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ERA5-based global meteorological wildfire danger maps
by
San-Miguel-Ayanz, Jesus
, Vitolo, Claudia
, Barnard, Christopher
, Coughlan, Ruth
, Libertá, Giorgio
, Di Giuseppe, Francesca
, Krzeminski, Blazej
in
704/172/4081
/ 704/4111
/ Climate change
/ Climate prediction
/ Computer applications
/ Data Descriptor
/ Datasets
/ Evaporation
/ Forest fires
/ Forestry
/ Humanities and Social Sciences
/ multidisciplinary
/ Science
/ Science (multidisciplinary)
/ Soil moisture
/ Spatial discrimination
/ Terrestrial ecosystems
/ Weather
/ Wildfires
2020
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ERA5-based global meteorological wildfire danger maps
by
San-Miguel-Ayanz, Jesus
, Vitolo, Claudia
, Barnard, Christopher
, Coughlan, Ruth
, Libertá, Giorgio
, Di Giuseppe, Francesca
, Krzeminski, Blazej
in
704/172/4081
/ 704/4111
/ Climate change
/ Climate prediction
/ Computer applications
/ Data Descriptor
/ Datasets
/ Evaporation
/ Forest fires
/ Forestry
/ Humanities and Social Sciences
/ multidisciplinary
/ Science
/ Science (multidisciplinary)
/ Soil moisture
/ Spatial discrimination
/ Terrestrial ecosystems
/ Weather
/ Wildfires
2020
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Do you wish to request the book?
ERA5-based global meteorological wildfire danger maps
by
San-Miguel-Ayanz, Jesus
, Vitolo, Claudia
, Barnard, Christopher
, Coughlan, Ruth
, Libertá, Giorgio
, Di Giuseppe, Francesca
, Krzeminski, Blazej
in
704/172/4081
/ 704/4111
/ Climate change
/ Climate prediction
/ Computer applications
/ Data Descriptor
/ Datasets
/ Evaporation
/ Forest fires
/ Forestry
/ Humanities and Social Sciences
/ multidisciplinary
/ Science
/ Science (multidisciplinary)
/ Soil moisture
/ Spatial discrimination
/ Terrestrial ecosystems
/ Weather
/ Wildfires
2020
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Journal Article
ERA5-based global meteorological wildfire danger maps
2020
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Overview
Forest fires are an integral part of the natural Earth system dynamics, however they are becoming more devastating and less predictable as anthropogenic climate change exacerbates their impacts. In order to advance fire science, fire danger reanalysis products can be used as proxy for fire weather observations with the advantage of being homogeneously distributed both in space and time. This manuscript describes a reanalysis dataset of fire danger indices based on the Canadian Fire Weather Index system and the ECMWF ERA5 reanalysis dataset, which supersedes the previous dataset based on ERA-Interim. The new fire danger reanalysis dataset provides a number of benefits compared to the one based on ERA-Interim: it relies on better estimates of precipitation, evaporation and soil moisture, it is available in a deterministic form as well as a probabilistic ensemble and it is characterised by a considerably higher spatial resolution. It is a valuable resource for forestry agencies and scientists in the field of wildfire danger modeling and beyond. The global dataset is produced by ECMWF, as the computational centre of the European Forest Fire information System (EFFIS) of the Copernicus Emergency Management Service, and it is made available free of charge through the Climate Data Store.
Measurement(s)
wetness of soil • wildfire • effort required for fire suppression • fire intensity
Technology Type(s)
computational modeling technique
Sample Characteristic - Environment
forest ecosystem
Sample Characteristic - Location
Earth (planet)
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12497732
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