DOI: 10.5281/zenodo.13834057
title: SeasFire Cube: A Global Dataset for Seasonal Fire Modeling in the Earth System

description: The SeasFire Cube is a scientific datacube for seasonal fire forecasting around the globe. Apart from seasonal fire forecasting, which is the aim of the SeasFire project, the datacube can be used for several other tasks. For example, it can be used to model teleconnections and memory effects in the earth system. Additionally, it can be used to model emissions from wildfires and the evolution of wildfire regimes.

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 21 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.


	Datacube properties
	
		

			
			
Feature
			
			
			
Value
			
		
	
	
		
			
			
Spatial Coverage
			
			
			
Global
			
		
		
			
			
Temporal Coverage
			
			
			
2001 to 2021
			
		
		
			
			
Spatial Resolution
			
			
			
0.25 deg x 0.25 deg
			
		
		
			
			
Temporal Resolution
			
			
			
8 days
			
		
		
			
			
Number of Variables
			
			
			
54
			
		
		
			
			
Tutorial Link 
			
			
			
https://github.com/SeasFire/seasfire-datacube
			
		
	




	
	

	
	
	
		
			Full name
			DataArray name
			Unit
			Contact *
		
	
	
		
			Dataset: ERA5 Meteo Reanalysis Data
			 
			 
			 
		
		
			Mean sea level pressure
			mslp
			Pa
			NOA
		
		
			Total precipitation
			tp
			m
			MPI
		
		
			Relative humidity
			rel_hum
			%
			MPI
		
		
			Vapor Pressure Deficit
			vpd
			hPa
			MPI
		
		
			Sea Surface Temperature
			sst
			K
			MPI
		
		
			Skin temperature
			skt
			K
			MPI
		
		
			Wind speed at 10 meters
			ws10
			m*s-2
			MPI
		
		
			Temperature at 2 meters - Mean
			t2m_mean
			K
			MPI
		
		
			Temperature at 2 meters - Min
			t2m_min
			K
			MPI
		
		
			Temperature at 2 meters - Max
			t2m_max
			K
			MPI
		
		
			Surface net solar radiation
			ssr
			MJ m-2
			MPI
		
		
			Surface solar radiation downwards
			ssrd
			MJ m-2
			MPI
		
		
			Volumetric soil water level 1
			swvl1
			m3/m3
			MPI
		
		
			
			

				
					
						Volumetric soil water level 2
					
				
			
			
			swvl2
			m3/m3
			MPI
		
		
			Volumetric soil water level 3
			swvl3
			m3/m3
			MPI
		
		
			Volumetric soil water level 4
			swvl4
			m3/m3
			MPI
		
		
			Land-Sea mask
			lsm
			0-1
			NOA
		
		
			Dataset: Copernicus
			
CEMS
			
			 
			 
			 
		
		
			Drought Code Maximum
			drought_code_max
			unitless
			NOA
		
		
			Drought Code Average
			drought_code_mean
			unitless
			NOA
		
		
			Fire Weather Index Maximum
			fwi_max
			unitless
			NOA
		
		
			Fire Weather Index Average
			fwi_mean
			unitless
			NOA
		
		
			Dataset: CAMS: Global Fire Assimilation System (GFAS)
			 
			 
			 
		
		
			Carbon dioxide emissions from wildfires
			cams_co2fire
			kg/m²
			NOA
		
		
			Fire radiative power
			cams_frpfire
			W/m²
			NOA
		
		
			Dataset: FireCCI - European Space Agency’s Climate Change Initiative
			 
			 
			 
		
		
			Burned Areas from Fire Climate Change Initiative (FCCI)
			fcci_ba
			ha
			NOA
		
		
			Valid mask of FCCI burned areas
			fcci_ba_valid_mask
			0-1
			NOA
		
		
			
			Fraction of burnable area
			fcci_fraction_of_burnable_area
			%
			NOA
		
		
			Number of patches
			fcci_number_of_patches
			N
			NOA
		
		
			Fraction of observed area
			fcci_fraction_of_observed_area
			%
			NOA
		
		
			Dataset: Nasa MODIS MOD11C1, MOD13C1, MCD15A2
			 
			 
			 
		
		
			Land Surface temperature at day
			lst_day
			K
			MPI
		
		
			Leaf Area Index
			lai
			m²/m²
			MPI
		
		
			Normalized Difference Vegetation Index
			ndvi
			unitless
			MPI
		
		
			Dataset: Nasa SEDAC Gridded Population of the World (GPW), v4
			 
			 
			 
		
		
			Population density
			pop_dens
			persons per square kilometers
			NOA
		
		
			Dataset: Global Fire Emissions Database (GFED)
			 
			 
			 
		
		
			Burned Areas from GFED (large fires only)
			gfed_ba
			hectares (ha)
			MPI
		
		
			Valid mask of GFED burned areas
			gfed_ba_valid_mask
			0-1
			NOA
		
		
			GFED basis regions
			gfed_region
			N
			NOA
		
		
			Dataset: Global Wildfire Information System  (GWIS)
			 
			 
			 
		
		
			Burned Areas from GWIS
			gwis_ba
			ha
			NOA
		
		
			Valid mask of GWIS burned areas
			gwis_ba_valid_mask
			0-1
			NOA
		
		
			Dataset: NOAA Climate Indices
			 
			 
			 
		
		
			Arctic Oscillation Index
			oci_ao
			unitless
			NOA
		
		
			Western Pacific Index
			oci_wp
			unitless
			NOA
		
		
			Pacific North American Index
			oci_pna
			unitless
			NOA
		
		
			North Atlantic Oscillation
			oci_nao
			unitless
			NOA
		
		
			Southern Oscillation Index
			oci_soi
			unitless
			NOA
		
		
			Global Mean Land/Ocean Temperature
			oci_gmsst
			unitless
			NOA
		
		
			Pacific Decadal Oscillation
			oci_pdo
			unitless
			NOA
		
		
			Eastern Asia/Western Russia
			oci_ea
			unitless
			NOA
		
		
			East Pacific/North Pacific Oscillation
			oci_epo
			unitless
			NOA
		
		
			Nino 3.4 Anomaly
			oci_nino_34_anom
			unitless
			NOA
		
		
			Bivariate ENSO Timeseries
			oci_censo
			unitless
			NOA
		
		
			Dataset: ESA CCI
			 
			 
			 
		
		
			Land Cover Class 0 - No data
			lccs_class_0
			%
			NOA
		
		
			Land Cover Class 1 - Agriculture
			lccs_class_1
			%
			NOA
		
		
			Land Cover Class 2 - Forest
			lccs_class_2
			%
			NOA
		
		
			Land Cover Class 3 - Grassland
			lccs_class_3
			%
			NOA
		
		
			Land Cover Class 4 - Wetlands
			lccs_class_4
			%
			NOA
		
		
			Land Cover Class 5 - Settlement
			lccs_class_5
			%
			NOA
		
		
			Land Cover Class 6 - Shrubland
			lccs_class_6
			%
			NOA
		
		
			Land Cover Class 7 - Sparse vegetation, bare areas, permanent snow and ice
			lccs_class_7
			%
			NOA
		
		
			Land Cover Class 8 - Water Bodies
			lccs_class_8
			%
			NOA
		
		
			Dataset: Biomes
			 
			 
			 
		
		
			Dataset: Calculated
			 
			 
			 
		
		
			Grid Area in square meters
			area
			m²
			NOA
		
	



*The datacube specifications (temporal, spatial resolution, chunk size) have been set up by the Max Planck Institut (MPI) team. For the variables that the contact is MPI, Lazaro Alonso (lalonso <at> bgc-jena.mpg.de) has led the efforts to collect and process them. For the variables that the contact is NOA, Ilektra Karasante (ile.karasante <at> noa.gr) has led the efforts to collect and process them.
description: The creation of this version of the cube has been funded by the European Space Agency (ESA), in the context of ESA Future EO-1 Science for Society Call, and by the Horizon Europe MeDiTwin project (Grant Agreement No. 101159723).