Skip to main content

A model for tropical cyclone rainfall

Project description

PyTCR: A tropical cyclone rainfall model for python

pyTCR is a physics-based model developed in python to estimate rainfall induced by tropical cyclones (TCs). It is largely based on the TCR model described by Zhu et al., 2013 and Lu et al., 2018. PyTCR simulates convective TC rainfall by correlating the precipitation rate with the total upward velocity within the TC vortex. It integrates seamlessly with outputs from a tropical cyclone downscaling model (see Lin et al., 2023) to generate detailed spatial-temporal rainfall patterns that align with hurricane tracks.

Installation

pyTCR can be installed from PyPI using:

pip install pyTCR

Sources

The source code is available on GitHub under the MIT Licence.

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

pytcr-1.2.3.tar.gz (72.2 MB view details)

Uploaded Source

Built Distribution

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

pytcr-1.2.3-py3-none-any.whl (60.6 MB view details)

Uploaded Python 3

File details

Details for the file pytcr-1.2.3.tar.gz.

File metadata

  • Download URL: pytcr-1.2.3.tar.gz
  • Upload date:
  • Size: 72.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.0

File hashes

Hashes for pytcr-1.2.3.tar.gz
Algorithm Hash digest
SHA256 183e965eb8d32af563dd59abc69355594e4e94b2335e103824320de048a64b55
MD5 d113f31145ad6a417563132ef75f2b18
BLAKE2b-256 598c253189f451f46d8c36c9227deaf01cfebf552f6d65dc9a5ba4dc023bb90c

See more details on using hashes here.

File details

Details for the file pytcr-1.2.3-py3-none-any.whl.

File metadata

  • Download URL: pytcr-1.2.3-py3-none-any.whl
  • Upload date:
  • Size: 60.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.0

File hashes

Hashes for pytcr-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d09245629fbe704d76cbbc36729692804e6540fc6b2eb8ee557b0f0446602c69
MD5 5e68f6ddd92cad4d8a8cdca2d88a7ade
BLAKE2b-256 cf3c26215de857c7693ce0452c464357e8e324d5633ab9a13bf828e85eb4262a

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