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