Fire

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Fire.jpg

The project team lead by University of Alcala (Spain) focuses on the following issues relating to Fire Disturbance:

  • Analysis and specification of scientific requirements relating to climate
  • Development and improvement of pre-processing and burned area algorithms.
  • Inter-comparison and selection of burned area algorithms
  • System prototyping and production of burned area datasets
  • Product validation and product assessment

More specifically, the project team will aim to:

  • Develop and validate algorithms to meet as far as possible GCOS Essential Climate Variable (ECV) requirements for (consistent, stable, error-characterized) global satellite data products from multi-sensor data archives
  • Produce and validate, within an research and development context, the most complete and consistent possible time series of multi-sensor global satellite data products for climate research and modelling
  • Optimize the impact of ESA Earth Observation (EO) missions data on climate data records
  • Strengthen inter-disciplinary cooperation between international earth observation, climate research and modelling communities, in pursuit of scientific excellence.

Fire products & equivalent CMIP5/Obs4MIPs Parameters

The table below shows the Fire output and its equivalent CMIP5 parameters, suggesting it is suitable for submission to Obs4MIPs (Observations for Model Intercomparisons), an activity to make observational products more accessible for climate model intercomparisons.

CCI
Product
CMIP5 Table CMIP5 Matching Parameter : CMIP5 Name CMIP5 Priority
Burnt Area Lmon Burnt Area Fraction : burntArea 1

Parameter characteristics & GCOS/CMC Requirements

Fire-table.jpg


Split at 3km is arbitrary
Types of errors
Single sensor uncertainty estimates for every observation (SSEOB)
Single sensor accuracy estimates for every observation (SSAOB)
Single sensor uncertainty estimates for TCDR (SSECDR)
Single sensor accuracy estimates for TCDR (SSACDR)
Error covariance matrix for TCDR (ERRCOV)
L3 merged product accuracy (ERRMERG)