A python implementation of the ITU-R P. Recommendations

## Project description

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`,
`joblib`, `pyproj`, and `astropy`. Installation of `basemap` 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.618-13:** Propagation data and prediction
methods required for the design of Earth-space telecommunication systems
* **ITU-R P.676-11:** 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.840-7:** Attenuation due to clouds and fog * **ITU-R
P.1144-7:** Interpolation methods for the geophysical properties used to
compute propagation effects * **ITU-R P.1511-1:** Topography for
Earth-to-space propagation modelling * **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.utils.plot_in_map(Att.value, lat, lon, cbar_text='Atmospheric attenuation [dB]')

which produces:

## 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/iportillo/ITU-Rpy/}} }

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