Skip to main content

GitHub license Build Status PyPI version Coverage Status PyPI pyversions Documentation Status

A python implementation of the ITU-R P. Recommendations to compute atmospheric attenuation in slant and horizontal paths.

The propagation loss on an Earth-space path and a horizontal-path, relative to the free-space loss, is the sum of different contributions, namely: attenuation by atmospheric gases; attenuation by rain, other precipitation and clouds; scintillation and multipath effects; attenuation by sand and dust storms. Each of these contributions has its own characteristics as a function of frequency, geographic location and elevation angle. ITU-Rpy allows for fast, vectorial computation of the different contributions to the atmospheric attenuation.

Documentation

The documentation can be found at ITU-Rpy documentation in Read the docs.

Examples of use cases can be found in the examples folder.

Installation

ITU-Rpy has the followind dependencies: numpy, scipy, pyproj, and astropy. Installation of cartopy and matplotlib is recommended to display results in a map.

Using pip, you can install all of them by running:

pip install itur

More information about the installation process can be found on the documentation.

ITU-R Recommendations implemented

The following ITU-R Recommendations are implemented in ITU-Rpy
  • ITU-R P.453-13: The radio refractive index: its formula and refractivity data

  • ITU-R P.530-17: Propagation data and prediction methods required for the design of terrestrial line-of-sight systems

  • ITU-R P.618-13: Propagation data and prediction methods required for the design of Earth-space telecommunication systems

  • ITU-R P.676-12: Attenuation by atmospheric gases

  • ITU-R P.835-6: Reference Standard Atmospheres

  • ITU-R P.836-6: Water vapour: surface density and total columnar content

  • ITU-R P.837-7: Characteristics of precipitation for propagation modelling

  • ITU-R P.838-3: Specific attenuation model for rain for use in prediction methods

  • ITU-R P.839-4: Rain height model for prediction methods.

  • ITU-R P.840-8: Attenuation due to clouds and fog

  • ITU-R P.1144-10: Interpolation methods for the geophysical properties used to compute propagation effects

  • ITU-R P.1510-1: Mean surface temperature

  • ITU-R P.1511-2: Topography for Earth-to-space propagation modelling

  • ITU-R P.1623-1: Prediction method of fade dynamics on Earth-space paths

  • ITU-R P.1853-1: Tropospheric attenuation time series synthesis

The individual models can be accessed using the itur.models package.

Usage

The following code example shows the usage of ITU-Rpy. More examples can be found in the examples folder.

import itur

f = 22.5 * itur.u.GHz    # Link frequency
D = 1 * itur.u.m         # Size of the receiver antenna
el = 60                  # Elevation angle constant of 60 degrees
p = 3                    # Percentage of time that attenuation values are exceeded.

# Generate a regular grid latitude and longitude points with 1 degrees resolution
lat, lon = itur.utils.regular_lat_lon_grid()

# Comute the atmospheric attenuation
Att = itur.atmospheric_attenuation_slant_path(lat, lon, f, el, p, D)
itur.plotting.plot_in_map(Att.value, lat, lon,
                          cbar_text='Atmospheric attenuation [dB]')

which produces: Attenuation worldmap

Validation

ITU-Rpy has been validated using the ITU Validation examples (rev 5.1) , which provides test cases for parts of Recommendations ITU-R P.453-14, P.618-13, P.676-12, P.836-6, P.837-7, P.838-3, P.839-4, P.840-8, P.1511-2, P.1623-1.

The results of this validation exercise are available at the validation page in the documentation.

Citation

If you use ITU-Rpy in one of your research projects, please cite it as:

@misc{iturpy-2017,
      title={ITU-Rpy: A python implementation of the ITU-R P. Recommendations to compute atmospheric
         attenuation in slant and horizontal paths.},
      author={Inigo del Portillo},
      year={2017},
      publisher={GitHub},
      howpublished={\url{https://github.com/inigodelportillo/ITU-Rpy/}}
}

Release files for itur 0.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for itur 0.4.0
File Size Uploaded
itur-0.4.0.tar.gz 163.4 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for itur 0.4.0
File Interpreter ABI Platform
itur-0.4.0-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 326.7 MB

Release files / itur-0.4.0.tar.gz

Download URL itur-0.4.0.tar.gz
Size 163.4 MB
Tags Source
SHA-256 checksum
How to use checksums
b833021dc11321f28a03560ec4ee27cdff60234bf4ec25642f013e33d254411e
BLAKE2b-256 checksum
How to use checksums
9c57d0eaedc1829a410b2c17e12259c423993186de0af233da5f83a2ea0674a1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release files / itur-0.4.0-py2.py3-none-any.whl

Download URL itur-0.4.0-py2.py3-none-any.whl
Size 163.4 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
d7a357172216075b9f0b8f38cd68ce975dba1b7e22db8329f013e6ef651db9b2
BLAKE2b-256 checksum
How to use checksums
617be682678c0a6fcdd4529abc5f22324149cd7a725138465d76885a3a53c88f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release history Release notifications | RSS feed

This release

0.4.0 This release

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.1

2 release files

0.1.6

2 release files

0.1.5

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page