In Brief 

This dataset provides modelled offers modeled daily fire danger time series forced with seasonal meteorological reforecasts, driven by seasonal weather forecasts. It provides long-range prediction predictions of meteorological conditions favourable conducive to the startinitiation, spread, and sustainability persistence of fires. The fire danger metrics provided included in this dataset are part of a vast an extensive dataset produced by the Copernicus Emergency Management Service (CEMS) for the European Forest Fire Information System (EFFIS) and the Global Wildfire Information System (GWIS). EFFIS incorporates the and GWIS are used for monitoring and forecasting fire danger at both European and global scales. The dataset incorporates fire danger indices for from the U.S. Forest Service National Fire-Danger Rating System (NFDRS), the Canadian Forest Service Fire Weather Index Rating System (FWI), and the Australian McArthur (Mark 5) rating systems.

This dataset was produced generated by forcing driving the Global ECMWF Fire Forecast   (GEFF, https://git.ecmwf.int/projects/CEMSF/repos/geff/browse) model with seasonal meteorological ensemble reforecasts. The forcing meteorological data are seasonal reforecasts weather ensemble forecasts from the European Centre of Medium-range Weather Forecasts (ECMWF) System5 (for Medium-Range Weather Forecasts (ECMWF) System 5 (SEAS5) prediction system.These forecasts initially consist of 25 ensemble members until December 2016, referred to as re-forecasts. After that period, they consist of seasonal forecasts with 51 members. It is important to note that the re-forecast dataset was initialized using ERA-Interim analysis data, while forecast simulations from 2016 onward are initialized using ECMWF operational analysis. Therefore, it is suggested that the period 1981-2016 be used as a reference period, while the period 2017-to present as a real time forecast.

For both the re-forecast (1981-2016) and forecast periods (2017-present), the SEAS5), consisting of 25 ensemble members up until December 2016, and after that 51 members. The temporal resolution is daily forecasts at 12:00 local time initialised , available once a month, with an a prediction horizon of 216 days (equivalent to 7 months) over the past period 1981-2022. The selected data records in this data set dataset will be extended with over time as SEAS5 seasonal forcing data become available. This is however becomes available. Once the SEAS5 operation ceases, the dataset will be updated with the next ECMWF seasonal system (SYS6). It is essential to note that this is not a real-time service, as real-time forecasts are made available accessible through the EFFIS /GWIS web services.

Reforests are forecasts run over past dates and are typically These seasonal forecasts can be used to assess the skill performance of a forecast the forecasting system or to develop tools for statistical error correction of the forecasts. This dataset is produced by ECMWF in its role of the computational centre for fire danger forecast of the CEMS, statistically correcting forecast errors. ECMWF produces this dataset as the computational center for fire danger forecasting within the Copernicus Emergency Management Service (CEMS) on behalf of the Joint Research Centre, which is serves as the managing entity of the for this service.

Fire danger variables descriptions

...