Monthly
Seasonal (DJF)
Seasonal (MAM)
Seasonal (JJA)
Seasonal (SON)
Yearly (JUL-JUN)
Yearly (JAN-DEC)

Russian-Arctic (RAR)

Area Burned by All Fires

Includes fires detected by the MODIS burned area product with 500m resolution
(MCD64A1c6.1; Giglio et al., 2018)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

Area Burned by Forest Fires

Forests are any areas with tree cover over 30%, based on the MODIS vegetation continuous field product with 250m
(MCD12Q1c6.0; Giglio et al., 2018)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

Carbon Emissions from All Fires

Emissions from all fires based on the 500m GFED product driven by MCD64A1c6.1
(van Wees et al., 2023)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

Carbon Emissions from Forest Fires

Emissions from forest fires based on the 500m GFED product driven by MCD64A1c6.1
(van Wees et al., 2023)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

NOTES

Processing

Set the timescale using the radio buttons. Selecting an IPCC AR6 region will take you to a page showing the timeseries of all variables processed.


Regional aggregation

The raw data is at 0.25 degrees resolution. The IPCC AR6 land region mask is used to compute aggregated totals at the monthly, yearly (JAN-DEC), yearly (JUL-JUN), seasonal (DJF), seasonal (DJF), seasonal (MAM), and seasonal (SON) timescales. The IPCC AR6 land regions abbreviations have the following meaning:

  1. GIC      Greenland/Iceland
  2. NWN      N.W.North-America
  3. NEN      N.E.North-America
  4. WNA      W.North-America
  5. CNA      C.North-America
  6. ENA      E.North-America
  7. NCA      N.Central-America
  8. SCA      S.Central-America
  9. CAR      Caribbean
  10. NWS      N.W.South-America
  11. NSA      N.South-America
  12. NES      N.E.South-America
  13. SAM      South-American-Monsoon
  14. SWS      S.W.South-America
  15. SES      S.E.South-America
  16. SSA      S.South-America
  17. NEU      N.Europe
  18. WCE      West & Central-Europe
  19. EEU      E.Europe
  20. MED      Mediterranean
  21. SAH      Sahara
  22. WAF      Western-Africa
  23. CAF      Central-Africa
  24. NEAF     N.Eastern-Africa
  25. SEAF     S.Eastern-Africa
  26. WSAF     W.Southern-Africa
  27. ESAF     E.Southern-Africa
  28. MDG      Madagascar
  29. RAR      Russian-Arctic
  30. WSB      W.Siberia
  31. ESB      E.Siberia
  32. RFE      Russian-Far-East
  33. WCA      W.C.Asia
  34. ECA      E.C.Asia
  35. TIB      Tibetan-Plateau
  36. EAS      E.Asia
  37. ARP      Arabian-Peninsula
  38. SAS      S.Asia
  39. SEA      S.E.Asia
  40. NAU      N.Australia
  41. CAU      C.Australia
  42. EAU      E.Australia
  43. SAU      S.Australia
  44. NZ       New-Zealand
  45. EAN      E.Antarctica
  46. WAN      W.Antarctica

Variables


(1) Area Burned by All Fires

The total area burned by fires in the region in units of thousands of km².


(2) Area Burned by Forest Fires

The total burned area by forest fire in the region from gridcells having 30% tree cover in units of thousands of km².


(3) Carbon Emissions from All Fires

The total carbon emissions from all fires in the region in units of thousands of tonnes of C.


(4) Carbon Emissions from Forest Fires

The total carbon emissions from forest fires in the region from gridcells having 30% tree cover in units of thousands of tonnes of C.


Data export

The underlying data for each plot is in CSV format.


Statistics


The timeseries are fit with a robust OLS regression (Theil-Sen) and a regression t-test is performed to determine if the OLS slope is significant at the 95% confidence level (p < 0.05, alpha = 0.05). This is only shown when the alternative hypothesis is true. The uncertainty band for the 95% confidence interval on the slope and intercept is provided. For each timescale (with the exception of the monthly data), 5-yr means are shaded as a visual guide to help understand the variability and potential trend in the data.


Page created on 2023-11-28 by Michael Taylor (CRU/UEA) for the UEA PVC impact study project with Matt Jones and Tim Osborn.