title | subtitle | layout | hero_height | hero_image | hero_caption | hero_darken | toc | show_sidebar |
---|---|---|---|---|---|---|---|---|
Frequently asked questions |
FAQs and PISM life hacks |
page |
is-medium |
Photo: <a href='https://imaggeo.egu.eu/view/3171/'>J.-M. Nasse / imaggeo </a> |
false |
true |
true |
For a quick view into PISM's NetCDF output files, Ncview is a useful tool.
Some recommendations for Python packages that allow easy plotting of NetCDF datasets are listed below:
- xarray is simple and efficient, see the examples below:
- pypismtools is a collection of Python classes and functions to evaluate studies made with PISM
- Cartopy and GeoPandas (or the earlier but deprecated Basemap) are useful Python packages (based on matplotlib), especially for plotting data on maps
- PyGMT is a Python interface for the Generic Mapping Tools (GMT)
- Hyoga is a thin wrapper around xarray to read and plot PISM output, written by Julien Seguinot
For a list of more useful Python plotting tools, see here.
See repos and resources for more information.
Panoply is a cross-platform NetCDF data viewer actively developed by NASA and more comprehensive than Ncview (requires Java).
Here's a link collection to some nice color maps:
- Scientific colour maps by Fabio Crameri: perceptually uniform, readable both by colour-vision deficient and colour-blind people, citable & reproducible
- cmocean: Perceptually uniform beautiful color maps for oceanography
- ColorBrewer: Color advice for cartography
For even more scale color tables, J.J. Green's cpt-city website includes countless color palettes in various file formats.
Scripts that help build PISM and its prerequisites (such as PETSc) on some HPC system are provided here.
This page lists resources that can help you prepare input data for Antarctic, Greenland and Arctic PISM applications.
Furthermore, command line tools
are useful for manipulating data in the NetCDF format.
See Regridding with CDO for a good overview of regridding (interpolation between different grids) using CDO.
Please see the Issue tracking at github to check if someone already found a similar bug. You can post an issue there, and label it as a bug, if it is new. For more information, see here.
See the information given here.
This page gives more information on this.
For an example for Antarctica, see the pism-ensemble.