Skip to main content

Summary statistics and plots for ensemble Permafrost Simulations

Project description

SuPerSim

SuPerSim (Summary for Permafrost Simulations) is a package that allows for quick and easy visualization of permafrost metrics and time series from ensemble simulations. The user can extract information from ensemble simulations, create statistics, and plot a variety of spatially and temporally summarized data.

This tool is particularly useful to perform a spatial and temporal analysis of ground, surface, snow, and air metrics on a slope underlain by permafrost where a fast or slow landslide happened. It allows the user to plot time series relative to the time of the event and to visually inspect their behaviour weeks, months, or years before. SuPerSim also creates heatmaps of the ground surface temperature with respect to topographic parameters (slope, aspect, and altitude) to understand the relative importance in the rockfall starting zone.

There is a number of plots than can be produced for a single site. However, SuPerSim is also able to compare two different sites (or two different faces of a same mountain for instance, see the example with a comparison of north- and south-facing rock slopes).

Installation

Use the package manager pip to install SuPerSim (find the PyPi page here: https://pypi.org/project/SuPerSim/).

pip install SuPerSim

Install all the required packages (dependencies) from the requirements.txt file.

pip install -r requirements.txt

Place requirements.txt in the directory where you plan to run the command. If the file is in a different directory, specify its path, for example, path/to/requirements.txt.

Usage

The package is better used in a Python script and is imported with

import SuPerSim

Examples

The user can find some inspiration on how to use SuPerSim by looking at the examples provided.

License

GNU GPLv3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

supersim-1.2.0.tar.gz (97.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

supersim-1.2.0-py3-none-any.whl (93.3 kB view details)

Uploaded Python 3

File details

Details for the file supersim-1.2.0.tar.gz.

File metadata

  • Download URL: supersim-1.2.0.tar.gz
  • Upload date:
  • Size: 97.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for supersim-1.2.0.tar.gz
Algorithm Hash digest
SHA256 56c6f86b2f916a1a77f14062928f3258d46ab15bd42d81050266e4f0b81e211c
MD5 e0490f56ea799c233b0aa9f3102d30ca
BLAKE2b-256 a7d333710b104c3b3e270cb725587b7136589373fabb9b748f0e93842792ebf3

See more details on using hashes here.

File details

Details for the file supersim-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: supersim-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 93.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for supersim-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7a2401edc369d13d17c82b00a8c591acee8bdeb9ffec9f2550f50e9eb6c944db
MD5 441c2c1da00955dff3ff309e50d30ffa
BLAKE2b-256 6b25532c2cec479c0c92e1da7e73267262c2d50ae487ee363044a844371941ec

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page