Global Fire Emissions Database, Version 4.1 (GFEDv4)

[luhui3377]

Follow the underlying template when creating a new dataset request for new datasets. This is then submitted for evaluation and inclusion into the community catalog.

Please edit the markdown text below as needed.

Dataset Name

Dataset description and any detailed citation and DOI and license information.

Data Set Overview
This dataset provides global estimates of burned area, monthly emissions and fractional contributions of different fire types, daily/3-hourly fields to scale the monthly emissions to higher temporal resolutions, and data for monthly biosphere fluxes. The data are at 0.25-degree latitude by 0.25-degree longitude spatial resolution and are available from July 1997 through 2016 depending on the individual dataset.

Also included with this dataset are data from small fires referred to as GFED4.1s data on the GFED website http://www.globalfiredata.org/index.html. GFED4 data are without small fires in HDF format; the GFED4.1s data (data which includes small fires) are provided in HDF5 format. The mapped burned area is without small fires and this is the GFED4 burned area described in Giglio et al. (2013). The emissions fields are based on this dataset but boosted with small fires, GFED4.1s. The emissions fields also contain a layer with the fraction of emissions resulting from this boost. Additional information may be obtained from the Global Fire Data website: http://www.globalfiredata.org/index.html.

Emissions data are available for carbon (C), dry matter (DM), carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), hydrogen (H2), nitrous oxide (N2O), nitrogen oxides (NOx), non-methane hydrocarbons (NMHC), organic carbon (OC), black carbon (BC), particulate matter less than 2.5 micron (PM2.5), total particulate matter (TPM), and sulfur dioxide (SO2) among others. These data are yearly totals by region, globally, and by fire source for each region.

Related datasets:

Veraverbeke, S., B.M. Rogers, and J.T. Randerson. 2015. CARVE: Alaskan Fire Emissions Database (AKFED), 2001-2013. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1282
Release and Update Notes:

A full revision history for the GFED data is provided in section 8 of this document.

This dataset revision (Global Fire Emissions Database, Version 4 (GFEDv4), R1) includes updates to all files that are available from the GFED community. In particular, it includes monthly burned areas without small files for 2016 and 2015-03 through 2015-12 and the daily burned areas without small fires for 2015 and 2000-2012, which were not part of the previous ORNL DAAC data distribution. Because of a small correction in respiration values, all files for emissions with small fires have been replaced for years 1997-2014 and the 2015 year has been added. Files for regional estimates for various trace gases and aerosol emissions, in text format, have been updated with a column for 2016.

Data Characteristics
Spatial Coverage

The study area covers the following 14 regions: Boreal, Temperate, and Central America, Northern and Southern Hemisphere South America, Europe, Middle East, Northern and Southern Hemisphere Africa, Boreal, Central, Southeast, and Equatorial Asia, Australia and New Zealand. The upper left corner of each file is centered at 179.875 W, 89.875 N and the lower right corner at 179.875 E, 89.875 S.

Spatial Resolution

The data are gridded at 0.25-degree latitude by 0.25-degree longitude.

Temporal Coverage

Annual data and emissions estimates are for the years 1997- 2016.

Monthly data for the period 1995-06 to 2016-12.

Daily/3-hourly data are available for 2000 - 2015. Daily data for year 2000 start on yearday 214 - 366. All other years have a complete record. Daily data include leap day resulting in 1 - 366 year days.

Temporal Resolution

Most data are monthly.

Study Area: (All latitude and longitude given in decimal degrees (datum: WGS84))

Data File Information

Data are available from 1995 through 2016 depending on the dataset. Each data file contains 1,440 columns and 720 rows and has a 0.25-degree latitude by 0.25-degree longitude spatial resolution.

Data Dictionary

Annual Files: These files are the GFED4.1s data and include the small fire boost. The files provide data for each month, for each year, 1997-2015. There are 19 annual files in hdf5 (.hdf5) format.

The data are grouped under (1) ancillary, (2) biosphere, (3) burned area, (4) emissions, (5) latitude, and (6) longitude.

The files are named GFED4.1s_YYYY.hdf5

where: YYYY= 1997 to 2015.

Groups and Variables:

(1) Ancillary: provides information on the names of the 14 regions and grid cell area for the data.

(2) Biosphere: provides monthly biosphere fluxes each month of the year. Units are in g C/m2/month.

Variables: (based on the CASA-GFED4s framework):

BB: biomass burning C emissions
NPP: Net Primary Production (NPP)
Rh: Heterotrophic respiration (Rh)
(3) Burned Area

Variables:

burned_fraction: The fraction of each grid cell that burned in that month according to the GFED4 burned area data; includes an experimental small fire estimate.
source: Source of GFED4.1s burned area estimate; includes an experimental small fire estimate. Data are from 500-m MODIS product MCD64A1 after 2001. Before 2001, ATSR and VIRS data were used.
(4) Emissions: data files are for each month of each individual year, and daily emissions for individual species and for individual species partitioned by specific sources (grassland and savanna, woodland, deforestation & degradation, forest, agricultural waste burning, and peat fires).

Variables:

C: Biomass burning C emissions. Units are provided in g C/m2/month.
daily fraction: The fraction of total emissions that were emitted in the different days of the month. These data are available for 2003-2015. Data are unitless ranging from 0 to 1
diurnal cycle: The partitioning of the daily emissions over eight three-hour windows (UTC). These data are available for 2003-2015 and based on GOES data. Data are unitless ranging from 0 to 1 and include:
UTC_XXX where XXX= 0-3h, 12-15h, 15-18h, 18-21h, 21-24h, 3-6h, 6-9h, and 9-12h.
DM: GFED4.1s biomass burning dry matter emissions. Units are provided in kg DM/m2/month.
partitioning: includes the contribution of fire sources to the total monthly burning carbon emissions (C_) and to monthly biomass burning dry matter emissions (DM_).
Data are grouped as C_fire source, as provided below, or DM_fire source, for the same fire sources. Data are unitless.
Fire sources include:
C_AGRI: Agricultural waste burning
C-BORF: Boreal forest fires
C_DEFO: Tropical forest fires
C_SAVA:Savanna, grassland, and shrubland fires
C_TEMF: Temperate forest fires

small fire fraction: Fraction of total monthly GFED4.1s biomass burning emissions originating from small fire burned area. Data are unitless.
(5) lat: Latitude of data in degrees N

(6) lon: Longitude of data in degrees E

Daily Files: These files are the GFED4.0 version, without small fires. The data are estimates of burned area (BA) in hectares (ha) and for burned area uncertainty (BurnedAreaUncertainty). There are 365 hourly files for 2001 - 2015; one for each day of the year. For year 2000, the year days range from 214 - 366.

The daily files are named GFED4.0_DQ_YYYYXXX_BA.hdf

where: DQ=daily; YYYY= 2000 - 2015;

XXX = 001-365 (for each day of the year, 1-365. Leap year includes yearday 366);

and BA = Burned area.

Example file name: GFED4.0_DQ_2013001_BA.hdf

Variables:

BurnedArea: units are in hectares (ha)
BurnedAreaUncertainty: units are in hectares (ha)
LandCoverDist: UMD land cover distribution of burned area; units are in percent. See the monthly files below for the landcover classes.
MeanBurnDateUncertainty: units are in days
PeatFraction: units are in percent.
source: source of burned area estimate; unitless
TreeCoverDist: fractional tree cover distribution of burned area; units are in percent.

Monthly Files: These files are the GFED4.0 version, without small fires. These files contain gridded, 0.25 degree x 0.25 degree, estimates for monthly burned area (BA) in hectares (ha) and for burned area uncertainty (BurnedAreaUncertainty). There are 259 monthly files in .hdf format for the period 1995-06 to 2016-12 (one file for each month).

The files are named GFED4.0_MQ_YYYYMM_BA.hdf

where: MQ = indicates a monthly file;

YYYY=1995 - 2016 (note: there are only seven files for 1995, June-December); and

BA = burned area.

Example file name: GFED4.0_MQ_199506_BA.hdf

Variables:

BurnedArea: monthly burned area. Units are in hectares.
BurnedAreaUncertainty: monthly burned area uncertainty. Units are in hectares.
FirePersistence: monthly fire persistence. Units are in days.
PeatFraction: units are in percent
source: source of burned area estimate: data are unitless
TreeCoverDist: fractional tree cover distribution of burned area: units are in percent
LandCoverDist: UMD land cover distribution of burned area: units are in percent.

Data Access
These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).

Global Fire Emissions Database, Version 4.1 (GFEDv4)

Contact for Data Center Access Information:

E-mail: uso@daac.ornl.gov
Telephone: +1 (865) 241-3952

Thumbnail or Snapshot (Optional)

Earth Engine Snippet if dataset already in GEE

var asset_name = ee.ImageCollection("path to your collection")

or

var asset_name = ee.Image("path to your image")

or

var asset_name = ee.FeatureCollection("path to your table/feature collection")

Sample Code: Add a sample code, maybe just adding your datasets in the code editor

Extra Info: Feel free to add any optional details

Download Tool/Code snippets, if any: If source is specialized or you have an associated tool

Required

License Information: Please include license information. If you don't have a license, please include any license document(s) with additional details and contact information for the original dataset creators

Curated by: Uploaders and curators name(s) include all you think helped.

Keywords: For example, Global Shoreline, Coastline, Oceans

Last updated: Last date the dataset was updated (if known)