlet glacier flow. Earth and Planetary Science Letters 515, 200-208, doi:10.1016/j.epsl.2019.03.026 (doi:10.1016/j.epsl.2019.03.026)
  30. Joughin, I., Shean, D. E., Smith, B. E., & Dutrieux, P. (2016). Grounding line variability and subglacial lake drainage on Pine Island Glacier, Antarctica. Geophysical Research Letters, 43(17), 9093–9102. (doi:10.1002/2016gl070259)
  31. Larsen, S. H., Khan, S. A., Ahlstrøm, A. P., Hvidberg, C. S., Willis, M. J., & Andersen, S. B. (2016). Increased mass loss and asynchronous behavior of marine‐terminating outlet glaciers at Upernavik Isstrøm, NW Greenland. Journal of Geophysical Research: Earth Surface, 121(2), 241–256. (doi:10.1002/2015jf003507)
  32. Holschuh, N., Parizek, B. R., Alley, R. B., & Anandakrishnan, S. (2017). Decoding ice sheet behavior using englacial layer slopes. Geophysical Research Letters, 44(11), 5561–5570. (doi:10.1002/2017gl073417)
  33. Joughin, I., Smith, B. E., Howat, I. M., Floricioiu, D., Alley, R. B., Truffer, M., & Fahnestock, M. (2012). Seasonal to decadal scale variations in the surface velocity of Jakobshavn Isbrae, Greenland: Observation and model-based analysis. Journal of Geophysical Research: Earth Surface, 117(F2), n/a–n/a. (doi:10.1029/2011jf002110)
  34. Anandakrishnan, S., Bilén, S. G., Urbina, J. V., Bock, R. G., Burkett, P. G., & Portelli, J. P. (2021). The geoPebble System: Design and Implementation of a Wireless Sensor Network of GPS-Enabled Seismic Sensors for the Study of Glaciers and Ice Sheets. Geosciences, 12(1), 17. (doi:10.3390/geosciences12010017)
  35. Walker, R. T., Parizek, B. R., Alley, R. B., Anandakrishnan, S., Riverman, K. L., & Christianson, K. (2013). Ice-shelf tidal flexure and subglacial pressure variations. Earth and Planetary Science Letters, 361, 422–428. (doi:10.1016/j.epsl.2012.11.008)
Platforms and Instruments

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