This data set provides complete historical reconstruction of meteorological conditions favourable to the start, spread and sustainability of fires. The fire danger metrics provided are part of a vast dataset produced by the Copernicus Emergency Management Service for the European Forest Fire Information System (EFFIS). The European Forest Fire Information System incorporates the fire danger indices for three different models developed in Canada, United States and Australia. In this dataset the fire danger indices are calculated using weather forecast from historical simulations provided by ECMWF ERA5 reanalysis. ERA5 by combining model data and a vast set of quality controlled observations provides a globally complete and consistent data-set and is regarded as a good proxy for observed atmospheric conditions. The selected data records in this data set are regularly extended with time as ERA5 forcing data become available. This dataset is produced by ECMWF in its role of the computational centre for fire danger forecast of the CEMS, on behalf of the Joint Research Centre which is the managing entity of the service.

June, July August consolidated data.

Generated using Copernicus Climate Change Service information 2021.

This dataset offers modeled daily fire danger time series, driven by seasonal weather forecasts. It provides long-range predictions of meteorological conditions conducive to the initiation, spread, and persistence of fires. The fire danger metrics included in this dataset are part of 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 and GWIS are used for monitoring and forecasting fire danger at both European and global scales. The dataset incorporates fire danger indices 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 generated by driving the Global ECMWF Fire Forecast (GEFF) model with seasonal weather ensemble forecasts from the European Centre 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 temporal resolution is daily forecasts at 12:00 local time, available once a month, with a prediction horizon of 216 days (equivalent to 7 months). The data records in this dataset will be extended over time as seasonal forcing data becomes available. Once the SEAS5 operation ceases, the dataset will be updated with the next ECMWF seasonal system (SEAS6). It is essential to note that this is not a real-time service, as real-time forecasts are accessible through the EFFIS web services. These seasonal forecasts can be used to assess the performance of the forecasting system or to develop tools for 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 serves as the managing entity for this service.

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 the EFFIS and GWIS platforms.

This repository provides sample datasets for the assessment of the fire danger during the Attica (Greece) wildfires occurred on 23-26 July 2018:

ECMWF_EFFIS_20180723_1200_en.tar (ensemble forecasts issued on 2018-07-23, global coverage, all indices)

ECMWF_EFFIS_20180723_1200_hr.tar (deterministic forecasts issued on 2018-07-23, global coverage, all indices)

ECMWF_EFFIS_20180723-26_1200_hr_e5.tar (deterministic reanalysis based on ERA5 issued for 2018-07-23, global coverage, all indices)

ECMWF_EFFIS_20180723-26_1200_en_e5.tar (probabilistic reanalysis based on ERA5 issued for 2018-07-23, global coverage, all indices)

ECMWF_EFFIS_20180723-26_e5.tar (probabilistic and deterministic reanalysis based on ERA5 issued for 2018-07-23/26, global coverage, FWI only)

bbox.tar, containing 1 index (FWI) for the bounding box:

GEFF-reanalysis, which provides historical records of fire danger conditions in the period 23-26 July 2018

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 (in the period 14-26 July 2018) generated using weather forcings from the latest model cycle of the ECMWF’s Integrated Forecasting System (IFS).

rt_hr, this folder contains high-resolution deterministic forecasts (~9 Km)

rt_en, this folder contains probabilistic forecasts (~18Km)

lon_min = 23, lon_max = 25, lat_min = 37, lat_max = 39

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 Commission’s 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 the CDS and on the EFFIS website.

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 the EFFIS and GWIS platforms.

This repository provides FWI sample datasets for the assessment of the wildfires occurred in Sweden on 15-20 July 2018:

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 45r1 of the ECMWF’s 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 = 10.1, lon_max = 24.8, lat_min = 55, lat_max = 69

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 Commission’s 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 the CDS and on the EFFIS website.

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 the EFFIS and GWIS platforms.

This repository provides FWI sample datasets for the assessment of the Portugal wildfires occurred on 25-27 July 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 ECMWF’s 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 Commission’s 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 the CDS and on the EFFIS website.