Skip to main content

Contour Tracking of circulation anomalies in Weather and Climate Data.

Project description

Tracking of circulation anomalies in weather and climate data

Based on the atmospheric blocking index by Schwierz et al. (2004).

See also:

  • Croci-Maspoli et al. (2007)

  • Pfahl et al. (2015)

  • Steinfeld and Pfahl (2019)

The PV-Anomaly blocking climatology used in Steinfeld and Pfahl (2019) is publicly available via an ETH Zurich-based web server [http://eraiclim.ethz.ch/ , see Sprenger et al. (2017)].

What’s New

v0.1.0 (20.04.2020):

  • Extend functionality: Calculating anomalies from daily (long-term) climatology.

Install the development environment

Copy locally the latest version from lagranto:

git clone git@github.com:steidani/ConTrack.git /path/to/local/contrack
cd path/to/local/contrack

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

ConTrack-0.1.0.tar.gz (7.8 kB view hashes)

Uploaded Source

Built Distribution

ConTrack-0.1.0-py3-none-any.whl (9.2 kB view hashes)

Uploaded Python 3

Supported by

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