NOAA-MDL / GIFTs

Generate IWXXM From TAC software

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Continuous Integration Status

Python package


Generate IWXXM From TAC

This repository hosts software provided by the United States National Weather Service's Meteorological Development Laboratory (MDL) that transforms Annex 3 Traditional Alphanumeric Code (TAC) forms into IWXXM products.

The ICAO Meteorological Information Exchange Model (IWXXM) is a means to report weather information in eXtensible Markup Language (XML). The IWXXM XML schemas, developed and hosted by the WMO in association with ICAO, are used to encode aviation products described in the Meteorological Service for International Air Navigation, Annex 3 to the Convention on International Civil Aviation.

The IWXXM XML schemas describe how METAR, SPECI, TAF, SIGMET, AIRMET, Volcanic Ash Advisory, Tropical Cyclone Advisory, and Space Weather Advisory reports and Significant Weather (SIGWX) are to be encoded in XML.

This repository contains software, written entirely in Python, that transforms the meteorological data in the current TAC form of these reports into IWXXM XML documents. The advantage of the Python language is its popularity, rich functionality, and wide availability under many different computer operating systems.

Introduction

IWXXM became a WMO standard on 5 November 2020. Met Offices shall disseminate METAR, SPECI, TAF, AIRMET, SIGMET products and Tropical Cyclone, Volcanic Ash and Space Weather Advisories in IWXXM form after that date.

As XML--and creating XML documents--may be unfamiliar technology to those without an IT background, MDL is providing software to assist those in creating the new XML documents based on IWXXM schemas.

It should be understood that the software provided here is a short-term solution as TAC forms of these products will eventually cease to be a ICAO/WMO standard.

Prequisites

This software is written entirely in the Python language. Python interpreter v3.9 or better is required.

Installation

The following instructions assume you are using a computer with a Unix-based operating system. Installing this software on other operating systems may require some adjustments. These instructions install software which decodes the traditional alphanumeric code (TAC) forms of METAR, SPECI, TAF, Space Weather, Tropical Cyclone and Volcanic Ash advisories and encodes them into IWXXM equivalents.

To install the GIFTs1 package system-wide, use Python's setuptools package and issue the following commands:

$ cd /path/to/install/directory
$ git clone https://github.com/NOAA-MDL/GIFTs.git
$ cd GIFTs
$ python setup.py install

If you do not have sufficient permissions to modify your Python's site-packages directory, then update your PATH or PYTHONPATH environmental variable to include the directories where the source code resides.

$ setenv PATH ${PATH}:/path/to/install/directory/GIFTs/gifts:/path/to/install/directory/GIFTs/gifts/common # C-shell
% export PATH=${PATH}:/path/to/install/directory/GIFTs/gifts:/path/to/install/directory/GIFTs/gifts/common # Bourne-shell

The python files' import statements will need to be modified too, if you should use this alternative.

Configuration

xmlConfig

While the METAR/SPECI and TAF encoders themselves require minimal setup for use, it is helpful to know how the resulting IWXXM documents can be tweeked. The file xmlConfig.py has comments throughout describing the various XML configuration variables: what they're for, and what values they can take on should you want to make changes. The most likely change you will make is whether to provide the altitude of the aerodromes. The vertical datum must be known and provided in order to correctly describe the aerodromes' elevations.

geoLocations database

The METAR/SPECI and TAF encoders will need an external, user-provided resource that maps the ICAO 4-character identifiers to the aerodromes' location. The database/ subdirectory contains a simple python script to construct a python dictionary to perform the mapping. Please consult the README file in that directory for more details on how to create a simple database that GIFTs can use. Either this technique or setting up a database client using one of Python's database modules is required in order to use the GIFTs encoders. The latter technique is beyond the scope of these instructions.

Using the software

To illustrate the use of the software, the demo subdirectory contains two simple python programs. Please consult the demo/ subdirectory README file for further details.

Bulletins

Every GIFTs encoder, after processing a TAC message successfully, returns an object of the class Bulletin. The Bulletin object has similarities to a python list object: it has a "length" (the number of IWXXM XML reports); can be indexed; can be iterated; and ElementTree reports added and removed with the usual python list operations. In addition to the built-in list operations, python's print() function will nicely format (for human eyes) the bulletin object and write out the complete XML document to a file (default is sys.stdout).

For international distribution, IWXXM reports, due to their increased character length and expanded character set, shall be sent over the Extended ATS Message Handling System (AMHS) as a File Transfer Body Part.2 The Bulletin class provides a convenient write() method to generate the <MeterologicalBulletin>3 XML document for transmission over the AMHS.

Because of the character length of the <MeteorologicalBulletin>, the File Transfer Body Part shall be a compressed file using the gzip protocol. By default, the .encode() method of the Encoder class is to generate an uncompressed file when the bulletin.write() method is invoked. To generate a compressed <MeteorologicalBulletin> file for transmission over the AMHS is to set the compress flag to True in the Bulletin object's write() method, like so:

bulletin.write(compress=True)  

This will generate a gzip file containing the <MeteorologicalBulletin> suitable for transmission over the AMHS.

Caveats

The decoders were written to follow Annex 3 specifications for the TAC forms. If your observations or forecast products deviate significantly from Annex 3, then this software will likely refuse to encode the data into IWXXM. Fortunately, solutions can be readily found, ranging from trivial to challenging (see United States METAR/SPECI reports).

IWXXM Validation

It is important that your IWXXM XML documents 'validate' before dissemination. If they don't, they may be rejected by your consumers. Separate from GIFTs, MDL has provided a convienent python script that invokes NCAR's CRUX utility along with IWXXM schemas, schematron and supporting data files to perform this crucial step before disseminating your IWXXM products. The software can be found in the /validation subdirectory. Please consult the README file for that utility. You can use this utility to validate the IWXXM XML files created by the demo1.py program.


1Yes, we know the project name is presumptuous.
2Guidelines for the Implementation of OPMET Data Exchange using IWXXM, Fourth Edition - November 2020
3Manual on Codes, International Codes, Volume I.3, Annex II to the WMO Technical Regulations, Part D - Representations derived from data models, 2019 edition, ref. FM 201-16

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Generate IWXXM From TAC software

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