How to Install and Uninstall dballe Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 16,2024

1. Install "dballe" package

Please follow the instructions below to install dballe on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install dballe

2. Uninstall "dballe" package

This tutorial shows how to uninstall dballe on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove dballe $ sudo apt autoclean && sudo apt autoremove

3. Information about the dballe package on Ubuntu 20.10 (Groovy Gorilla)

Package: dballe
Architecture: amd64
Version: 8.6-1ubuntu1
Priority: optional
Section: universe/misc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Enrico Zini
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 201
Depends: dballe-common, libc6 (>= 2.14), libdballe8 (>= 8.0), libgcc-s1 (>= 3.0), libpopt0 (>= 1.14), libstdc++6 (>= 5.2), libwreport3 (>= 3.0)
Recommends: python3-dballe
Filename: pool/universe/d/dballe/dballe_8.6-1ubuntu1_amd64.deb
Size: 46892
MD5sum: 278e1775bb46d221f9713a473a28a795
SHA1: 7d1bbb490dbe7484526338897b13a19f44a5bbc9
SHA256: c11beb07f76cd371debfa3909a8eab52989276241bcf0203b5976263771888d1
SHA512: 6611991e6912c4dfbaa713ff760dbb36f8653965f88b9428312d82491be79560cd9f14847762e76af7d65b04f6c2e731b0fa7e30f4b024909f277eba0ccae3fe
Homepage: https://github.com/ARPA-SIMC/dballe
Description-en: Database for point-based meteorological data (Command line tools)
DB-All.e is a fast on-disk database where meteorological observed and
forecast data can be stored, searched, retrieved and updated.
.
This framework allows one to manage large amounts of data using its simple
Application Program Interface, and provides tools to visualise, import
and export in the standard formats BUFR, and CREX.
.
The main characteristics of DB-ALL.e are:
.
* Fortran, C, C++ and Python APIs are provided.
* To make computation easier, data is stored as physical quantities,
that is, as measures of a variable in a specific point of space and
time, rather than as a sequence of report.
* Internal representation is similar to BUFR and CREX WMO standard
(table code driven) and utility for import and export are included
(generic and ECMWF template).
* Representation is in 7 dimensions: latitude and longitude geographic
coordinates, table driven vertical coordinate, reference time,
table driven observation and forecast specification, table driven
data type.
* It allows one to store extra information linked to the data, such as
confidence intervals for quality control.
* It allows one to store extra information linked to the stations.
* Variables can be represented as real, integer and characters, with
appropriate precision for the type of measured value.
* It is based on physical principles, that is, the data it contains are
defined in terms of homogeneous and consistent physical data. For
example, it is impossible for two incompatible values to exist in the
same point in space and time.
* It can manage fixed stations and moving stations such as airplanes or
ships.
* It can manage both observational and forecast data.
* It can manage data along all three dimensions in space, such as data
from soundings and airplanes.
* Report information is preserved. It can work based on physical
parameters or on report types.
Description-md5: 7472d808fe369585b329358d8a66263c