Update to Meteosat Active Fire Monitoring (FIR) product

Changes to the Meteosat Active Fire Monitoring (FIR) product are due to take place at the end of June.

Thursday, 02 May 2019

The active fire monitoring product is a fire detection product indicating the presence of fire within a pixel. The underlying concept of the algorithm takes advantage of the fact that SEVIRI channel IR3.9 is very sensitive to hot spots which are caused by fires.

The new algorithm will introduce two improvements.

  1. Fire detection closer to the coastlines is improved by introducing a new enhanced higher resolution land-sea mask.
  2. The threshold tests will adopt a Bayesian approach. Each individual test will have a minimum and maximum threshold. Values below the minimum threshold indicate no fire (confidence=0), while values above the maximum threshold indicate fire (confidence=1). Values between the thresholds are linearly interpolated between 0 and 1. Combination of all the tests together will yield a 'fire probability' between 0 and 100%.

Due to this new Bayesian approach, the new FIR GRIB product will have an additional 'fire probability' parameter encoded with parameter number of 192 of GRIB table 4.2.3.1, currently reserved for local use. There will be no changes for the FIR CAP product. The use of this local parameter, as well as its migration to using a WMO template, will be documented soon.

Roll-out of the new algorithm for all Meteosat services (0 degree, RSS and IODC) is planned with MSG MPEF (Meteosat Product Extraction Facility) release 2.8, currently scheduled for end of June 2019 (exact date to be announced in due course).

Sample data of the new FIR GRIB product are available on our ftp site:
ftp://ftp.eumetsat.int/pub/OPS/out/test-data/Test-data-for-External-Users/New_FIR_Product_May2019/

Note: The new FIR product is currently under validation and the thresholds for the tests may still need some fine tuning. The provided sample data can only be used for familiarisation of the new product format, and should not be evaluated by their scientific content.

For more information, contact our User Service Helpdesk.

 

 
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