Open Data Science Europe Workshop 2021

Open data and tools for global wildfire danger forecasting
2021-09-10, 14:00–14:40, HUGOTech

Although forest fires are an integral part of the natural Earth system dynamics, they are becoming more devastating and less predictable as anthropogenic climate change exacerbates their impacts. We observe longer fire seasons, more extreme fire weather and more rain-free days globally, which are inducing significant variations in wildfire danger.

Fire observations (either in situ or remotely sensed) are important to understand the physical phenomenon and estimate spatio-temporal trends and patterns, while forecasting fire danger allows first responders to act quickly and efficiently at the onset of a dangerous event. The European Centre for Medium-range Weather Forecasts (ECMWF) and Copernicus have created a wealth of datasets related to the forecasting of wildfire danger as well as the detection of wildfire events and related emissions in the atmosphere. These products contribute to the operational services provided by the Copernicus Emergency Management Service (CEMS) and the Copernicus Atmosphere Monitoring Service (CAMS) and consists of real time forecasts as well as historical datasets based on ECMWF reanalysis database ERA5. Data is open and available through the Copernicus Climate Data Store (CDS), the European Commission’s Global Wildfire Information System (GWIS) and European Forest Fire Information System (EFFIS).

In this talk I will present the complete wildfire-related data offering, tools for efficient data processing and visualisation as well as results from recent research projects.


Please, insert here all the other authors of your submission, together with their affiliated institution.

n/a