Atmospheric Composition Data Cube

Analysis Ready Data with the Atmospheric Composition Data Cube

Online webinar: 16 Febuary 2022, 12:00 UTC

Image credit: Earth System Data Lab

Atmospheric Composition Data Cube
Atmospheric Composition Data Cube

Webinar with Federico Fierli (EUMETSAT), Julia Wagemann (MEEO srl) and Marco Cucchi (B-OPEN).

Last Updated

05 January 2023

Published on

03 February 2022

Analysis Ready Data (ARD) data are Earth Observation data pre-processed for users and ‘ready to analyse’. The idea behind ARD is, that a data provider such as EUMETSAT is in general in a better position to do general data pre-processing, e.g. atmospheric correction, cloud masking and re-gridding, than a user. ARD data are typically made available in form of a data cube, which is specialised on a specific region or a thematic application.

This short course introduces you to the Atmospheric Composition Data Cube (ACDC), a data cube prototype for satellite-based data on atmospheric composition. The ACDC makes use of the Data Tailor API, which allows for an efficient ‘on-demand’ access to a selection of EUMETSAT’s data.

The short course consists of two parts:

  1. High-level introduction to the concept of Analysis Ready Data; what is meant by ARD, the benefits and why it is important for efficient Earth Observation data handling.
  2. Hands-on practical exercise that shows you how you can access and process data with the atmosphere data cube and the Data Tailor API.

How to participate

Register to join

During the webinar, we will be using Slido to answer your questions. Go to the event on (no log in required).

The webinar will be recorded. After the session, the recording will be made available on the webinar training page.

This course is part of the spring 2022 edition of EUMETSAT series of online short courses on data discovery for weather, oceanography, air quality and climate. More information will be available soon.

Note: Visualisation of the implemented Earth system data cube is sourced from the Earth system data cubes unravel global multivariate dynamics research paper.