Skip to main content

Python-based 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-1.2.1.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-1.2.1-py2.py3-none-any.whl (60.6 MB view details)

Uploaded Python 2Python 3

File details

Details for the file pytcr-1.2.1.tar.gz.

File metadata

  • Download URL: pytcr-1.2.1.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-1.2.1.tar.gz
Algorithm Hash digest
SHA256 0e9530344b7e2d6b59c4e6583c72d06f73d90bbb72e906124302a97f153189bf
MD5 09c65356bca1361d35807a823549e9e0
BLAKE2b-256 e30963b5112dd58dfc001d8ea25d4f0ee6ac132594a06d072e28dcda98744d04

See more details on using hashes here.

File details

Details for the file pytcr-1.2.1-py2.py3-none-any.whl.

File metadata

  • Download URL: pytcr-1.2.1-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-1.2.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 24ec09effd1f80b447742504969b2c32adb0a703597760f35d543c65d81160aa
MD5 76910423886917a0d301b96224773e5b
BLAKE2b-256 f537b0ffd3686514b567f7ad88e85f413d68a9445ee9331ed0b3580cdaf09ddf

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