Published 2025 | Version 2024.1
Dataset Open

GlobalRx: A global assemblage of regional prescribed burn records

Creators

  • 1. ROR icon University of East Anglia
  • 2. ROR icon Tyndall Centre
  • 3. University of California Merced
  • 4. ROR icon University of California, Merced
  • 5. ROR icon University of Oxford
  • 6. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)
  • 7. ROR icon University of Melbourne
  • 8. Swansea University
  • 9. University of Trás-os-Montes and Alto Douro
  • 10. ROR icon Universidad de Oviedo
  • 11. ROR icon South African National Parks
  • 12. ROR icon University of Turin
  • 13. ROR icon Universitat de Lleida
  • 14. Bombers Generalitat Catalunya
  • 15. EDMO icon Max Planck Institute for Chemistry (Mainz)
  • 16. ROR icon University of Évora
  • 17. Sukachev Institute of Forest of the Siberian Branch of the Russian Academy of Sciences
  • 18. ROR icon Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
  • 19. Upper ASEAN Wildland Fire Special Research Unit
  • 20. ROR icon Tall Timbers Research Station and Land Conservancy
  • 21. Hokkaido University
  • 22. Länsstyrelsen i Västmanlands län
  • 23. ROR icon University of Birmingham
  • 24. ROR icon Forestry Commission England
  • 25. United States Geological Survey
  • 26. ROR icon Pau Costa Foundation
  • 27. European University Institute
  • 28. Government of the Principality of Asturias
  • 29. ROR icon Brazilian Institute of Environment and Renewable Natural Resources
  • 30. Government of Andalucia
  • 31. ROR icon Deutsche Bundesstiftung Umwelt
  • 32. Welgevonden Game Reserve
  • 33. NILU
  • 34. SatFire Kaiser
  • 35. ROR icon Parks Canada
  • 36. National Forestry Commission of Mexico (CONAFOR)
  • 37. Zebris Geo-IT GmbH

Description

File Name File Type Description
ERA5_CEMS_Download_and_Resample_Notebooks.zip ZIP file containing Python Jupyter notebooks Code used to download and resample ERA5 and CEMS meteorological data from hourly into daily values
Geolocate_GlobalRx_Notebooks.zip ZIP file containing Python Jupyter notebooks Code used to determine values of meteorological and environmental variables at date and location of each burn record
GlobalRx-Figures-Stats.ipynb Jupyter notebook Code used to calculate and generate all statistics and figures in the paper

GlobalRx_CSV_v2024.1.csv

GlobalRx_XLSX_v2024.1.xlsx

GlobalRx_SHP_v2024.1.zip

 CSV, Excel, and ZIP file containing shape file and accompanying feature files GlobalRx dataset. Features of the dataset are described in more detail below.**

summary_table_country_biome_GlobalRx.xlsx

summary_table_country_fuelbed_GlobalRx.xlsx

summary_table_country_burned_area_hist_GlobalRx.xlsx

 Excel files Summary tables containing counts of the number of records for all biomes, fuelbed classifications, and burned area size ranges for each country

 

**Description of GlobalRx Dataset:

204,517 records of prescribed burns in 16 countries. In the information below, the name of the variable's column within the dataset is given in parentheses () in code font. For example, the column with the Drought Code data is titled DC.

For each record, the following general information (derived from the original burn records sources) is included, where available:

  • Latitude (Latitude)
  • Longitude (Longitude)
  • Year (Year)
  • Month (Month) 
  • Day (Day)
  • Time* (Time)
  • DOY (DOY)
  • Date (Date)
  • Country (Country)
  • State/Province (State/Province)
  • Agency/Organisation (Agency/Organisation)
  • Burn Objective* (Burn Objective)
  • Area Burned (Ha)* (Area Burned (Ha))
  • Data Repository (Data Repository)
  • Citation (Citation)

* Not available for every record

For each record, the following meteorological information (derived from the ERA5 single levels reanalysis product) is also included:

  • Daily total accumulated precipitation (PPT_tot)
  • Daily minimum and mean relative humidity (RH_min, RH_mean)*
  • Daily maximum 2-meter temperature (T_max,T_mean)
  • Daily maximum and mean 10-meter wind speed (Wind_max, Wind_mean)
  • Daily minimum boundary layer height (BLH_min)
  • C-Haines Index (CHI)*
  • Vapor pressure deficit (VPD)*

* Computed from other ERA5 meteorological variables.

For each record, the following fire weather indices and components (derived from ERA5 fire weather reanalysis product) are also included:

  • Canadian fire weather index (FWI)
  • Fine fuel moisture code (FFMC)
  • Drought moisture code (DMC)
  • Drought code (DC)
  • McArthur forest fire danger index (FFDI)
  • Keetch-Byram drought index (KBDI)
  • US burning index (USBI)

For each record, the following environmental information (derived from various sources, see paper for more information) is also included:

Files

ERA5_CEMS_Download_and_Resample_Notebooks.zip

Files (305.7 MB)

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md5:9e97795c4f5e54ebce4ba75802115f1c
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md5:84f4e3909a7ad6901e1f6d747e969bd1
14.2 kB Download

Additional details

Software

Programming language
Python