The CAMS Global Fire Assimilation System (GFAS) assimilates fire radiative power (FRP) observations from satellite-based sensors to produce estimates of biomass burning emissions. FRP observations currently assimilated in CAMS GFAS are MODIS and VIIRS active fire products (https://ladsweb.modaps.eosdis.nasa.gov/). The rate of release of thermal radiation by a fire is believed to be related to the rate at which fuel is being consumed and smoke produced. Therefore, these FRP data are used (after screening for spurious signal) in the global estimation of open vegetation fire trace gas and particulate emissions. GFAS includes also information about injection heights derived from the same FRP observations combined with meteorological information from the ECMWF operational weather forecast.
CAMS GFAS data includes: FRP, burnt dry matter (combustion rate), injection height and biomass burning emissions.
This page provides the documentation for GFAS v1.4.2.
CAMS GFAS fire data is based on satellite observations of thermal anomalies at the surface which are most commonly associated with vegetation fires, however, detections from other heat sources (such as active volcanos and gas flaring) and reflective surfaces may also be possible. GFAS tries to minimise these spurious detections to ensure that the data is largely based on vegetation fires. Satellite observations may be limited by smaller fires being below the detection threshold of the instruments or in the presence of cloud when the instruments are not able to observe the surface. |
GFAS undergoes regular enhancements in order to better meet user needs and improve the service.
| Implementation date | Version | Summary of changes / features |
|---|---|---|
| Dec 5, 2025 | 1.4.2 |
|
| Jan 22, 2019 | 1.4 |
|
| Jul 3, 2018 | 1.2 |
|
GFAS v1.4.2 runs hourly and produces hourly and 24-hour rolling average output.
The latest seven days of the data can be accessed through the SFTP/FTP/HTTPS data access. For a list of variables available on the FTP please see here.
Before downloading data, users must accept the license on the Atmosphere Data Store.
Data might be available earlier but it is not guaranteed.
Data are available globally on a regular latitude-longitude grid with a horizontal resolution of 0.1 degrees.
The GFAS File format is GRIB1. See What are GRIB files and how can I read them for more information.
Injection height parameters (see Table 1) provide information on the height at which a fire releases emissions into the atmosphere due to the convection related to the high intensity of the fire. GFAS v1.4.2 uses the Integrated Monitoring and Modelling System for wildland fires (IS4FIRES) to calculate the injection height, based on satellite observed FRP and the ECMWF forecast of key atmospheric parameters. More information on the injection height calculations in GFAS can be found in Remy et al. (2017).
The analysis surface parameters (see Table 2) provided by GFAS are hourly fire radiative power, hourly and 24-hour average emissions fluxes of pyrogenic atmospheric species based on a combination of the available satellite FRP observations and the GFAS analysis of the previous day. The assimilation of FRP observations is performed applying a Kalman filter to fill in any observational gaps (due to, e.g., cloud cover) and to propagate the previous day's analysis forwards in time and take into account the new FRP observations. More information on the GFAS technical details can be found in Kaiser et al. (2012).
Table 1 below provides the injection height parameters and Table 2 provides analysis surface parameters.
Table1: Gridded injection height parameters from IS4FIRES (last reviewed on )
Name | Units | Short name | Parameter ID |
| Altitude of plume top | m | apt | 120.210 |
| Altitude of plume bottom | m | apb | 242.210 |
| Injection height | m | injh | 60.210 |
Table 2: CAMS GFAS analysis surface parameters (last reviewed on )
| Name | Units | Short name | Parameter ID |
|---|---|---|---|
| Wildfire combustion rate | kg m-2 s-1 | crfire | 100.210 |
| Wildfire flux of acetaldehyde (C2H4O) | kg m-2 s-1 | c2h4ofire | 114.210 |
| Wildfire flux of acetone (C3H6O) | kg m-2 s-1 | c3h6ofire | 115.210 |
| Wildfire flux of ammonia (NH3) | kg m-2 s-1 | nh3fire | 116.210 |
| Wildfire flux of benzene (C6H6) | kg m-2 s-1 | c6h6fire | 232.210 |
| Wildfire flux of black carbon | kg m-2 s-1 | bcfire | 91.210 |
| Wildfire flux of butanes (C4H10) | kg m-2 s-1 | c4h10fire | 238.210 |
| Wildfire flux of butenes (C4H8) | kg m-2 s-1 | c4h8fire | 234.210 |
| Wildfire flux of carbon dioxide (CO2) | kg m-2 s-1 | co2fire | 80.210 |
| Wildfire flux of carbon monoxide (CO) | kg m-2 s-1 | cofire | 81.210 |
| Wildfire flux of dimethyl sulfide (DMS) (C2H6S) | kg m-2 s-1 | c2h6sfire | 117.210 |
| Wildfire flux of ethane (C2H6) | kg m-2 s-1 | c2h6fire | 118.210 |
| Wildfire flux of ethanol (C2H5OH) | kg m-2 s-1 | c2h5ohfire | 104.210 |
| Wildfire flux of ethene (C2H4) | kg m-2 s-1 | c2h4fire | 106.210 |
| Wildfire flux of formaldehyde (CH2O) | kg m-2 s-1 | ch2ofire | 113.210 |
| Wildfire flux of heptane (C7H16) | kg m-2 s-1 | c7h16fire | 241.210 |
| Wildfire flux of hexanes (C6H14) | kg m-2 s-1 | c6h14fire | 240.210 |
| Wildfire flux of hexene (C6H12) | kg m-2 s-1 | c6h12fire | 236.210 |
| Wildfire flux of higher alkanes (CnH2n+2, c>=4) | kg m-2 s-1 | hialkanesfire | 112.210 |
| Wildfire flux of higher alkenes (CnH2n, c>=4) | kg m-2 s-1 | hialkenesfire | 111.210 |
| Wildfire flux of hydrogen (H) | kg m-2 s-1 | h2fire | 84.210 |
| Wildfire flux of isoprene (C5H8) | kg m-2 s-1 | c5h8fire | 108.210 |
| Wildfire flux of methane (CH4) | kg m-2 s-1 | ch4fire | 82.210 |
| Wildfire flux of methanol (CH3OH) | kg m-2 s-1 | ch3ohfire | 103.210 |
| Wildfire flux of nitrogen oxides (NOx) | kg m-2 s-1 | noxfire | 85.210 |
| Wildfire flux of nitrous oxide (N20) | kg m-2 s-1 | n2ofire | 86.210 |
| Wildfire flux of non-methane hydrocarbons | kg m-2 s-1 | nmhcfire | 83.210 |
| Wildfire flux of octene (C8H16) | kg m-2 s-1 | c8h16fire | 237.210 |
| Wildfire flux of organic carbon | kg m-2 s-1 | ocfire | 90.210 |
| Wildfire flux of particulate matter d < 2.5 µm (PM2.5) | kg m-2 s-1 | pm2p5fire | 87.210 |
| Wildfire flux of pentanes (C5H12) | kg m-2 s-1 | c5h12fire | 239.210 |
| Wildfire flux of pentenes (C5H10) | kg m-2 s-1 | c5h10fire | 235.210 |
| Wildfire flux of propane (C3H8) | kg m-2 s-1 | c3h8fire | 105.210 |
| Wildfire flux of propene (C3H6) | kg m-2 s-1 | c3h6fire | 107.210 |
| Wildfire flux of sulphur dioxide (SO2) | kg m-2 s-1 | so2fire | 102.210 |
| Wildfire flux of terpenes ((C5H8)n) | kg m-2 s-1 | terpenesfire | 109.210 |
| Wildfire flux of toluene (C7H8) | kg m-2 s-1 | c7h8fire | 231.210 |
| Wildfire flux of toluene_lump (C7H8+ C6H6 + C8H10) | kg m-2 s-1 | toluenefire | 110.210 |
| Wildfire flux of total carbon in aerosols | kg m-2 s-1 | tcfire | 89.210 |
| Wildfire flux of total particulate matter | kg m-2 s-1 | tpmfire | 88.210 |
| Wildfire flux of xylene (C8H10) | kg m-2 s-1 | c8h10fire | 233.210 |
| Wildfire fraction of area observed / Inverse FRP variance* | dimensionless | offire | 97.210 |
| Wildfire overall flux of burnt carbon | kg m-2 s-1 | cfire | 92.210 |
Wildfire radiative power* | W m-2 | frpfire | 99.210 |
*available only as hourly fields; not screened for spurious signal
The table below presents the observations used in GFAS v1.4.2. FRP observations are from the MODIS instruments on the NASA Terra and Aqua satellites which were launched in December 1999 and June 2002 respectively, and the VIIRS instrument on the NASA/NOAA SNPP satellite which was launched in October 2011.
Table3: observations used in GFAS v1.4.2(last reviewed on )
| Parameter | Instrument | Satellite | Satellite operational period | Data provider/version |
|---|---|---|---|---|
| FRP | MODIS | Terra | 2000-present | NASA LANCE, collection 6.1 |
| FRP | MODIS | Aqua | 2003-present | NASA LANCE, collection 6.1 |
| FRP | VIIRS | SNPP | 2012-present | NASA LANCE, collection 2 |
Users can find the Q&A for wildfires here.
Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der Werf, G. R. (2012). Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. BG, 9:527-554. [PDF]
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Francesca Di Giuseppe, Samuel Rémy, Florian Pappenberger, and Fredrik Wetterhall, 2018: Combining fire radiative power observations with the fire weather index improves the estimation of fire emissions, Atmos. Chem. Phys. Discuss., 18, 5359–5370, https://doi.org/10.5194/acp-2017-790
Rémy, S., A. Veira, R. Paugam, M. Sofiev, J. W. Kaiser, F. Marenco, S. P. Burton, A. Benedetti, R. J. Engelen, R. Ferrare, and J. W. Hair, 2017: Two global data sets of daily fire emission injection heights since 2003, Atmos. Chem. Phys., 17, 2921-2942, https://doi.org/10.5194/acp-17-2921-2017.
N. Andela (VUA), J.W. Kaiser (ECMWF, KCL), A. Heil (FZ Jülich), T.T. van Leeuwen (VUA), G.R. van der Werf (VUA), M.J. Wooster (KCL), S. Remy (ECMWF) and M.G. Schultz (FZ Jülich), Assessment of the Global Fire Assimilation System (GFASv1). [PDF]
Xu et al. (2010) New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America. RSE Vol. 114
Heil et al. (2010) Assessment of the Real-Time Fire Emissions (GFASv0) by MACC, ECMWF Tech. Memo No. 628 [PDF]
Di Giuseppe, F, Remy, S, Pappenberger, F, Wetterhall, F (2016): Improving GFAS and CAMS biomass burning estimations by means of the Global ECMWF Fire Forecast system (GEFF), ECMWF Tech. Memo No. 790 [PDF]
This document has been produced in the context of the Copernicus Atmosphere Monitoring Service (CAMS). The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of CAMS on behalf of the European Union (Delegation Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view. |