Some recentMachine Learning and Deep Learning Topics at Meteo-France

Bruno Pradel – Lab IA

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Image classification for crowdsourcingfeature in mobile app

Send a picture

IN PRODUCTION!

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Image classification for crowdsourcing feature in mobile app

This is weather: it’s OK! This is not weather: not OK

CNN image classification, inception v3 + transfer learning

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Automatic text weather forecast

Reference situation

Quelques <précipitations <gouttes | flocons > 09> tombent <temps <au lever du jour | après le déjeuner>>. [...]

Bulletin du département du Gard (30) élaboré le 11 septembre 2018 à 06:45:00 TU

Pour demain mercredi 12 en journée,

Quelques gouttes tombent au lever du jour. Des averses à partir de la fin de matinée peuvent nécessiter l’usage du parapluie sous un ciel qui reste très nuageux. L’après-midi, ces averses peuvent localement prendre un caractère orageux, des Causses à l’Aigoual.

Text weather report

K-means for creation of reference situations

IN PRODUCTION!

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Detection of rain areas in weather model output

U-Net image segmentation

Credits: Lucie Rottner, Laure Raynaud, Philippe Arbogast

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Temperature correctionfor amateur weather stations

Ground truth: a Meteo-France weather stationInput features: 5 to 10 Netatmo weather stations nearby

Time series prediction with LSTM-RNN

Deep Learning for Rain and Clouds Nowcasting

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Weather radar animation

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Predict next images

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Model

We have traditional models: optical flow propagation.Can Deep Learning do better?

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Our architecture

+5’+10’

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Con

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pool

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Brute force!

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Results

Input + Forecast

Ground truth

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Issues

● Very, very long training time...● Blurred results

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Convolutions are not good at moving objects

Solution to investigate:translate objects first

t-15min

t+0min

Issue: convolution can’t see moving object on 2 input images

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Areas for improvement

■ For training time

― CNN are not very good at moving objects

=> hybridate an optical flow model and Deep Learning

― Run on a powerful GPU cluster

― Optimize architecture (autoencoder, multiscale, other kind of architectures more prone to moving objects...)

■ For blurring

― Try with a GAN (Generative Adverserial Network)

■ Work in progress for clouds nowcasting

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Meteo-France AI Lab

Until now : master interns

Acceleration of investments on AI

● Feb 2019:Creation of an AI Lab with a target of 6 experts in Data Science

● Oct 2019:Installation of a GPU cluster and fast storage infrastructure (400k€)

Funded by the FTAP (Public Action Transformation Fund)

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Meteo-France Github

● Formation deep-learning (en français !) :● https://github.com/meteofrance/formation-deep-learning

Questions?