rojak-cat 1.0.0

rojak a package with a blend of features -- from turbulence diagnostics to aeroelasticity

rojak: A Library and CLI Tool for Aviation Turbulence Analysis

rojak is a distributed python library and command-line tool for using meterological data to forecast CAT and evaluating the effectiveness of CAT diagnostics against turbulence observations. Currently, it supports,

1. Computing turbulence diagnostics on meteorological data from European Centre for Medium-Range Weather Forecasts's (ECMWF) ERA5 reanalysis on pressure levels. Moreover, it is easily extendable to support other types of meteorological data.
2. Retrieving and processing turbulence observations from Aircraft Meteorological Data Relay (AMDAR) data archived at National Oceanic and Atmospheric Administration (NOAA) and AMDAR data collected via the Met Office MetDB system.
3. Computing 27 different turbulence diagnostics, such as the three-dimensional frontogenesis equation, turbulence index 1 and 2, negative vorticity advection, and Brown's Richardson tendency equation.
4. Converting turbulence diagnostic values into the eddy dissipation rate (EDR) --- the International Civil Aviation Organization's (ICAO) official metric for reporting turbulence.

[!NOTE] This repository is under active development. As a result,

1. The API is subject to change and may not be stable
2. The documentation is incomplete and will be updated as development progresses.

We appreciate your understanding and encourage you to check back for updates.

Rojak is also a salad with Javanese origins. Colloquially (in Singlish), it means a mixture of things. This package is for a traditionally unconventional mixture of aviation meteorology (turbulence diagnostics) and (coming soon) aeroelasticity.

What could I use rojak for?

If you're an aviation meteorologist, rojak can be used to computing the various turbulence diagnostics and converting it into EDR like this map from the Aviation Weather Center.

Or if you're a researcher and you'd like to understand how turbulence is impacted by climate change, rojak can be used to compute the probability of encountering turbulence and examining how that has changed over time.

Documentation

Learn more about rojak at imperialcollegelondon.github.io/rojak/.

Installation

For installation instructions, please see the Installation Guide.