Skip to main content

Multifeature tracking and analysis of meteorological events

Project description

GridRad Demo

Package description

Welcome to the Thunderstorm Event Reconnaissance (THUNER) package! THUNER is a flexible toolkit for multi-feature detection, tracking, tagging and analysis of events in meteorological datasets; documentation is available online. THUNER’s intended application is the tracking and analysis convective weather events. If you use THUNER in your work, consider citing

Note many excellent alternatives to THUNER exist, including PyFLEXTRKR, GTG, TAMS, tobac and MOAAP. When designing a tracking based research project involving THUNER, consider performing sensitivity tests using these alternatives.

Installation

The THUNER repository can be cloned from GitHub in the usual ways. Cloning the repository is the easiest way to access the demo, workflow and gallery folders. After cloning, a new conda environment using environment.yml, then run pip install . from the THUNER root directory.

Alternatively, THUNER can be installed using conda, ideally into a new environment:

conda install -c conda-forge thuner

While conda installation is preferred, pip may also be used. First install the esmpy package manually as detailed here. THUNER can then be installed using

pip install thuner

Note that THUNER depends on xesmf for regridding, and is therefore currently only available on Linux and OSX systems.

Examples

GridRad

The examples below illustrate the tracking of convective systems in GridRad Severe radar data. Object merge events are visualized through the “mixing” of the colours associated with each merging object. Objects that split off from existing objects retain the colour of their parent object. Objects which intersect the domain boundary have their stratiform-offsets and velocities masked, as these cannot be measured accurately when the object is partially outside the domain.

The example below depicts multiple trailing-stratiform type systems.

GridRad Demo

The example below depicts multiple leading-stratiform type systems.

GridRad Demo

Etymology

According to Wikipedia, between the 8th and 16th centuries the storm god more commonly known as Thor was called “Thuner” by the inhabitants of what is now west Germany.

Acknowledgements

THUNER’s documentation is hosted on Read the Docs. THUNER was developed by Ewan Short while supported by Australian Research Council grants CE170100023. and DP200102516. Computational resources during development were provided by the Australian National Computational Infrastructure (NCI).

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

thuner-0.0.13.tar.gz (4.9 MB view details)

Uploaded Source

Built Distribution

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

thuner-0.0.13-py3-none-any.whl (144.9 kB view details)

Uploaded Python 3

File details

Details for the file thuner-0.0.13.tar.gz.

File metadata

  • Download URL: thuner-0.0.13.tar.gz
  • Upload date:
  • Size: 4.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for thuner-0.0.13.tar.gz
Algorithm Hash digest
SHA256 115b65a7bc4acd732cb9db4db16b6415b7332c9cd0208743dd4c087528843b8b
MD5 943b6005d3b2a9ab0b692c0c2eb2da43
BLAKE2b-256 136c25151a076062c8e50df1697614ae838e7b29121c28deff08b0e16fc63b93

See more details on using hashes here.

File details

Details for the file thuner-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: thuner-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 144.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for thuner-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 9245c6bc370d739152f5e8e6b14c11289faf5d70989005f148a6af570022d5ca
MD5 1d908626326ba63f2aab55b6c284de31
BLAKE2b-256 a8b0dcb51e6914b4cf51fc102e8ec39b6a47af76be8894d63ee0de53517b9c68

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