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Advances in Using Python in the Atmospheric and Oceanic Sciences

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Monday, 5 January 2015: 2:30 PM-4:00 PM
Host: Fifth Symposium on Advances in Modeling and Analysis Using Python
Chair:  Mary Haley, NCAR, Boulder, CO

This session covers the breadth of recent advances in using Python for data analysis, visualization, workflow integration, modeling, and teaching.

Papers:
 
394
Toolbox for Evaluating Ensembles Using an Information Gain Measure
Hannah Aizenman, City College of New York, New York, NY; and M. Grossberg, I. Gladkova, and N. Krakauer

Handout (1.7 MB)

 
395
GeoJS: Web Geospatial Visualization Library for Climate and Geospatial Datasets
Aashish Chaudhary, Kitware, Clifton Park, NY; and C. Harris and J. D. Beezley

 
396
Parallel-UVCDAT / Python for Diurnal Cycle Analysis
Curt Covey, LLNL, Livermore, CA; and C. Doutriaux and D. Williams

 
397
Early experience on cloud microphysics modeling with Python
Davide Del Vento, NCAR, Boulder, CO; and D. Jarecka and S. Arabas

Handout (1.7 MB)

 
398
Accessing NetCDF4 Data in Python
Ward Fisher, UCAR/NCAR, Boulder, CO

 
399
Dataflow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKit
Joseph P. Garcia, Univ. of Wisconsin, Madison, WI; and E. Eloranta and R. K. Garcia

 
400
Ensemble Model Visualization and Decision Support Tools with Python
Steven J. Greybush, Penn State Univ., University Park, PA; and R. H. Grumm

 
401
Examples of Python-based Ensemble Displays for Decision Support
Richard Grumm, NOAA/NWSFO, State College, PA; and S. J. Greybush

 
402
SHARPpy: Fueling the Python Cult
Kelton T. Halbert, University of Oklahoma, Norman, OK; and W. G. Blumberg and P. Marsh
Manuscript (607.2 kB)

Handout (38.6 MB)

 
403
PyDisdrometer: A Python Library for Disdrometer Data Processing and Radar Simulation
Joseph Hardin, Colorado State Univ., Fort Collins, CO; and V. Chandrasekar

 
404
Cartopy and Tephi: Open source Python packages for visualising geospatial and thermodynamic data
Bill Little, Met Office, Exeter, United Kingdom; and R. Hattersley

Handout (3.0 MB)

 
405
Iris and pyugrid: Consistent access to structured and unstructured grids
Bill Little, Met Office, Exeter, United Kingdom; and R. Hattersley

Handout (2.0 MB)

 
Poster 406 will now be presented as 3.4A

 
407
Determination of Meso-Gamma Scale Wind Flow in Complex Terrain Utilizing Python
Erik D. Kabela, ORNL, Oak Ridge, TN

 
408
Using Python as an Integrated Software Platform for the PACRAIN Program
Michael D. Klatt, University of Oklahoma, Norman, OK; and J. S. Greene and M. L. Morrissey

Handout (660.8 kB)

 
409
Computation, Analysis and Visualization of In-Situ and Remote Sensing Data using Python
Jared Rennie, Cooperative Institute for Climate and Satellites/North Carolina State University, Asheville, NC; and A. Buddenberg, K. Gassert, R. D. Leeper, L. E. Stevens, and S. E. Stevens

Handout (3.5 MB)

 
410
Accessing McIDAS ADDE Satellite Data Servers in Python
Jerrold O. Robaidek, CIMSS/Univ. of Wisconsin, Madison, WI; and R. Garcia, D. A. Santek, D. Parker, and D. Stettner

 
411
A Python-Based Plotter for Model-Derived Polarimetric Radar Variables
Timothy A. Supinie, CAPS/Univ. of Oklahoma, Norman, OK; and D. T. Dawson II and Y. Jung

 
412
Pyodec: Streamline and standardize methods for decoding non-structured data files
Joseph S. Young, University of Utah, Salt Lake City, UT

 
413
Python-Powered GIS Products at the MRCC
Zoe A. Zaloudek, ISWS, Champaign, IL

Handout (4.7 MB)

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