dballe 7.6-1 source package in Ubuntu

Changelog

dballe (7.6-1) unstable; urgency=medium

  * New upstream release
     - big refactoring, extracting the beginning of a stable API/ABI
     - ported to wreport 3
     - removed internal provami, now a separate package:
       https://github.com/ARPA-SIMC/provami

 -- Enrico Zini <email address hidden>  Mon, 23 Nov 2015 12:07:50 +0100

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Uploaded by:
Enrico Zini
Uploaded to:
Sid
Original maintainer:
Enrico Zini
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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dballe_7.6-1.dsc 2.5 KiB 56989cdc527f99c4170d2c37fb9efb3c766db9564c84f817ee3e601a4e974be4
dballe_7.6.orig.tar.gz 1.4 MiB 27661b426e8f0cfbc2671bd33b0f3390ad94618acbc03842e3334bdc65a56ff3
dballe_7.6-1.debian.tar.xz 10.4 KiB dbbc8b61117c86f6e34e404b526517d8273417f4d4e40f6a1bc1097c37e43c43

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Binary packages built by this source

dballe: Database for punctual 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, AOF 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.

dballe-common: Common data files for all DB-All.e modules

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 This package contains common DB-All.e data files, including variable metadata,
 BUFR and CREX decoding tables, report metadata, level and time range
 descriptions.

dballe-dbgsym: debug symbols for package dballe

 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, AOF 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.

libdballe-dev: DB-All.e C development library for weather research

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 The Debian packaging of DB-All.e includes all the features of the libraries,
 but any subset can be used without interference from other subsets. It is
 also possible to rebuild the library to include only those features that are
 needed.
 .
 Features provided:
 .
  * Unit conversion
  * Handling of physical variables
  * Encoding and decoding of BUFR and CREX reports from:
     * fixed land and sea stations, like synops and buoys
     * mobile stations: ships, airplanes
     * soundings: temp, pilot
     * METAR reports
     * Satellite strides (decode only)
  * Decoding of AOF reports
  * Interpretation of weather reports as physical data precisely located in
    space and time, and encoding of physical data into weather reports.
  * Smart on-disk database for observed and forecast weather data based on
    physical principles, built to support operations such as quality control,
    data thinning, correlation of data from mixed sources

libdballe-doc: documentation for the DB-ALL.e C library for weather research

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 This is the documentation for the DB_All.e development the library.

libdballe7: DB-ALL.e C shared library for weather research

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 This is the shared library for C programs.

libdballe7-dbgsym: debug symbols for package libdballe7

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 This is the shared library for C programs.

libdballef-dev: DB-All.e Fortran development library for weather research

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 This is the DB-All.e Fortran API, designed to make it easy to use the DB-All.e
 database as a smart working area for meteorological software.

libdballef4: DB-ALL.e Fortran shared library for weather research

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 This is the shared library for Fortran programs.

libdballef4-dbgsym: debug symbols for package libdballef4

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 This is the shared library for Fortran programs.

python-dballe: DB-ALL.e Python library for weather research

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 These are the Python bindings.

python3-dballe: DB-ALL.e Python library for weather research

 DB-All.e is a fast on-disk database where meteorological observed and
 forecast data can be stored, searched, retrieved and updated.
 .
 These are the Python bindings.