Global ECMWF Fire Forecasting system - sample data for wildfires in Portugal on 25-26 July 2020 (Q9770)

The European Centre for Medium-Range Weather Forecasts (ECMWF) produces daily fire danger forecasts and reanalysis products from the Global ECMWF Fire Forecast (GEFF) model. Reanalysis is available through the Copernicus Climate Data Store (CDS) while the medium-range real-time forecast is available through theEFFISandGWISplatforms. This repository provides FWI sample datasets for the assessment of the Portugal wildfires occurred on 25-27July 2020: GEFF-reanalysis, which provides historical records of fire danger conditions e5_hr, this folder contains deterministic model outputs e5_en, this folder contains probabilistic model outputs (made of 10 ensemble members) GEFF-realtime provides real-time forecasts generated using weather forcings from the model cycle 47r1 of the ECMWFs Integrated Forecasting System (IFS). rt_hr, this folder contains high-resolution deterministic forecasts (~9 Km) rt_en, this folder contains probabilistic forecasts (~18Km) Geographical bounding box: lon_min = 350.18, lon_max = 353.81, lat_min = 36.78, lat_max = 42.15 Please note, the sample data provided in this repository is intended to be used for education purposes only (e.g. training courses). These products have been developed as part of the EU-funded Copernicus Emergency Management Services (CEMS) and complement other Copernicus products related to fire, such as the biomass-burning emissions made available by the Copernicus Atmosphere Monitoring Service (CAMS). The development of the GEFF modelling system was funded through a third-party agreement with the European Commissions Joint Research Centre (JRC). GEFF produces fire danger indices based on the Canadian Fire Weather index as well as the US and Australian fire danger models. GEFF datasets are under the Copernicus license, which provides users with free, full and open access to environmental data. For more information, please refer to the documentation on theCDSand on theEFFIS website.