You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 4 Current »

Table of Contents

Overview

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.

Evolution of the CAMS Global Fire Assimilation System

GFAS undergoes regular enhancements in order to better meet user needs and improve the service. 

Implementation dateVersionSummary of changes / features
Dec 5, 20251.4.2
  • assimilation of VIIRS FRP in addition to MODIS FRP
  • update of the screening of spurious signal based on satellite information, a static volcanic mask and persistent signal
  • hourly and 24h rolling averages output
Jan 22, 20191.4
  • assimilation of MODIS FRP
  • screening of spurious signal based on satellite information, a static volcanic mask and persistent signal
  • hourly and 24h rolling averages output
Jul 3, 20181.2
  • assimilation of MODIS FRP
  • screening of spurious signal based on a static gas flare and volcanic mask
  • daily output

Temporal frequency

GFAS v1.4.2 runs hourly and produces hourly and 24-hour rolling average output.

  • Hourly fields are based on the next hour observations with respect to valid time.
  • 24-hour rolling average fields are based on the next 0-23 hourly fields (next 0-24 hour observations) with respect to valid time.

Data access

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 availability

  • Hourly fields data are produced at about 7.5 hours after their valid time.
  • 24-hour rolling average fields are produced at about 1 day + 6.5 hours after their valid time.

Data might be available earlier but it is not guaranteed.

Spatial grid

Data are available globally on a regular latitude-longitude grid with a horizontal resolution of 0.1 degrees.

Data format

The GFAS File format is GRIB1. See What are GRIB files and how can I read them for more information.

Injection height parameters

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).

Analysis surface parameters

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).

Parameter listing

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

UnitsShort nameParameter ID
Altitude of plume topmapt120.210
Altitude of plume bottommapb242.210
Injection heightminjh60.210

Table 2: CAMS GFAS analysis surface parameters (last reviewed on )

NameUnitsShort nameParameter ID
Wildfire combustion ratekg m-2 s-1crfire100.210
Wildfire flux of acetaldehyde (C2H4O)kg m-2 s-1c2h4ofire114.210
Wildfire flux of acetone (C3H6O)kg m-2 s-1c3h6ofire115.210
Wildfire flux of ammonia (NH3)kg m-2 s-1nh3fire116.210
Wildfire flux of benzene (C6H6)kg m-2 s-1c6h6fire232.210
Wildfire flux of black carbonkg m-2 s-1bcfire91.210
Wildfire flux of butanes (C4H10)kg m-2 s-1c4h10fire238.210
Wildfire flux of butenes (C4H8)kg m-2 s-1c4h8fire234.210
Wildfire flux of carbon dioxide (CO2)kg m-2 s-1co2fire80.210
Wildfire flux of carbon monoxide (CO)kg m-2 s-1cofire81.210
Wildfire flux of dimethyl sulfide (DMS) (C2H6S)kg m-2 s-1c2h6sfire117.210
Wildfire flux of ethane (C2H6)kg m-2 s-1c2h6fire118.210
Wildfire flux of ethanol (C2H5OH)kg m-2 s-1c2h5ohfire104.210
Wildfire flux of ethene (C2H4)kg m-2 s-1c2h4fire106.210
Wildfire flux of formaldehyde (CH2O)kg m-2 s-1ch2ofire113.210
Wildfire flux of heptane (C7H16)kg m-2 s-1c7h16fire241.210
Wildfire flux of hexanes (C6H14)kg m-2 s-1c6h14fire240.210
Wildfire flux of hexene (C6H12)kg m-2 s-1c6h12fire236.210
Wildfire flux of higher alkanes (CnH2n+2, c>=4)kg m-2 s-1hialkanesfire112.210
Wildfire flux of higher alkenes (CnH2n, c>=4)kg m-2 s-1hialkenesfire111.210
Wildfire flux of hydrogen (H)kg m-2 s-1h2fire84.210
Wildfire flux of isoprene (C5H8)kg m-2 s-1c5h8fire108.210
Wildfire flux of methane (CH4)kg m-2 s-1ch4fire82.210
Wildfire flux of methanol (CH3OH)kg m-2 s-1ch3ohfire103.210
Wildfire flux of nitrogen oxides (NOx)kg m-2 s-1noxfire85.210
Wildfire flux of nitrous oxide (N20)kg m-2 s-1n2ofire86.210
Wildfire flux of non-methane hydrocarbonskg m-2 s-1nmhcfire83.210
Wildfire flux of octene (C8H16)kg m-2 s-1c8h16fire237.210
Wildfire flux of organic carbonkg m-2 s-1ocfire90.210
Wildfire flux of particulate matter d < 2.5 µm (PM2.5)kg m-2 s-1pm2p5fire87.210
Wildfire flux of pentanes (C5H12)kg m-2 s-1c5h12fire239.210
Wildfire flux of pentenes (C5H10)kg m-2 s-1c5h10fire235.210
Wildfire flux of propane (C3H8)kg m-2 s-1c3h8fire105.210
Wildfire flux of propene (C3H6)kg m-2 s-1c3h6fire107.210
Wildfire flux of sulphur dioxide (SO2)kg m-2 s-1so2fire102.210
Wildfire flux of terpenes ((C5H8)n)kg m-2 s-1terpenesfire109.210
Wildfire flux of toluene (C7H8)kg m-2 s-1c7h8fire231.210
Wildfire flux of toluene_lump (C7H8+ C6H6 + C8H10)kg m-2 s-1toluenefire110.210
Wildfire flux of total carbon in aerosolskg m-2 s-1tcfire89.210
Wildfire flux of total particulate matterkg m-2 s-1tpmfire88.210
Wildfire flux of xylene (C8H10)kg m-2 s-1c8h10fire233.210
Wildfire fraction of area observed / Inverse FRP variance*dimensionlessoffire97.210
Wildfire overall flux of burnt carbonkg m-2 s-1cfire92.210

Wildfire radiative power*

W m-2frpfire99.210

*available only as hourly fields; not screened for spurious signal

Satellites and instruments

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 )

ParameterInstrumentSatelliteSatellite operational periodData provider/version
FRPMODISTerra2000-presentNASA LANCE, collection 6.1
FRPMODISAqua2003-presentNASA LANCE, collection 6.1
FRPVIIRSSNPP2012-presentNASA LANCE, collection 2

GFAS Maps

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. 

Q&A

Users can find the Q&A for wildfires here.

References

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]


---------

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.

  • No labels