Lab software/tools

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
    • DSC_5805