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-1.2.3a2.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-1.2.3a2-py2.py3-none-any.whl (60.6 MB view details)

Uploaded Python 2Python 3

File details

Details for the file pytcr-1.2.3a2.tar.gz.

File metadata

  • Download URL: pytcr-1.2.3a2.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-1.2.3a2.tar.gz
Algorithm Hash digest
SHA256 738b7337a7d65bdf7cef4368da6ed9e6fb7a150b6a68bbd0bb50a20e01aa39c2
MD5 a9f70215cdb82531da0bb910d11f6983
BLAKE2b-256 c29eb5ff8e2e77c7fdc8072d4cff94d9122049912a51d774c0539e9d54b24fab

See more details on using hashes here.

File details

Details for the file pytcr-1.2.3a2-py2.py3-none-any.whl.

File metadata

  • Download URL: pytcr-1.2.3a2-py2.py3-none-any.whl
  • Upload date:
  • Size: 60.6 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.0

File hashes

Hashes for pytcr-1.2.3a2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7a6ec73661704fb1068942f1540509d368b6a69ab34520fe87ec0187bf6af6db
MD5 156815ed7a6f594202d86c66cee566e6
BLAKE2b-256 ad0b39321e4876511a45a4e05177924eb21d6d5877d386ca530a633b799b1441

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