MPI Documentation Platform https://wiki.mpimet.mpg.de/ 2026-04-29T15:55:49+00:00 https://wiki.mpimet.mpg.de/ https://wiki.mpimet.mpg.de/lib/exe/fetch.php?media=logo.png text/html 2022-04-25T07:18:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.mpimet.mpg.de/doku.php?id=analysis:pot_pourri:python:intake&rev=1650871110&do=diff intake: take the pain out of data access on mistral * Do you use python and xarray in your daily work on mistral? * Do you work with common datasets like CMIP5, CMIP6, MiKlip or ICDC observations? * Do you want to access data on mistral and feel the pain searching for the exact locations? text/html 2020-10-20T14:54:28+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.mpimet.mpg.de/doku.php?id=analysis:pot_pourri:python:jupyter&rev=1603205668&do=diff Jupyter Notebooks on Mistral An easy way - useful if your data is not too large 1. login to mistral using the following command (replacing XXXXXX by your UserID): ssh -X -L 8888:localhost:8888 mXXXXXX@mistral.dkrz.de 2. load anaconda using the following two commands: text/html 2020-09-22T15:43:12+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.mpimet.mpg.de/doku.php?id=analysis:pot_pourri:python:objects&rev=1600789392&do=diff Image segmentation In the following, an example is given how to identify two dimensional objects like clouds or cold pools in numerical model output or satellite images. For this purpose, the python tools used by Senf et al. (2018) are used. Fabian Senf from TROPOS in Leipzig developed a python tool package for image segmentation which is easy to use. text/html 2024-05-05T19:28:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.mpimet.mpg.de/doku.php?id=analysis:pot_pourri:python:psy&rev=1714937293&do=diff Plotting with psyplot and psy-view Psyplot has (<https://psyplot.github.io/>) an ncview-ish interface for plotting data on arbitrary grids. It also provides a whole set of extensions for use with the standard python plotting functions. To start it, run module load python3/2021.01-gcc-9.1.0 text/html 2020-09-22T15:43:12+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.mpimet.mpg.de/doku.php?id=analysis:pot_pourri:python:start&rev=1600789392&do=diff Python This is the starting point for documentation related to analyzing model output or observations using python. Here we anticipate contributions for how to use python on mistral, how to install new packages, how to use jupyter, etc. Search only in this Namespaces below. For a global search use the field in the upper right corner. More tips: . index