SeasFire Cube: A Global Dataset for Seasonal Fire Modeling in the Earth System
Creators
- 1. Max Planck Institut of Biochemistry
- 2. National Observatory of Athens
- 3. Harokopio University of Athens
Description
The SeasFire Cube is a scientific datacube for seasonal fire forecasting around the globe.
It has been created in the context of the SeasFire project, which deals with "Earth System Deep Learning for Seasonal Fire Forecasting" and is funded by the European Space Agency (ESA) in the context of ESA Future EO-1 Science for Society Call.
It contains almost 20 years of data (2001-2021) in an 8-days time resolution and 0.25 degrees grid resolution. It has a diverse range of seasonal fire drivers. It expands from atmospheric and climatological ones to vegetation variables, socioeconomic and the target variables related to wildfires such as burned areas, fire radiative power, and wildfire-related CO2 emissions.
Feature |
Value |
Spatial Coverage |
Global |
Temporal Coverage |
2001 to 2021 |
Spatial Resolution |
0.25 deg x 0.25 deg |
Temporal Resolution |
8 days |
Potential Input Variables |
30 |
Potential Target Variables |
8 |
Tutorial Link |
Variable Name |
Websites |
MODIS Satellite Variables (Land surface temperature, Normalized vegetation index, Leaf Area Index) |
|
Climate Indices: North Atlantic Oscillation, Niño 3.4 region, Western Pacific Index, Pacific North American Index, Bivariate ENSO Timeseries, East Pacific/North Pacific Oscillation, East Pacific/North Pacific Oscillation, Pacific Decadal Oscillation, Eastern Asia/Western Russia Index, Southern Oscillation Index, Global Mean Land/Ocean Temperature |
|
Total precipitation, vapor pressure deficit, Wind Speed, mean sea level pressure, minimum 2 metre temperature, maximum 2 metre temperature, mean 2 metre temperature, Volumetric soil water layer 1, sea surface temperature, Surface solar radiation downwards, Surface net solar radiation, Skin temperature, relative_humidity |
|
Fire Indices: Max, Mean FWI, Max Drought Code |
|
Population Density |
|
Burned Areas (GFED) |
|
Burned Areas (GWIS) |
|
Burned Areas (Fire CCI) |
|
Carbon emissions (CO2) from Wildfires, Fire Radiative Power |
|
Table 2: Included variables and respective web access points (valid in July 2022).
Apart from seasonal fire forecasting, it can also be used for global environmental modeling from 2001 to 2021 and tasks such as sea surface temperature, and carbon emissions modeling.
Notes
Files
SeasFireCube8daily.zip
Files
(35.2 GB)
Name | Size | Download all |
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md5:fd67003fee10a4eb478dbbe8d6a708fe
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35.2 GB | Preview Download |