Visualising Meteorological Data with QGIS

2-Day Online Workshop

A hands-on workshop by thriveGEO and Lutra Consulting

(1) Particulate Matter (PM) 10 from wildfires only (Data source: CAMS/ECMWF)

(2) Wind speed (Hurricane Michael) (Data source: ERA-5 reanalysis from C3S/ECMWF)

Learn how to leverage QGIS, an open-source Geographic Information System (GIS) software, to handle and visualise multi-dimensional meteorological data.

Recent developments in QGIS allow for an efficient handling of multi-dimensional meteorological data and supports the import of meteorological data formats.

This 2-day online workshop will give you key knowledge and practical skills to create impactful visualisations of meteorological data.

Designed for practitioners with basic GIS experience and no coding background, all are welcome to this course. Plus, workshop participants can obtain an official QGIS certificate!

Online Course

27-28 June 2024

Price (Early Bird / Regular)

600 Euros / 800 Euros (excl. VAT)

What you will learn

Understand important features of meteorological data types and formats
Access and download meteorological data from different data providers
Import and manage meteorological data with QGIS
Practice techniques for creating thematic maps (e.g. choropleth map, graduated symbols, etc.) to visualise meteorological data
Create animations to visualise temporal changes in meteorological data
Work with vertical controllers to interact with multi-dimensional data cubes

Day 1 - 9:00 to 17:00 (UTC+2)

Intro to meteorological data

Part 1: Introduction to meteorological data types (model forecasts, reanalysis, satellite observations) and atmospheric variables
Part 2: Meteorological data providers and data formats
Part 3: Discovering and accessing meteorological data from ECMWF, NASA and NOAA

Day 2 - 9:00 to 17:00 (UTC+2)

Meteorological data meets QGIS

Part 1: Introduction to QGIS and its functionalities
Part 2: Importing and managing (netCDF and GRIB) data in QGIS
Part 3: Creating thematic maps
Part 4: Create animations of meteorological time-series data

Are you a company or organisation interested in group training? Special group pricing is available.