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Structured Local Area Model

Project description

geovista-slam

GeoVista utility to convert CF UGRID Local Area Model quad-cell meshes into structured rectilinear or curvilinear grids.

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📦 Package conda-forge pypi pypi - python version DOI
🧰 Repo contributors

Installation

geovista-slam is available on conda-forge and PyPI.

We recommend using mamba to install geovista-slam 👍

conda

geovista-slam is available on conda-forge, and can be easily installed with conda:

conda install -c conda-forge geovista-slam

or alternatively with mamba:

mamba install -c conda-forge geovista-slam

For more information see our conda-forge feedstock.

pip

geovista-slam is also available on PyPI:

pip install geovista-slam

However, complications may arise due to the cartopy package dependencies.

License

geovista-slam is distributed under the terms of the BSD-3-Clause license.

#ShowYourStripes

#showyourstripes Global 1850-2021

Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.

Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.

#ShowYourStripes is distributed under a Creative Commons Attribution 4.0 International License creative-commons-by

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geovista-slam-0.1.3.tar.gz (16.8 kB view hashes)

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geovista_slam-0.1.3-py3-none-any.whl (9.6 kB view hashes)

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