- Title
- WF-GLOBAL-CSIRO-30
- Abstract
The approach to classify wildfire hazard levels used is based solely on fire weather index climatology. Fire weather indices are used in many countries to assess both the onset of conditions that will allow fires to spread, as well as the likelihood of fire at any point in the landscape. The method presented uses statistical modelling (extreme value analysis) of a 30 year fire weather climatology to assess the predicted fire weather intensity for specific return period intervals. These intensities are classified based on thresholds using conventions to provide hazard classes that correspond to conditions that can support problematic fire spread in the landscape if an ignition and sufficient fuel were to be present.
- License
- Public Domain (PD)
-
+ Works in the public domain may be used freely without the permission of the former copyright owner.
+ For more info see http://www.copyright.gov/help/faq/faq-definitions.html. - Publication Date
- March 4, 2022, 9:23 a.m.
- Type
- Raster Data
- Keywords
- Category
- Geoscientific Information
- information pertaining to earth sciences. Examples: geophysical features and processes, geology, minerals, sciences dealing with the composition, structure and origin of the earth s rocks, risks of earthquakes, volcanic activity, landslides, gravity information, soils, permafrost, hydrogeology, erosion
- Regions
- Global
- Approved
- Yes
- Published
- Yes
- Featured
- No
- DOI
- None
- Attribution
- None
- Name
- GFDRR_labs
- labs.gfdrr@gmail.com
- Position
- Organization
- GFDRR
- Location
- labs.gfdrr@gmail.com
- Voice
- Fax
- Spatial Extent
- ---
- Projection System
- EPSG:4326
- Extension x0
- -180.3125
- Extension x1
- 179.6875
- Extension y0
- -58.25
- Extension y1
- 75.25
- Maintenance Frequency
- Frequency Of Maintenance For The Data Is Not Known
- Restrictions
- withheld from general circulation or disclosure
- Language
- English
- Supplemental Information
No information provided
- Spatial Representation Type
- grid data is used to represent geographic data
- Name
- Mattia Amadio (mattiaamadio)
- labs.gfdrr@gmail.com
- Position
- PhD, geospatial expert
- Organization
- GFDRR
- Location
- labs.gfdrr@gmail.com Venezia ITA
- Voice
- Fax
- Link Online
- /layers/csiro_wf_max_fwi_rp30:hazard:csiro_wf_max_fwi_rp30
- Metadata Page
- /layers/csiro_wf_max_fwi_rp30:hazard:csiro_wf_max_fwi_rp30/metadata_detail
- JPEG
- WF-GLOBAL-CSIRO-30.jpg
- WF-GLOBAL-CSIRO-30.pdf
- PNG
- WF-GLOBAL-CSIRO-30.png
- GeoTIFF
- WF-GLOBAL-CSIRO-30.geotiff
- Legend
- WF-GLOBAL-CSIRO-30.png
- Original Dataset
- WF-GLOBAL-CSIRO-30.zip
- Thumbnail
- WF-GLOBAL-CSIRO-30.png
- OGC WMS: hazard Service
- Geoservice OGC:WMS
- OGC WCS: hazard Service
- Geoservice OGC:WCS
- Name
- Mattia Amadio (mattiaamadio)
- labs.gfdrr@gmail.com
- Position
- PhD, geospatial expert
- Organization
- GFDRR
- Location
- labs.gfdrr@gmail.com Venezia ITA
- Voice
- Fax