86 Global_Fire_Emissions_Database

	Project metadata
Project Title	Global_Fire_Emissions_Database
Owners	Louis Giglio, James Randerson, Guido van de Werf, Niels Andela, National Aeronautics and Space Administration, Gordon and Betty Moore Foundation, Dutch Research Council
Project Abstract	Freely available from http://www.globalfiredata.org/index.html. Fires are an important source of atmospheric trace gases and aerosols and they are the most important disturbance agent on a global scale. In addition, deforestation and tropical peatland fires and areas that see an increase in the frequency of fires add to the build-up of atmospheric CO2. We have combined satellite information on fire activity and vegetation productivity to estimate gridded monthly burned area and fire emissions, as well as scalars that can be used to calculate higher temporal resolution emissions. Most of the resulting datasets are downloadable from this website for use in large-scale atmospheric and biogeochemical studies. The core datasets are: Burned area from Giglio et al. (2013) Burned area from "” fires based on active fire detections outside the burned area maps detailed in Randerson et al. (2012) and updates in van der Werf et al. (2017)

Project metadata

Project Title

Global_Fire_Emissions_Database

Owners

Louis Giglio, James Randerson, Guido van de Werf, Niels Andela, National Aeronautics and Space Administration, Gordon and Betty Moore Foundation, Dutch Research Council

Project Abstract

Freely available from http://www.globalfiredata.org/index.html.

Fires are an important source of atmospheric trace gases and aerosols and they are the most important disturbance agent on a global scale. In addition, deforestation and tropical peatland fires and areas that see an increase in the frequency of fires add to the build-up of atmospheric CO2.

We have combined satellite information on fire activity and vegetation productivity to estimate gridded monthly burned area and fire emissions, as well as scalars that can be used to calculate higher temporal resolution emissions. Most of the resulting datasets are downloadable from this website for use in large-scale atmospheric and biogeochemical studies. The core datasets are:

Burned area from Giglio et al. (2013)

Burned area from "” fires based on active fire detections outside the burned area maps detailed in Randerson et al. (2012) and updates in van der Werf et al. (2017)

86.1 Global_Fire_Atlas_NSW_2003_2020

Accessibility	Provision Status	Licence
CARDAT	Published	other

	Metadata fields
Short Name	Global_Fire_Atlas_NSW_2003_2020
Title	Global_Fire_Atlas_NSW_2003_2020
Creators	Niels Andela
Contact Email	car.data@sydney.edu.au
Abstract	The Global Fire Atlas of individual fire size, duration, speed and direction Andela et al. (2019) The Global Fire Atlas is a new freely available global dataset that tracks the daily dynamics of individual fires to determine the timing and location of ignitions, fire size and duration, and daily expansion, fire line length, speed, and direction of spread. Data are available in easily accessible GIS-layers and can also be explored online here and a detailed description of the underlying methodology is provided by Andela et al. (2019). The data provide unique insights in the environmental conditions that give rise to the world’s most extreme wildfires. The world’s largest wildfires were found in sparsely populated arid and semiarid grasslands and shrublands of interior Australia, Africa, and Central Asia. Strikingly, fires of these proportions were nearly absent in similar ecosystems of North and South America, possibly due to higher landscape fragmentation and different management practices, including active fire suppression. While the world’s largest fires occurred in more arid ecosystems, the longest fires burned for over 2 months in seasonal regions of the humid tropics and high-latitude forests. In these sparsely populated high fuel-load systems fires can continuously burn if weather conditions are favourable. Abnormal weather conditions often synchronized the occurrence of multiple extreme wildfires across larger regions. Global patterns of fire velocity were reversely related to fuel loads, and the highest fire velocities typically occurred in areas of low fuel loads. These data have been downloaded from http://globalfiredata.org/pages/data/ [accessed 2020-11-17] and subset to NSW. More information available here: http://www.globalfiredata.org/fireatlas.html
Study Extent	NSW
Associated Parties
Repository Path	Environment_General/Global_Fire_Emissions_Database/Global_Fire_Atlas_NSW_2003_2020
Repository Link	https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Global_Fire_Emissions_Database/Global_Fire_Atlas_NSW_2003_2020
External Link
Recommended Citation	Andela, N. (2020): Global Fire Atlas, subset to NSW Australia 2003-2020. GFED. (Dataset). https://www.globalfiredata.org/. Downloaded from CARDAT https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Global_Fire_Emissions_Database/Global_Fire_Atlas_NSW_2003_2020