IN11C:
Python Solutions for the Earth Sciences Posters


Session ID#: 9108

Session Description:
Python is becoming a popular language choice of earth scientists and educators because of its open and flexible programming environment, ease of use, extensibility, and strong scientific community support.  The availability of several existing packages and tools for data analysis, visualization, and parallelization accelerates the pace of scientific discovery and enables scientists to become quickly productive.  The ease of use of the language and the availability of development environments allow scientists to work productively and easily collaborate.  This session will focus on how Python is being used within the earth science community and Python best practices.
Primary Convener:  Sheri A Mickelson, National Center for Atmospheric Research, Boulder, United States
Conveners:  Mary L Haley, National Center for Atmospheric Research, Boulder, CO, United States and John Dennis, National Center for Atmospheric Research, Boulder, CO, United States
Chairs:  Sheri A Mickelson, National Center for Atmospheric Research, Boulder, United States and Mary L Haley, National Center for Atmospheric Research, Boulder, CO, United States
OSPA Liaison:  Sheri A Mickelson, National Center for Atmospheric Research, Boulder, United States
Index Terms:

1916 Data and information discovery [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1932 High-performance computing [INFORMATICS]
1976 Software tools and services [INFORMATICS]

Abstracts Submitted to this Session:

Using the Scientific Python ecosystem to advance open radar science (Invited) (59262)
Scott M Collis and Jonathan Helmus, Argonne National Laboratory, Argonne, IL, United States
Xray: N-dimensional, labeled arrays for analyzing physical datasets in Python (Invited) (71861)
Stephan Hoyer, Climate Corporation, San Francisco, CA, United States
Light-weight Parallel Python Tools for Earth System Modeling Workflows (73174)
Kevin Paul1, Sheri A Mickelson2, Haiying Xu1, John Dennis1 and David I Brown1, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Boulder, United States
HydroUnits: A Python-based Physical Units Management Tool in Hydrologic Computing Systems (63410)
Paul Celicourt, PhD., CUNY City College, New York, NY, United States and Michael Piasecki, University of Michigan Ann Arbor, Ann Arbor, MI, United States
The InSAR Scientific Computing Environment (ISCE): A Python Framework for Earth Science (84336)
Eric Michael Gurrola1, Paul Alan Rosen1, Piyush S. Agram2, Gian Franco Sacco2 and Marco Lavalle2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States
Get More from Your Data with PyFerret (84552)
Eugene F Burger1, Karl Matthew Smith2, Ansley B Manke3, Steve Hankin3 and Kevin O'Brien4, (1)NOAA Pacific Marine Environmental Laboratory, Seattle, United States, (2)JISAO, Univ. of Washington, Seattle, WA, United States, (3)NOAA Seattle, Seattle, WA, United States, (4)University of Washington Seattle Campus, JISAO, Seattle, WA, United States
The CESM Workflow Re-Engineering Project (63581)
Gary Strand, National Center for Atmospheric Research, Boulder, CO, United States
A Python Implementation of an Intermediate-Level Tropical Circulation Model and Implications for How Modeling Science is Done (Invited) (81330)
Johnny Wei-Bing Lin, University of Washington Bothell Campus, Computing and Software Systems Division, Bothell, WA, United States; North Park University, Physics and Engineering Department, Chicago, IL, United States

See more of: Earth and Space Science Informatics