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Can I fly?
Can I do XC?
What is it?
Please note that this website is in alpha version, it is improving every day.


Paraglidable.com is a weather forecast website for paragliders.

It uses state-of-the-art artificial intelligence algorithms to interpret weather forecasts from multiple sources as comprehensible flying condition parameters. Basically, with paraglidable.com, you do not need any more to take time for studying the precipitations, cloud cover, wind at different altitudes etc. to know if you will be able to fly or not. Paraglidable.com studies for you ~200 weather parameters for each day and produces a clear summary. Futhermore, paraglidable.com is able to predict how good the day will be for cross country flying.

To learn more about how it actually works, please follow this link.

Legend

Can I Fly?

Probability that a flight will be reported, given the full weather vector of the day, assuming a given paragliders local population.

Can I do XC?

Probability that a flight of 60 points or more (using PWC scoring) will be reported, given the full weather vector of the day, assuming a given paragliders local population.

Wind

1 - 2 * (probability that a flight will be reported, given the wind-related weather parameters, assuming a given paragliders local population)

Precipitations

1 - 2 * (probability that a flight will be reported, given the precipitations-related weather parameters, assuming a given paragliders local population)

Morning

1 - 2 * (probability that a flight will be reported, given the morning weather parameters, assuming a given paragliders local population)
Displayed only if (Can I Fly?) > 0.5

Evening

1 - 2 * (probability that a flight will be reported, given the evening weather parameters, assuming a given paragliders local population)
Displayed only if (Can I Fly?) > 0.5

What is the API?

The paraglidable API let you integrate freely our forecasts into any website/service/application.
You can get a key by providing an email address.
You are limited to 10 spots by key.

JSON format

URL to use

Result example


XML format

URL to use

Result example

Side results

coming soon

Statistics

coming soon

How does it work?

Paraglidable.com uses deep learning to analyse standard weather models forecasts.

Offline training

Paraglidable.com uses an artifical neural network to compute "flyability" and "crossability" scores by analysing ~200 weather parameters for each day.
The neural network is trained over ground truth data spanning the last 10 years.
The ground truth data is composed of weather archives and available online flights databases (~2 000 000 flights).
During training, the neural network learns the correlation between weather conditions and reported flights (their number, distance, max vario, max altitude...).
Correlation results can be visualised here.

Online prediction

For computing forecast, paraglidable.com downloads the last weather forecasts from multiple sources to feed the neural network. The neural network outputs a prediction of the flying condition.

Data sources

NOAA, ECMWF, 2534806253
superemphasize, 3204682326, (916) 715-7290, CFD, XC League

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Contact

Social networks

Direct message

Your name
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E-mail

antoineparaglidable.com
Credits

Data sources

Weather

Flights

Map tiles

Geography

Flying spots

Images

Libraries

C++

Python

Javascript