Showing 1 - 8 of 8 results
Machine Learning for Earth Systems Modelling

Machine Learning for Earth Systems Modelling

Format: Interactive modules (eLearning)
Published: April 7, 2026

Architectures, Data, and Prediction Online training course 2ML workflows from theory to practice June 2026 ...

Machine Learning for Earth Systems Modelling

Machine Learning for Earth Systems Modelling

Format: Interactive modules (eLearning)
Published: February 2, 2026

Foundations and New Frontiers Online training course 1From foundations to hands-on applications! 16 March 2026 ...

Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

Format: Interactive modules (eLearning)
Published: April 16, 2025

The SAPP system is the ECMWF's operational acquisition and pre-processing system for observations and other input data.

Introduction to Metview

Introduction to Metview

Format: Interactive modules (eLearning)
Published: May 15, 2023

Metview is a meteorological workstation application that enables you to access and visualise meteorological data.

A starter guide to ecFlow

A starter guide to ecFlow

Format: Interactive modules (eLearning)
Published: May 15, 2023

ecFlow is a workflow package that enables users to run a large number of programmes behind a firewall.

MARS ECMWF's meteorological archive

MARS ECMWF's meteorological archive

Format: Interactive modules (eLearning)
Published: May 15, 2023

The Meteorological Archival and Retrieval System (MARS) enables users to access and retrieve ECMWF’s historical data.

Introduction to BUFR decoding with ecCodes

Introduction to BUFR decoding with ecCodes

Format: Interactive modules (eLearning)
Published: May 15, 2023

ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB and BUFR formats.

MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

Format: Interactive modules (eLearning)
Published: October 28, 2022

Six modules introducing the main topics in machine learning in the context of weather and climate.