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AWIPS (Advanced Weather Interactive Processing System) is a meteorological display and analysis package originally developed by the National Weather Service and Raytheon, modified and repackaged by Unidata to support non-operational use in research and education by UCAR member institutions.
AWIPS takes a unified approach to data ingest, and most data types follow a path through the system starting with an LDM client requesting data from the Unidata IDD. These data files are then decoded and stored as HDF5 and Postgres metadata by EDEX.
Unidata supports two visualization frameworks for rendering AWIPS data: CAVE (a desktop Java application), and the Python Data Access Framework (python-awips).
awips-cave.dmg awips-python.pkg | install both | |
Windows | awips-cave.msi |
CentOS/RH 6 or 7 (x86_64) | awips_install.sh --edex | Run from the command line chmod 755 awips_install.sh |
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Full EDEX Installation Instructions... This two-day workshop will familiarize users with the CAVE (client) and EDEX (server) components of AWIPS, tracing data ingest from beginning (raw files) to end (data visualization), giving users full control of a virtual AWIPS system to learn not only how to use the AWIPS tools, but understand how data comes into the system and is processed, and how to investigate and solve messaged to Qpid, which alerts the EDEX Ingest server that a file is ready for processing.
Qpid
Apache Qpid, the Queue Processor Interface Daemon, is the messaging system used by AWIPS to facilitate communication between services. When the LDM receives a data file to be processed, it employs edexBridge to send EDEX ingest servers a message via Qpid. When EDEX has finished decoding the file, it sends CAVE a message via Qpid that data are available for display or further processing. Qpid is started and stopped by
edex start
and edex stop
, and is controlled by the system script /etc/rc.d/init.d/qpidd
PostgreSQL
![Mac Mac](/uploads/1/2/6/7/126766458/797328169.jpg)
PostgreSQL, known simply as Postgres, is a relational database management system (DBMS) which handles the storage and retrieval of metadata, database tables and some decoded data. The storage and reading of EDEX metadata is handled by the Postgres DBMS. Users may query the metadata tables by using the termainal-based front-end for Postgres called psql. Postgres is started and stopped by
edex start
and edex stop
, and is controlled by the system script /etc/rc.d/init.d/edex_postgres
HDF5
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Hierarchical Data Format (v.5) is the primary data storage format used by AWIPS for processed grids, satellite and radar imagery and other products. Similar to netCDF, developed and supported by Unidata, HDF5 supports multiple types of data within a single file. For example, a single HDF5 file of radar data may contain multiple volume scans of base reflectivity and base velocity as well as derived products such as composite reflectivity. The file may also contain data from multiple radars. HDF5 is stored in
/awips2/edex/data/hdf5/
PyPIES (httpd-pypies)
PyPIES, Python Process Isolated Enhanced Storage, was created for AWIPS to isolate the management of HDF5 Processed Data Storage from the EDEX processes. PyPIES manages access, i.e., reads and writes, of data in the HDF5 files. In a sense, PyPIES provides functionality similar to a DBMS (i.e PostgreSQL for metadata); all data being written to an HDF5 file is sent to PyPIES, and requests for data stored in HDF5 are processed by PyPIES.
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PyPIES is implemented in two parts: 1. The PyPIES manager is a Python application that runs as part of an Apache HTTP server, and handles requests to store and retrieve data. 2. The PyPIES logger is a Python process that coordinates logging. PyPIES is started and stopped by
edex start
and edex stop
, and is controlled by the system script /etc/rc.d/init.d/httpd-pypies