Leslie Hsu
Leslie Hsu is a physical scientist in the USGS Science Analytics and Synthesis (SAS) program. She coordinates the Community for Data Integration.
Leslie Hsu is coordinator of the USGS Community for Data Integration, project coordinator of the USGS Model Catalog, and part of the USGS State of the Data project.
Professional Experience
Physical Scientist, Science Data Management Branch, USGS (2015-present)
Associate Research Scientist, Geoinformatics, Lamont Doherty Earth Observatory (2013-2015)
Postdoctoral Research Scientist, Geoinformatics, Lamont Doherty Earth Observatory (2011-2013)
Postdoctoral Research Scientist, Geomorphology, University of California, Santa Cruz (2010)
Education and Certifications
University of California, Berkeley, Berkeley, CA
Ph.D in Earth & Planetary Science (2010)
Dissertation: Bedrock Erosion by Debris FlowsUniversity of Arizona, Tucson, AZ
M.S. in Geosciences (2002)
Thesis: Dating Quaternary Alluvial Fan Surfaces by Morphological Methods Based on Hillslope DiffusionHarvard University, Cambridge, MA
B.A. in Earth & Planetary Sciences (2000)
Senior thesis: Atmospheric and Oceanic Distributions of Methyl Iodide (CH3I) for Global 3-D models
Science and Products
Community for Data Integration fiscal year 2017 funded project report
Community for Data Integration 2017 annual report
U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings
Grand challenges for integrated USGS science — A workshop report
Community for Data Integration 2016 annual report
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
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Community for Data Integration fiscal year 2017 funded project report
The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 11 projects funded in fiscal year 2017, outlining their goals, activities, and outputs.AuthorsLeslie Hsu, Kate E. Allstadt, Tara M. Bell, Erin E. Boydston, Richard A. Erickson, A. Lance Everette, Erika Lentz, Jeff Peters, Brian Reichert, Sarah Nagorsen, Jason T. Sherba, Richard P. Signell, Mark T. Wiltermuth, John A. YoungCommunity for Data Integration 2017 annual report
The Community for Data Integration (CDI) is a group that helps members grow their expertise on all aspects of working with scientific data. The CDI’s activities advance data and information integration capabilities in the U.S. Geological Survey and in the wider Earth and biological sciences. This annual report describes the presentations, activities, collaboration areas, workshop, and other CDI-spAuthorsLeslie Hsu, Madison L. LangsethU.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings
Executive SummaryThe U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held May 16–19, 2017 at the Denver Federal Center. There were 183 in-person attendees and 35 virtual attendees over four days. The theme of the workshop was “Enabling Integrated Science,” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forAuthorsLeslie Hsu, Vivian B. Hutchison, Madison L. Langseth, Benjamin WheelerGrand challenges for integrated USGS science — A workshop report
Executive SummaryThe U.S. Geological Survey (USGS) has a long history of advancing the traditional Earth science disciplines and identifying opportunities to integrate USGS science across disciplines to address complex societal problems. The USGS science strategy for 2007–2017 laid out key challenges in disciplinary and interdisciplinary arenas, culminating in a call for increased focus on a numbeAuthorsKaren E. Jenni, Martin B. Goldhaber, Julio L. Betancourt, Jill S. Baron, Sky Bristol, Mary Cantrill, Paul E. Exter, Michael J. Focazio, John W. Haines, Lauren E. Hay, Leslie Hsu, Victor F. Labson, Kevin D. Lafferty, K. A. Ludwig, Paul C. D. Milly, Toni L. Morelli, Suzette A. Morman, Nedal T. Nassar, Timothy R. Newman, Andrea C. Ostroff, Jordan S. Read, Sasha C. Reed, Carl D. Shapiro, Richard A. Smith, Ward E. Sanford, Terry L. Sohl, Edward G. Stets, Adam J. Terando, Donald E. Tillitt, Michael A. Tischler, Patricia L. Toccalino, David J. Wald, Mark P. Waldrop, Anne Wein, Jake F. Weltzin, Christian E. ZimmermanCommunity for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponsoAuthorsMadison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-MyersNon-USGS Publications**
Hsu, L.; Mayorga, E.; Horsburgh, J.S.; Carter, M.R.; Lehnert, K.A.; Brantley, S.L. (2017) Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2), Data Science Journal. 16(1), http://doi.org/10.5334/dsj-2017-004.Horsburgh, J.S.; Aufdenkampe, A.K.; Mayorga, E.; Lehnert, K.A.; Hsu, L.; Song, L.; Spackman Jones, A.; Damiano, S.G.; Tarboton, D.G.; Valentine, D.; Zaslavsky, I.; Whitenack, T. (2016) Observations Data Model 2: A community information model for spatially discrete Earth observations, Environmental Modelling and Software, http://doi.org/10.1016/j.envsoft.2016.01.010.Hsu, L.; Martin, R.L.; McElroy, B.; Litwin-Miller, K.; Kim, W. (2015) Data management, sharing and reuse in experimental geomorphology: challenges, strategies, and scientific opportunities, Geomorphology, http://dx.doi.org/10.1016/j.geomorph.2015.03.039.Hsu, L.; Lehnert, K.A.; Goodwillie, A.; Delano, J.W.; Gill, J.B.; Tivey, M.A.; Ferrini, V.L.; Carbotte, S.M.; Arko R.A. (2015) Rescue of long-tail data from the ocean bottom to the Moon: IEDA Data Rescue Mini-Awards, GeoResJ, 6:108-114, http://dx.doi.org/10.1016/j.grj.2015.02.012.Hsu, L.; Dietrich, W.E.; Sklar, L.S. (2014) Mean and fluctuating basal forces generated by granular flows: laboratory observations in a large vertically rotating drum, Journal of Geophysical Research - Earth Surface,doi:10.1002/2013JF003078.
Kaitna, R.; Dietrich, W.E.; Hsu, L., (2014) Surface slopes, velocity profiles and fluid pressure in coarse-grained debris flows saturated with water and mud, Journal of Fluid Mechanics. doi:10.1017/jfm.2013.675.Chen, W.-P. & Hsu L. (2013), Historic Seismicity near the Source Zone of the Great 2008 Wenchuan Earthquake: Implications for Seismic Hazards, Tectonophysics. doi:10.1016/j.tecto.2012.08.035.Yohannes, B.; Hsu L.; Dietrich, W.E. & Hill, K. (2012), Boundary Stresses due to Impacts from Dry Granular Flows, Journal of Geophysical Research - Earth Surface, 117, F02027, doi:10.1029/2011JF002150.Schneider, D.; Kaitna, R.; Dietrich, W.; Hsu, L.; Huggel, C. & McArdell, B. (2011), Frictional behavior of granular gravel-ice mixtures in vertically rotating drum experiments and implications for rock-ice avalanches, Cold Regions Science and Technology 69(1), 70 - 90.Hsu, L.; Finnegan, N. J. & Brodsky, E. E. (2011), A seismic signature of river bedload transport during storm events, Geophys. Res. Lett. 38(13), L13407, http://doi.org/10.1029/2011GL047759.Hill, K.; Yohannes, B.; Dietrich, W. & Hsu, L. (2011), Discrete Element Modeling and Large Scale Experimental Studies of Bouldery Debris Flows, in R. Genevois; D.L. Hamilton & A. Prestininzi, ed., Proceedings of the 5th International Conference on Debris Flow Hazards Mitigation, Mechanics, Prediction and Assessment, Padua, Italy, June 14-17, 2011, Italian Journal of Engineering Geology and Environment.Kaitna, R.; Hsu, L.; Rickenmann, D. & Dietrich, W. (2011), On the development of an unsaturated front of debris flows, in R. Genevois; D.L. Hamilton & A. Prestininzi, ed., Proceedings of the 5th International Conference on Debris Flow Hazards Mitigation, Mechanics, Prediction and Assessment, Padua, Italy, June 14-17, 2011, Italian Journal of Engineering Geology and Environment.Hsu, L.; Kaitna, R.; Dietrich, W. & Sklar, L. (2011), Boundary shear stress of granular flows, in R. Genevois; D.L. Hamilton & A. Prestininzi, ed., Proceedings of the 5th International Conference on Debris Flow Hazards Mitigation, Mechanics, Prediction and Assessment, Padua, Italy, June 14-17, 2011, Italian Journal of Engineering Geology and Environment.Hsu, L.; Dietrich, W. E. & Sklar, L. S. (2008), Experimental study of bedrock erosion by granular flows, J. Geophys. Res. 113(F2), F02001, http://doi.org/10.1029/2007JF000778.Hsu, L., Dietrich, W., & Sklar, L. (2007). Normal stresses, longitudinal profiles, and bedrock surface erosion by debris flows: initial findings from a large, vertically rotating drum. Debris-Flow Hazards Mitigation: Mechanics, Predictions, and Assessment, 141-150.Hsu, L. & Bürgmann, R. (2006), Surface creep along the Longitudinal Valley fault, Taiwan from InSAR measurements, Geophys. Res. Lett. 33(6), L06312, http://doi.org/10.1029/2005GL024624.Hsu, L. & Pelletier, J. D. (2004), Correlation and dating of Quaternary alluvial-fan surfaces using scarp diffusion, Geomorphology 60(3-4), 319 - 335, https://doi.org/10.1016/j.geomorph.2003.08.007Bell, N.; Hsu, L.; Jacob, D. J.; Schultz, M. G.; Blake, D. R.; Butler, J. H.; King, D. B.; Lobert, J. M. & Maier-Reimer, E. (2002), Methyl iodide: Atmospheric budget and use as a tracer of marine convection in global models, J. Geophys. Res. 107(D17), 4340, http://doi.org/10.1029/2001JD001151.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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