Fire Radiative Power Gridded (FRPGRID, LSA-503)

NRT Product available since Jul 2008


The FRPGRID product is based upon the FRPPIXEL product produced by the LSA SAF every 15 minutes from SEVIRI at the sensors native spatial resolution, but beyond the detected FRP stored in the FRPPIXEL product the FRPGRID product additionally includes adjustment of the recorded FRP for the influence of cloud cover that can mask fires from view, and for the estimated impact of undetected "low FRP" fires that remain below SEVIRI's active fire detection threshold. Either of these adjustments can be removed from the data if the user wishes, and the full FRPGRID product contents are described in the Supplement to Reference [1]. The product is produced on a 5 degree grid, every hour (much coarser than the original FRPPIXEL product input files in order to be able to have the aforementioned adjustments appropriately applied).


Product Documentation

This operational product is fully documented in following documents:

Users are encouraged to read references [1] and [2] linked to in the "References" list below, that, respectively, provide a peer-reviewed description of the algorithm, product contents, performance evaluation/accuracy and demonstration of use of the FRPGRID product. It is requested that users cite these papers to describe the FRPGRID product if it is used within their studies.


The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
FRPGRID was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)

Trigo, I. F., C. C. DaCamara, P. Viterbo, J.-L. Roujean, F. Olesen, C. Barroso, F. Camacho-de Coca, D. Carrer, S. C. Freitas, J. García-Haro, B. Geiger, F. Gellens-Meulenberghs, N. Ghilain, J. Meliá, L. Pessanha, N. Siljamo, and A. Arboleda, 2011: The Satellite Application Facility on Land Surface Analysis. Int. J. Remote Sens., 32, 2725-2744, doi: 10.1080/01431161003743199

The FRPGRID product contains an hourly estimation of the FRP at five degree resolution, and includes correction factors for atmospheric transmittance, cloud cover, and the reduced ability to detect low FRP fire pixels from geostationary orbit when compared to Low Earth Orbit (LEO) sensors.


Algorithm Description

The FRPGRID algorithm produces estimates of the landscape fire FRP at 5 degree resolution, averaging the total FRP measured over 1 hour. In addition to summarising the FRP information held within the FRPPIXEL product, the FRPGRID product algorithm applies statistical 'correction factors' to adjust the product values for the presence of clouds (which can mask fires from the view of the sensor) and for undetected 'small' fires whose FRP is below the detection limit of SEVIRI. The parameters in Table 1 define the FRPPIXEL product grid.


Data Characteristics

The FRPGRID algorithm generates one HDF5 product file at 1 degree resolution every hour. In the product, together with the mean FRP (MW) value adjusted for the presence of cloud and for undetected "low FRP" fires, other variables such as the observed range of the FRP (MW) value is also stored. The average cloud coverage and factor for the small fires are also stored for each 1 degree box. Other main ancillary pieces of information stored in the product at each grid cell, for example the number of fire pixels detected and the range of FRP recorded over the hour. The information necessary to remove the cloud cover and "undetected small fires" adjustments are also available, stored respectively in the product itself (for the cloud cover correction) and the product (ATBD) (for the undetected small fire correction).


Product Uncertainties

Those interested in the FRPGRID product usage should keep in mind that this product contains corrections for the fraction of the grid cell that is cloudy and therefore where no fire detection could take place even if a fire were present. It also contains a correction for the small (low FRP) fires that cannot be detected with SEVIRI. These corrections are statistical and aim at reducing the impact of these two issues (cloud and small fires) at a sub-continental scale and over a long period of time. Hence, the use of a single grid cell value for emission estimation might provide erroneous values, as the correction is only statistically valid when these emissions estimates are integrated over a large area or a long period. Importantly the observed FRP is also obtainable from this product (i.e. the value without these corrections applied). Please see the above documentation and [1] and [2] for more details. The use of the FRPPIXEL product is appropriated for the estimation of emission resulting from individual fires observed by SEVIRI. However, the FRPPIXEL product suffers from ignoring fires burning under clouds or which can cannot be detected by SEVIRI because their FRP is too low. The FRPGRID product makes attempts at correcting these limitations, and is potentially more appropriate than the FRPPIXEL product for longer-term (e.g. weekly, monthly or seasonally) fire emissions estimation conducted at regional scales. The FRPPIXEL and FRPGRID products can potentially be combined to benefit from their mutual advantages. For example, within each grid box of the FRPGRID product, the FRPPIXEL product can potentially be used for improving the information on the fires spatial location.



Measuring the FRP of a fire and integrating it over the fires lifetime provides an estimate of the total Fire Radiative Energy (FRE) released, which for landscape fires should be proportional to the total amount of biomass burned [3]. The FRP approach therefore provides an alternative approach to calculating wildfire fuel consumption through methods that rely on the mapping of burned area and assuming, measuring or modelling the supposed fuel consumption per unit area. It is the basis of the global fire emissions service (GFAS) used within the Copernicus Atmosphere Monitoring Service. Please see the FRPPIXEL product description for more details.

[1] Wooster, M. J., Roberts, G., Freeborn, P. H., Xu, W., Govaerts, Y., Beeby, R., He, J., Lattanzio, A., Fisher, D., and Mullen, R. (2015) LSA SAF Meteosat FRP products - Part 1: Algorithms, product contents, and analysis, Atmos. Chem. Phys., 15, 13217-13239, doi:10.5194/acp-15-13217-2015.

[2] Roberts, G., Wooster, M. J., Xu, W., Freeborn, P. H., Morcrette, J.-J., Jones, L., Benedetti, A., Jiangping, H., Fisher, D., and Kaiser, J. W. (2015) LSA SAF Meteosat FRP products - Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS), Atmos. Chem. Phys., 15, 13241-13267, doi:10.5194/acp-15-13241-2015.

[3] Wooster, M. J., G. Roberts, G. L. W. Perry, and Y. J. Kaufman (2005), Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release, J. Geophys. Res., 110, D24311, doi:10.1029/2005JD006318.