Information Technology Skills for Meteorology
Spring 2008 students: Please have all your work submitted by 5 PM Sunday, May 11. Otherwise a grade of "I" will be issued.
The old site still exists, but is slowly being revised and moved to this site.
The 
icon indicates a task has been defined within for Spring Semester 2008.
Doing this for credit For those enrolled, or seeking enrollment, at OU in METR 4330 or METR 5330.
Is your computer ready? You will need to be able to connect to Gentry or an equivalent webserver. You may want to do most of the computing on a PC.
- Basic HTML For those doing this for credit, and needing a password-protected webpage.
- Python Introduction How to get started with Python. The task demonstrates reading and analyzing "flat files" from the mesonet.
- Raster Graphics A task is offered for plotting radar data.
- Vector Graphics Again the task is plotting radar data.
- Numeric/numarray/numpy Fast array extensions for Python number crunching. Also learn how to use javascript to animate PNGs.
- NetCDF Using and storing data in the common file format (for meteorology) NetCDF. You will need to know the array syntax of numpy/Numeric before doing this.
- Statistical Analysis with Python Elementary statistical analysis, emphasizing data preparation and plotting. Uses numpy/Numeric .
Revision Plans:
- next up: uncertain at this time