Session 6 Data and Forecasting Analysis Tools II

Tuesday, 8 January 2013: 3:30 PM-5:15 PM
Room 12B (Austin Convention Center)
Host: Third Symposium on Advances in Modeling and Analysis Using Python
Chair:
David Brown, NCAR, Boulder, CO

Papers:
3:30 PM
6.1
Using Python as a tool for processing forecast climate data
Ted W. Sammis, New Mexico State Univ., Las Cruces, NM; and S. Engle and D. Vu
Recorded Presentation

3:45 PM
6.2 has been moved to 5.1

4:00 PM
6.3
Forecasting and Analysis with Python: So Easy, a Caveman Can Do It
Kelton T. Halbert, University of Oklahoma, Norman, OK; and W. G. Blumberg
Recorded Presentation

4:15 PM
6.4
Interacting with weather radar data using Python
Scott Collis, Argonne National Laboratory, Argonne, IL; and S. E. Giangrande and K. North
Recorded Presentation

4:30 PM
6.5
Iris: a data analysis & visualisation framework
Richard Hattersley, Met Office, Exeter, United Kingdom
Recorded Presentation

6.6
Identification of summer hailstorm from MSG data using Python
Manuscript (841.9 kB)

4:45 PM
6.7
FORmula TRANslation redefined - a case study implementing the MPDATA advection scheme using OOP techniques
Dorota Jarecka, University of Warsaw, Warsaw, Poland; and S. Arabas, M. Fijalkowski, and A. Jaruga
Recorded Presentation

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