Major modification in progress for this article - please DO NOT UPDATE THIS PAGE or your edits will get overwritten when the new modified article will be published. Please edit the working copy of this page in the C3S Modified CKB articles or CAMS Modified CKB articles section." |
The CAMS Global Fire Assimilation System (GFAS) assimilates fire radiative power (FRP) observations from satellite-based sensors to produce daily estimates of biomass burning emissions. It has been extended to include information about injection heights derived from the same FRP observations combined with meteorological information from the ECMWF operational weather forecast.
FRP observations currently assimilated in CAMS GFAS are the NASA Terra MODIS and Aqua MODIS active fire products (http://modis-fire.umd.edu/).
CAMS GFAS data covers the period from 2003 to present, and includes: FRP, dry matter burnt and biomass burning emissions.
The features of the current version of CAMS GFAS (GFAS v1.2) are:
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. Iceland and Hawai'i are considered as special cases due to volcanic activity and any thermal anomaly detections there are filtered out to mitigate against any spurious signals. MODIS 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. |
The data is now available from the Atmosphere Data Store (ADS), as the dataset:
CAMS global biomass burning emissions based on fire radiative power (GFAS)
This data can be accessed either interactively through its download web form or programmatically using the CDS API service.
It's strongly suggested to construct CDS API requests by using the web form of the relevant dataset and using the 'Show API request' button to get the code. Please note, currently only strings should be used as keyword values in a CDS API request for ADS data.
CAMS GFAS data for the latest seven days can also be accessed through the FTP service. For a list of variables available on the FTP please see here.
Access to CAMS GFAS data through the ECMWF public Web API service ended on . To move to the ADS service, please follow our guidelines on How to migrate to CDS API on the Atmosphere Data Store (ADS).
Before downloading data, users must accept the Copernicus CAMS data licence.
CAMS GFAS data guaranteed by 07:00 UTC.
It is possible that the data will be available earlier but it is not guaranteed.
Variations in delivery times may occur due to the non-operational nature of this ADS service, as issues may arise which cause delays. For any time-critical work, users should rely on ECMWF FTP service dissemination system instead.
Data are available globally on a regular latitude-longitude grid with a horizontal resolution of 0.1 degrees.
The Global Fire Assimilation System v1.2 runs once a day from 00 UTC based on the last complete day of MODIS observations. The GFAS analysis provides a 24-hour average of the last whole day valid for 00-23 UTC.
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 uses two different models (the Plume Rise Model, or PRM, and the Integrated Monitoring and Modelling System for wildland fires, or 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 daily averages of fire radiative power and 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 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.
Name | Units | Variable name in CDS API | Short name | Parameter ID | Note |
| Mean altitude of maximum injection | m (above sea level) | mean_altitude_of_maximum_injection | mami | 119.210 | |
| Altitude of plume top | m (above sea level) | altitude_of_plume_top | apt | 120.210 | The parameters describe the top and bottom altitude of the smoke plume and are provided on the 10 degree longitude by 10 degree latitude output grid of GFAS. |
| Altitude of plume bottom* | m (above sea level) | altitude_of_plume_bottom | apb | 242.210 | The parameters describe the top and bottom altitude of the smoke plume and are provided on the 10 degree longitude by 10 degree latitude output grid of GFAS. |
| Injection height (from IS4FIRES)* | m | injection_height | injh | 60.210 |
*since 1 July 2018 |
| Name | Units | Variable name in CDS API | Short name | Parameter ID |
|---|---|---|---|---|
| Wildfire flux of acetaldehyde (C2H4O) | kg m-2 s-1 | wildfire_flux_of_acetaldehyde | c2h4ofire | 114.210 |
| Wildfire flux of acetone (C3H6O) | kg m-2 s-1 | wildfire_flux_of_acetone | c3h6ofire | 115.210 |
| Wildfire flux of ammonia (NH3) | kg m-2 s-1 | wildfire_flux_of_ammonia | nh3fire | 116.210 |
| Wildfire flux of benzene (C6H6) | kg m-2 s-1 | wildfire_flux_of_benzene | c6h6fire | 232.210 |
| Wildfire flux of black carbon | kg m-2 s-1 | wildfire_flux_of_black_carbon | bcfire | 91.210 |
| Wildfire flux of butanes (C4H10) | kg m-2 s-1 | wildfire_flux_of_butanes | c4h10fire | 238.210 |
| Wildfire flux of butenes (C4H8) | kg m-2 s-1 | wildfire_flux_of_butenes | c4h8fire | 234.210 |
| Wildfire flux of carbon dioxide (CO2) | kg m-2 s-1 | wildfire_flux_of_carbon_dioxide | co2fire | 80.210 |
| Wildfire flux of carbon monoxide (CO) | kg m-2 s-1 | wildfire_flux_of_carbon_monoxide | cofire | 81.210 |
| Wildfire flux of dimethyl sulfide (DMS) (C2H6S) | kg m-2 s-1 | wildfire_flux_of_dimethyl_sulfide | c2h6sfire | 117.210 |
| Wildfire flux of ethane (C2H6) | kg m-2 s-1 | wildfire_flux_of_ethane | c2h6fire | 118.210 |
| Wildfire flux of ethanol (C2H5OH) | kg m-2 s-1 | wildfire_flux_of_ethanol | c2h5ohfire | 104.210 |
| Wildfire flux of ethene (C2H4) | kg m-2 s-1 | wildfire_flux_of_ethene | c2h4fire | 106.210 |
| Wildfire flux of formaldehyde (CH2O) | kg m-2 s-1 | wildfire_flux_of_formaldehyde | ch2ofire | 113.210 |
| Wildfire flux of heptane (C7H16) | kg m-2 s-1 | wildfire_flux_of_heptane | c7h16fire | 241.210 |
| Wildfire flux of hexanes (C6H14) | kg m-2 s-1 | wildfire_flux_of_hexanes | c6h14fire | 240.210 |
| Wildfire flux of hexene (C6H12) | kg m-2 s-1 | wildfire_flux_of_hexene | c6h12fire | 236.210 |
| Wildfire flux of higher alkanes (CnH2n+2, c>=4) | kg m-2 s-1 | wildfire_flux_of_higher_alkanes | hialkanesfire | 112.210 |
| Wildfire flux of higher alkenes (CnH2n, c>=4) | kg m-2 s-1 | wildfire_flux_of_higher_alkenes | hialkenesfire | 111.210 |
| Wildfire flux of hydrogen (H) | kg m-2 s-1 | wildfire_flux_of_hydrogen | h2fire | 84.210 |
| Wildfire flux of isoprene (C5H8) | kg m-2 s-1 | wildfire_flux_of_isoprene | c5h8fire | 108.210 |
| Wildfire flux of methane (CH4) | kg m-2 s-1 | wildfire_flux_of_methane | ch4fire | 82.210 |
| Wildfire flux of methanol (CH3OH) | kg m-2 s-1 | wildfire_flux_of_methanol | ch3ohfire | 103.210 |
| Wildfire flux of nitrogen oxides (NOx) | kg m-2 s-1 | wildfire_flux_of_nitrogen_oxides | noxfire | 85.210 |
| Wildfire flux of nitrous oxide (N20) | kg m-2 s-1 | wildfire_flux_of_nitrous_oxide | n2ofire | 86.210 |
| Wildfire flux of non-methane hydrocarbons | kg m-2 s-1 | wildfire_flux_of_non_methane_hydrocarbons | nmhcfire | 83.210 |
| Wildfire flux of octene (C8H16) | kg m-2 s-1 | wildfire_flux_of_octene | c8h16fire | 237.210 |
| Wildfire flux of organic carbon | kg m-2 s-1 | wildfire_flux_of_organic_carbon | ocfire | 90.210 |
| Wildfire flux of particulate matter d < 2.5 µm (PM2.5) | kg m-2 s-1 | wildfire_flux_of_particulate_matter_d_2_5_µm | pm2p5fire | 87.210 |
| Wildfire flux of pentanes (C5H12) | kg m-2 s-1 | wildfire_flux_of_pentanes | c5h12fire | 239.210 |
| Wildfire flux of pentenes (C5H10) | kg m-2 s-1 | wildfire_flux_of_pentenes | c5h10fire | 235.210 |
| Wildfire flux of propane (C3H8) | kg m-2 s-1 | wildfire_flux_of_propane | c3h8fire | 105.210 |
| Wildfire flux of propene (C3H6) | kg m-2 s-1 | wildfire_flux_of_propene | c3h6fire | 107.210 |
| Wildfire flux of sulphur dioxide (SO2) | kg m-2 s-1 | wildfire_flux_of_sulphur_dioxide | so2fire | 102.210 |
| Wildfire flux of terpenes ((C5H8)n) | kg m-2 s-1 | wildfire_flux_of_terpenes | terpenesfire | 109.210 |
| Wildfire flux of toluene (C7H8) | kg m-2 s-1 | wildfire_flux_of_toluene | c7h8fire | 231.210 |
| Wildfire flux of toluene_lump (C7H8+ C6H6 + C8H10) | kg m-2 s-1 | wildfire_flux_of_toluene_lump | toluenefire | 110.210 |
| Wildfire flux of total carbon in aerosols | kg m-2 s-1 | wildfire_flux_of_total_carbon_in_aerosols | tcfire | 89.210 |
| Wildfire flux of total particulate matter | kg m-2 s-1 | wildfire_flux_of_total_particulate_matter | tpmfire | 88.210 |
| Wildfire flux of xylene (C8H10) | kg m-2 s-1 | wildfire_flux_of_xylene | c8h10fire | 233.210 |
| Wildfire fraction of area observed | dimensionless | wildfire_fraction_of_area_observed | ||
| Wildfire overall flux of burnt carbon | kg m-2 s-1 | wildfire_overall_flux_of_burnt_carbon | cfire | 92.210 |
| Wildfire radiative power | W m-2 | wildfire_radiative_power |
The table below presents the observations used in GFASv1.2. FRP observations are from the MODIS instruments on the NASA Terra and Aqua satellites which were launched in December 1999 and June 2002 respectively.
(last reviewed on )
| Parameter | Instrument | Satellite | Period | Data Provider/version |
|---|---|---|---|---|
| FRP | MODIS | Terra | 2000-present | NASA LANCE-MODIS, collection 6 |
| FRP | MODIS | Aqua | 2003-present | NASA LANCE-MODIS, collection 6 |
The latest daily Fire Radiative Power (FRP) analysis from GFAS is available here. The map represents the thermal radiation measured from space-borne sensors and detected as coming from actively burning vegetation and other open fires. It is expressed as the daily average of the fire radiative power (FRP) observations made in 125 km grid cells and expressed in the units of [mW/m2]. 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 daily averaged FRP areal intensity data are used in the global estimation of open vegetation fire trace gas and particulate emissions.
Please acknowledge the use of the CAMS GFAS data as stated in the Copernicus CAMS License agreement:
"Where the Licensee communicates to the public or distributes or publishes CAMS Information, the Licensee shall inform the recipients of the source of that information by using the following or any similar notice:
'Generated using Copernicus Atmosphere Monitoring Service Information [Year]'.
Where the Licensee makes or contributes to a publication or distribution containing adapted or modified CAMS Information, the Licensee shall provide the following or any similar notice:
'Contains modified Copernicus Atmosphere Monitoring Service Information [Year]';
Any such publication or distribution shall state that "neither the European Commission nor ECMWF is responsible for any use that may be made of the information it contains."
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]
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]
Di Giuseppe, F, Remy, S, Pappenberger, F, Wetterhall, F, 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
Heil et al. (2010) Assessment of the Real-Time Fire Emissions (GFASv0) by MACC, ECMWF Tech. Memo No. 628 [PDF]
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]
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.
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
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. |