Contributors: Florian Pinault
Name: Florian Pinault
Login: floriankrb
Email: Florian.Pinault@ecmwf.int
Description: Machine Learning for Climate and Meteorology.
Location: floriankrb
Company: @ecmwf
Repositories count: 20
Last synced at: 2024-06-11T15:57:38.757Z
Total stars: 0
Followers: 56
Following: 1
OST Projects: 4
Languages: Python, Jupyter Notebook
Categories: Atmosphere, Climate Change, Sustainable Development
Sub Categories: Atmospheric Composition and Dynamics, Climate Data Access and Visualization, Education
Topics: grib, hindcast, s2s, s2s-ai-challenge, zarr, anemoi
Contributed Projects
ecmwf-opendata
A package to simplify the download of ECMWF open data.
Climate Change - Climate Data Access and Visualization - Last synced: 29 May 2026 - Ranking: 19.7
climetlab
A Python package aiming at simplifying access to climate and meteorological datasets, allowing users to focus on science instead of technical issues such as data access and data formats.
Climate Change - Climate Data Access and Visualization - Last synced: 29 May 2026 - Ranking: 16.5
MOOC Machine Learning in Weather & Climate
Explore the application of Machine Learning across the main stages of numerical weather and climate prediction.
Sustainable Development - Education - Last synced: 29 May 2026 - Ranking: 8.1
ANEMOI
An open-source, Python-based framework developed collaboratively by ECMWF and several European national meteorological services. It is designed to facilitate the development, training, and deployment of machine learning (ML) models for weather forecasting. As an 'end to end' framework, it provides a comprehensive toolkit that spans data preparation, model training, and inference, enabling meteorological organizations to leverage their own data for ML-based weather prediction.
Atmosphere - Atmospheric Composition and Dynamics - Last synced: 29 May 2026 - Ranking: 7.3