[CentralOH] AMS Short Course on Using Python in Climate and Meteorology

Eric Floehr eric at intellovations.com
Fri Oct 22 00:31:45 CEST 2010

I was super excited to find out that the American Meteorological Society is
putting on a two-day Python course before their huge annual meeting, which
this coming year will be in Seattle.  I just had to share :-)...

AMS Short Course on Using Python in Climate and Meteorology, 22–23 January
2011, Seattle, WA *
      The AMS Short Course on Using Python in Climate and Meteorology will
be held on January 22–23, 2011 preceding the 91st AMS Annual Meeting in
Seattle, WA. Preliminary programs, registration, hotel, and general
information will be posted on the AMS Web site (
http://www.ametsoc.org/MEET/annual/index.html) at a later date.

      In recent years the use of Python in the climate and meteorological
communities has seen a sharp increase. Many powerful tools have been
developed in Python and have reach maturity, such as, for example the
Climate Data Analysis Tools (CDAT). In parallel the success of
Intergovernmental Panel on Climate Change, Fourth Assessment report (IPCC
AR4) has led to new technologies relying heavily on the Python programming
language for their user interface (e.g. the Earth System Grid).

      Unfortunately both these communities still have deep roots into
FORTRAN programming, and the transition to the next generation of tools
isn’t necessarily easy.

      The goal of the course is to help the student to become familiar with
Python programming in general and Python tools in the climate/meteorological
communities in particular. It should help “demystify” Python and
“object-oriented” programming. But the course is also targeting users with
Python experience. It aims at helping more experienced programmers to
sharpen their skills and discover new tools and techniques they can bring
back into their every-day work.

      The course will be divided into 4 parts. The first part will present
the Python programming language. The second part will introduce users to the
most advanced Python-based set of tools available to the community: CDAT.
The third part will demonstrate how to use Python to access one of the most
extensive data resources available: the Earth System Grid. The last part
will be a case study of integrative atmospheric science modeling and
analysis using Python.

      The course format consists of two days of lectures mixed with hands on
laboratory session with exercises that can be completed any time during the
conference. The person responsible for the course is Charles Doutriaux,
Program for Climate Model Diagnosis and Intercomparison (PCMDI), at Lawrence
Livermore National Laboratory.

      Students will be on their own for lunch both days. Students should
bring a fully-charged laptop with wireless card to the course.

      For more information please contact Charles Doutriaux at PCMDI, L-103,
LLNL, 7000 East ave, Livermore, CA, 94550 (tel: 925-422-1487; email:
doutriaux1 at llnl.gov ). (9/10)
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