Computing hardware

• A new shared-resource research cluster is now online, since December 2014
• Stay tuned

Software

• The lab uses mainly open source software for handling large data sets and for data visualization and analysis.
• Our current favorites (with Github sharing) are:
  • R (& Shiny R)
  • QGIS
  • GMT
  • ncview, ncl, nco, cdo, panoply
  • Python, C, C++, Fortran
  • & any shell scripting language
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