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Short Courses

(Please note that there is an additional fee to attend the following Short Courses. The rates are noted in the registration section.)

AMS Short Course on The Art & Science of Forensic Meteorology
Sunday, 22 January, Starting at 8:00A.M., Room 242

This one-day workshop will provide an introduction and insight into the rapidly expanding field of forensic meteorology and climatology. The workshop is for those from novices to experienced forensic meteorologists. The latest advances in the forensic world as well as what it takes to become an “expert” in any field and in particular in the meteorological and climatological sciences.

AMS Short Course on Space Weather: Space Weather: What is it and who needs to know about it?
Sunday, 22 January, Starting at 8:30A.M., Room 244

This short course will describe the sources of space weather disturbances (solar flares, coronal mass ejections, energetic particles, ionospheric storms) and their potential to disrupt regional and global systems. It will describe the developing models at NOAA’s National Space Weather Prediction Center (SWPC), the federal agency charged with warning the public of potentially damaging space weather events. It will also cover concepts relating space weather to terrestrial weather.

AMS Short Course: A Beginner’s Course to Using Python in Climate and Meteorology
Saturday and Sunday, 21-22 January, Starting at 8:30A.M., Room 238

This course provides a gentle introduction to Python for the atmospheric scientist, specialized to the needs of the field. While we expect all participants will have basic programming experience --- including basic knowledge of variables (integers, floats, strings), loops, conditionals (if/then), and functions --- no other exposure to Python or object-oriented programming is assumed. If you are a moderately experienced Python programmer, this course will be a poor fit for you; please consider taking the other AMS short course "Using Python in Climate and Meteorology: Advanced Methods."

AMS Short Course on Using Python in Climate and Meteorology: Advanced Methods
Saturday and Sunday, 21-22 January, Starting at 8:00A.M., Room 239

The course will span two days and cover mostly features of the new Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT). UV-CDAT is essentially built n top of CDAT version 6 but is slated to replace CDAT itself. The course will introduce UV-CDAT’s new features especially in the visualization realm. It will also help the users to go past CDAT’s basic use and reach into its full power as a complete analysis tool.