FireMAFS (Fire Modelling and Forecasting System)
FireMAFS was led by Prof Martin Wooster (Kings College, London) as part of QUEST Theme 3 (Quantifying and Understanding the Earth System) project.
This dataset collection contains the MODIS Land Cover Type product multiple classification schemes, which describe land cover properties derived from observations spanning a year’s input of Terra and Aqua data. The data are stored in a 10 arc minute grid.
Fire was the most important disturbance agent worldwide in terms of area and variety of biomass affected, a major mechanism by which carbon is transferred from the land to the atmosphere, and a globally significant source of aerosols and many trace gas species. Despite such clear coupling between fire, climate, and vegetation, fire was not modelled as an interactive component of the climate/earth systems models of full complexity or intermediate complexity, that are used to model terrestrial ecosystem processes principally for simulating CO2 exchanges.
The objective of FireMAFS was to resolve these limitations by developing a robust method to forecast fire activity (fire 'danger' indices, ignition probabilities, burnt area, fire intensity etc), via a process-based model of fire-vegetation interactions, tested, improved, and constrained. This used a state-of-the-art EO data products and driven by seasonal weather forecasts issued with many months lead-time.
Much of the activity of FireMAFS was shaped by the research and technical priorities of QUESTESM (earth system model).
Key activities included the progressive development of the JULES-ED and SPITFIRE submodels.
Fire is now very well represented in QESM (Quest Earth System Model), making progress towards
a modelling capability for fire risk forecasting in the context of global change.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2008-12-10T03:15:42
- Dataset Reference Date ()
- 2008-12-10T03:15:42
- Identifier
- NCAS British Atmospheric Data Centre (NCAS BADC) / 67afe8bb533652ee15c37f5a6474ebbc
- Maintenance and update frequency
- unknown
- Update scope
- series
- Keywords
-
- QUEST
- FireMAFS
- Fire
- modelling
- forecasting
- GEMET - INSPIRE themes, version 1.0 ()
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- atmospheric conditions
- Limitations on Public Access
- otherRestrictions
- Other constraints
- All data within this dataset collection are available to any registered CEDA user.
- Use constraints
- otherRestrictions
- Other constraints
- Usage limitations for the data within this collection is set at the individual dataset level. Please refer to the licence details of each underlying dataset.
- Spatial representation type
- grid
- Topic category
-
- Climatology, meteorology, atmosphere
))
- Begin date
- 2008-04-13T23:00:00
- End date
- 2013-07-13T22:59:59
- Code
- WGS 84
Distribution Information
- Data format
-
-
Contact data centre for format details.
()
-
Contact data centre for format details.
()
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
QUEST report
No further details.
- Resource Locator
-
FireMAFS: Fire Modelling and Forecasting System
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
QUEST report
No further details.
- Resource Locator
-
FireMAFS: Fire Modelling and Forecasting System
No further details.
- Quality Scope
- series
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- Please see data lineage statements for each dataset within this collection for data lineage details.
Metadata
- File identifier
- 67afe8bb533652ee15c37f5a6474ebbc XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- series
- Hierarchy level name
- series
- Metadata Date
- 2023-11-21T01:00:29
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3