Forecast plotting
Both the forecast plotting script and the website creation script is based on python. The plotting script uses dynlib, the website creating script uses django the same library that also drives plikt.org.
Preparations
Prepare dynlib
To get started, make sure you have followed the procedures to setup dynlib. Use the Guide to use the centrally installed dynlib. If you want to start developing own diagnostics, follow also the Quick start to developing with dynlib.
Obtain the example scripts
Example scripts as well as the actual forecast scripts currently used are available in a tar archive:
/Data/gfi/users/csp001/forecast_plotting.tar.bz2
. In that archive there are three folders called examples
, production
and website
.
examples
contains a thoroughly documented plot script and the necessary settings file that sets up the right paths and file name structure used for the forecasts.production
contains the currently used plot script, and the settings file contains also the colormaps developed by Franziska Menzel.website
contains the script and the template file used to create web pages fitting to the plots.