State of Wildfires 2023-24: Regional Summaries of Burned Area, Fire Emissions, and Individual Fire Characteristics for National, Administrative and Biogeographical Regions
Creators
Description
This dataset supports the State of Wildfires 2023-24 report under review at Earth System Science Data (Jones et al., 2024; https://doi.org/10.5194/essd-16-3601-2024). The dataset provides annual data and final-year anomalies in burned area (BA), fire carbon (C) emissions, and fire properties (e.g. distributional statistics for fire count, size, rate of growth). Annual data relate to the global fire season defined as March-February (e.g., March 2023-February 2024), aligning with an annuall lull in the global fire calendar (see Jones et al., 2024). The complete methodology is described by Jones et al. (2024).
Citation
Work utilising our regional summaries should cite both Jones et al. (2024) AND the primary reference for the variable(s) of interest as follows:
- Giglio et al. (2018) for MODIS MCD64A1 BA.
- van der Werf et al. (2017) for GFED4.1s fire C emissions.
- Kaiser er al. (2012) for GFAS fire C emissions.
- van der Werf et al. (2017) AND Kaiser er al. (2012) for the average of GFED4.1s and GFAS fire C emissions.
- Andela et al. (2019) for the Global Fire Atlas.
Input Data
Burned Area (BA)
- BA data from NASA’s MODIS BA product (MCD64A1) are extended from Giglio et al. (2018) and are available at Giglio et al. (2021, https://lpdaac.usgs.gov/products/mcd64a1v061/).
- Period: 2002-February 2024
- Resolution: 500m
Fire Carbon (C) Emissions
- GFED4.1s fire C emissions data are extended from van der Werf and are available at https://globalfiredata.org/.
- Period: 2003-February 2024
- Resolution: 0.25 degree, daily
- GFAS fire C emissions data are extended from Kaiser et al. (2012) and are available at https://confluence.ecmwf.int/display/CKB/CAMS+global+biomass+burning+emissions+based+on+fire+radiative+power+%28GFAS%29%3A+data+documentation.
- Period: 2003-February 2024
- Resolution: 0.1 degree, daily
Global Fire Atlas (Individual Fire Atlas and Properties)
- Global Fire Atlas are extended from Andela et al. (2019) and are available at Andela and Jones (2024, https://doi.org/10.5281/zenodo.11400062, last access: 31 May 2024).
- Period: 2002-February 2024
- Driven by 500m MODIS BA data (collection 6.1)
Regional Analysis
We performed "cookie-cutting" (spatial and temporal masking) of the above input data sets to features in each of the following regional layers (e.g. per country in the "Countries" layer).
The statistics derived from cookie-cutting are listed below. Full details in Jones et al. (2024).
Layer |
Short Form |
Source |
Biomes |
NA |
Olson et al. (2001) |
Continents |
NA |
ArcGIS Hub (2024) |
Continental Biomes |
NA |
See above |
Countries |
NA |
EU Eurostat (2020) |
UC Davis Global Administrative Areas (GADM) Level 1 |
GADM-L1 |
UC Davis (2022) |
Intergovernmental Panel on Climate Change Sixth Assessment Report (AR6) Working Group I (WGI) Reference Regions |
IPCC AR6 WGI Regions |
IPCC (2021); SantanderMetGroup (2021) |
Global C Project Regional C Cycle Assessment and Processes (RECCAP2) Reference Regions |
RECCAP2 Regions |
Ciais et al. (2022) |
Global Fire Emissions Database (GFED) Basis Regions |
GFED4.1s Regions |
van der Werf et al. (2006) |
Regional Statistics and Anomalies
- Burned Area (BA)
- Calculated regional totals for each fire season.
- Relative and standardized anomalies from historical data (since 2002).
- Ranking amongst all recorded fire seasons.
- Onset, peak, and cessation based on monthly deviations from climatological means.
- Carbon Emissions
- Calculated regional totals for each fire season.
- Relative and standardized anomalies from historical data (since 2003).
- Ranking amongst all recorded fire seasons.
- Onset, peak, and cessation based on monthly deviations from climatological means.
- Statistics available for GFAS, GFED, and their mean.
- Individual Fire Properties
- Based on ignition point vectors from the Global Fire Atlas.
- Calculated regional count.
- Calculated regional maxima and 95th percentiles for each fire season.
- Relative and standardized anomalies from historical data (since 2002).
- Ranked anomalies among all recorded fire seasons.
Files
State_of_Wildfires_2023-24_Burned_Area_annual_data_with_anomalies.csv
Additional details
Related works
- Is supplement to
- Journal article: 10.5194/essd-16-3601-2024 (DOI)
- Requires
- Dataset: 10.5067/MODIS/MCD64A1.061 (DOI)
- Dataset: 10.5281/zenodo.11400062 (DOI)
- Dataset: https://confluence.ecmwf.int/display/CKB/CAMS+global+biomass+burning+emissions+based+on+fire+radiative+power+%28GFAS%29%3A+data+documentation (URL)
- Dataset: 10.5194/essd-9-697-2017 (DOI)
Funding
References
- Jones, M. W., Kelley, D. I., Burton, C. A., Di Giuseppe, F., Barbosa, M. L. F., Brambleby, E., Hartley, A. J., Lombardi, A., Mataveli, G., McNorton, J. R., Spuler, F. R., Wessel, J. B., Abatzoglou, J. T., Anderson, L. O., Andela, N., Archibald, S., Armenteras, D., Burke, E., Carmenta, R., Chuvieco, E., Clarke, H., Doerr, S.H., Fernandes, P. M., Giglio, L., Hamilton, D. S., Hantson, S., Harris, S., Jain, P., Kolden, C. A., Kurtvitz, T., Lampe, S., Meier, S., New, S., Parrington, M., Perron, M. M. G., Qu, Y., Ribeiro, N., Saharajo, B. H., San-Miguel-Ayanz, J., Shuman, J.K., Tanpipat, V., van der Werf, G. R., Veraverbeke, S., Xanthopoulos, G. (2024) State of Wildfires 2023-24, Earth System Science Data, https://doi.org/10.5194/essd-16-3601-2024, 2024.
- Giglio, L., Boschetti, L., Roy, D. P., Humber, M. L., and Justice, C. O.: The Collection 6 MODIS burned area mapping algorithm and product, Remote Sensing of Environment, 217, 72–85, https://doi.org/10.1016/j.rse.2018.08.005, 2018.
- Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der Werf, G. R.: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, 9, 527–554, https://doi.org/10.5194/bg-9-527-2012, 2012.
- van der Werf, G. R., Randerson, J. T., Giglio, L., van Leeuwen, T. T., Chen, Y., Rogers, B. M., Mu, M., van Marle, M. J. E., Morton, D. C., Collatz, G. J., Yokelson, R. J., and Kasibhatla, P. S.: Global fire emissions estimates during 1997–2016, Earth Syst. Sci. Data, 9, 697–720, https://doi.org/10.5194/essd-9-697-2017, 2017.
- Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., and Kassem, K. R.: Terrestrial Ecoregions of the World: A New Map of Life on Earth, BioScience, 51, 933, https://doi.org/10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2, 2001.
- ArcGIS Hub (2024) World Continents, available at: https://hub.arcgis.com/maps/CESJ::world-continents, last access: https://hub.arcgis.com/maps/CESJ::world-continents, last access: 29 May 2024.
- EU Eurostat (2020) Countries - GISCO - Eurostat, available at: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries, last access: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries, last access: 1 August 2021.
- UC Davis (2022) Global Administrative Regions Data, available at: https://gadm.org/download_world.html, last access: https://gadm.org/download_world.html, last access: 29 May 2024.
- IPCC (2021) IPCC WGI Sixth Assessment Report Interactive Atlas, available at: https://interactive-atlas.ipcc.ch/atlas, last access: https://interactive-atlas.ipcc.ch/atlas, last access: 29 May 2024.
- SantanderMetGroup (2021) ATLAS/reference-regions at main · SantanderMetGroup/ATLAS, available at: https://github.com/SantanderMetGroup/ATLAS/tree/main/reference-regions, last access: https://github.com/SantanderMetGroup/ATLAS/tree/main/reference-regions, last access: 29 May 2024.
- Ciais, P., Bastos, A., Chevallier, F., Lauerwald, R., Poulter, B., Canadell, J. G., Hugelius, G., Jackson, R. B., Jain, A., Jones, M., Kondo, M., Luijkx, I. T., Patra, P. K., Peters, W., Pongratz, J., Petrescu, A. M. R., Piao, S., Qiu, C., Von Randow, C., Regnier, P., Saunois, M., Scholes, R., Shvidenko, A., Tian, H., Yang, H., Wang, X., and Zheng, B.: Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2), Geoscientific Model Development, 15, 1289–1316, https://doi.org/10.5194/gmd-15-1289-2022, 2022.
- van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., and Arellano, A. F.: Interannual variability in global biomass burning emissions from 1997 to 2004, Atmos. Chem. Phys., 6, 3423–3441, https://doi.org/10.5194/acp-6-3423-2006, 2006.