How to Install and Uninstall libatlas-ecmwf-utils Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 10,2024

1. Install "libatlas-ecmwf-utils" package

Please follow the guidelines below to install libatlas-ecmwf-utils on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libatlas-ecmwf-utils

2. Uninstall "libatlas-ecmwf-utils" package

Please follow the instructions below to uninstall libatlas-ecmwf-utils on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libatlas-ecmwf-utils $ sudo apt autoclean && sudo apt autoremove

3. Information about the libatlas-ecmwf-utils package on Ubuntu 20.10 (Groovy Gorilla)

Package: libatlas-ecmwf-utils
Architecture: amd64
Version: 0.21.0-1
Multi-Arch: foreign
Priority: optional
Section: universe/science
Source: atlas-ecmwf
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Alastair McKinstry
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 337
Depends: libatlas-ecmwf-0 (= 0.21.0-1), libc6 (>= 2.14), libeckit0d (>= 1.11.6), libgcc-s1 (>= 3.0), libjemalloc2 (>= 5.0.0), libstdc++6 (>= 5.2)
Filename: pool/universe/a/atlas-ecmwf/libatlas-ecmwf-utils_0.21.0-1_amd64.deb
Size: 68916
MD5sum: dd19f3ba4d407076ed0a956cd34bcf20
SHA1: bcb16138d98dd0de478bcdefb4dbb7f9520cbae8
SHA256: da02765e6689f26445935fe3dd1b1dd651448474e5cbde4298168a4f9b7ba7a3
SHA512: e6ac6e9dd25cfdea041df7e61b269bc552e21c29be06cd751fd7d2a415e18c2de8a0979c682b38f12542f1accfe93de3880862553971d637add988417628d28b
Homepage: https://github.com/ecmwf/atlas
Description-en: Numerical weather prediction and climate modelling library - utilities
Atlas is an ECMWF library for parallel data-structures supporting
unstructured grids and function spaces, with the aim to investigate
alternative more scalable dynamical core options for Earth System models,
and to support modern interpolation and product generation software.
.
Atlas is predominantly C++ code, with main features available to Fortran codes
through a F2003 interface.
ECMWF is the European Centre for Medium-Range Weather Forecasts.
Description-md5: 7592645ca7738031dcb490b4deb520bc