FireCube: A Daily Datacube for the Modeling and Analysis of Wildfires in Greece

dataset_greece.nc This dataset is meant to be used to develop models for next-day fire hazard forecasting in Greece. It contains the following variables for the years 2009 to 2021 at a daily 1km x 1km grid.   Variable Units Long Name Description avg_d2m K Avg 2 metre dewpoint temperature Daily Average 2 metre dewpoint temperature ERA5-Land avg_rh % Avg Relative humidity Daily Average Relative humidity calculated from t2m and d2m avg_sp Pa Avg Surface pressure Daily Average Surface pressure ERA5-Land avg_t2m K Avg 2 metre temperature Daily Average 2 metre temperature ERA5-Land avg_tp m Avg total precipitation Daily Average Total precipitation ERA5-Land avg_u10 m/s Avg 10 metre U wind component Daily Average 10 metre U wind component ERA5-Land avg_v10 m/s Avg 10 metre V wind component Daily Average 10 metre V wind component ERA5-Land burned_areas unitless Rasterized burned polygons EFFIS (https://effis.jrc.ec.europa.eu/) burned areas burned as raster (value 1). Starting date retrieved with intersection with MODIS active fires et kg/m^2/8day 8-day Evapotranspiration Total Evapotranspiration - MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500 m SIN Grid (MOD16A2) evi unitless 16-day EVI Enhanced vegetation index - MODIS/Terra Vegetation Indices 16-Day L3 Global 1 km SIN Grid (MOD13A2) fapar % Fraction of Absorbed Photosynthetically Active Radiation FPAR - MOD15A2H MODIS/Terra Gridded 500M (8-day composite) fwi unitless Fire Weather Index Fire Weather Index 0.25 deg - https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-fire-historical?tab=overview ignition_points unitless Rasterized ignition points Ignition points burned as raster (value 1) on the map calculated from intersection of MODIS active fires and EFFIS (https://effis.jrc.ec.europa.eu/) burned areas lai unitless Leaf Area Index Leaf Area Index (LAI) - MOD15A2H MODIS/Terra Gridded 500M Leaf Area Index LAI (8-day composite) lst_day K Day Land Surface Temperature Day Land Surface Temperature (LST) - MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid (MOD11A1) lst_night K Night Land Surface Temperature Night Land Surface Temperature (LST) - MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid (MOD11A1) max_d2m K Max 2 metre dewpoint temperature Daily Maximum 2 metre dewpoint temperature ERA5-Land max_rh % Max Relative humidity Daily Maximum Relative humidity calculated from t2m and d2m max_sp Pa Max Surface pressure Daily Maximum Surface pressure ERA5-Land max_t2m K Max 2 metre temperature Daily Maximum 2 metre temperature ERA5-Land max_tp m Max Total precipitation Daily Maximum Total precipitation ERA5-Land max_u10 m/s Max 10 metre U wind component Daily Maximum 10 metre U wind component ERA5-Land max_v10 m/s Max 10 metre V wind component Daily Maximum  10 metre V wind component ERA5-Land max_wind_direction degrees Wind direction of Max Wind Daily Maximum wind speed direction calculated from the U, V components max_wind_speed m/s Max wind speed norm Daily Maximum wind speed calculated from the U, V components max_wind_u10 m/s 10 metre U wind of Max Wind Daily 10 metre U wind component of Maximum Wind max_wind_v10 m/s 10 metre V wind of Max Wind Daily 10 metre V wind component of Maximum Wind min_d2m K Min 2 metre dewpoint temperature Daily Minimum 2 metre dewpoint temperature ERA5-Land min_rh % Min Relative humidity Daily Minimum Relative humidity calculated from t2m and d2m min_sp Pa Min Surface Pressure Daily Minimum Surface pressure ERA5-Land min_t2m K Min 2 metre temperature Daily Minimum 2 metre temperature ERA5-Land min_tp m Min Total precipitation Daily Minimum Total precipitation ERA5-Land min_u10 m/s Min 10 metre U wind component Daily Minimum 10 metre U wind component ERA5-Land min_v10 m/s Min 10 metre V wind component Daily Minimum 10 metre V wind component ERA5-Land ndvi unitless 16-day NDVI Normalized Difference Vegetation Index - MODIS/Terra Vegetation Indices 16-Day L3 Global 1 km SIN Grid number_of_fires unitless Daily number of fires Daily number of fires smian unitless Soil moisture index anomaly Soil Moisture Index Anomaly 10day, 5km Europe - EDO https://edo.jrc.ec.europa.eu/gdo/php/index.php?id=2112 sminx unitless Soil moisture index Soil Moisture Index 10day, 5km Europe - EDO https://edo.jrc.ec.europa.eu/gdo/php/index.php?id=2112 ASPECT degrees Aspect Aspect calculated from Digital Elevation Model EU-DEM CLC_2006 unitless Mode of Corine Land Cover 2006 Mode of Corine Land Cover 2006 CLC_2006_0 /100 % Fraction of lc class 0 (artificial_surfaces) Fraction of class 0 (artificial surfaces), Corine Class Codes [1, 3, 4, 5, 6, 7, 8, 9 , 10, 11], for every grid cell, based on Corine Land Cover 2006 CLC_2006_1 /100 % Fraction of lc class 1 (discontinuous_urban) Fraction of class 1 (discontinuous_urban), Corine Class Codes [2], for every grid cell, based on Corine Land Cover 2006 CLC_2006_2 /100 % Fraction of lc class 2 (arable_land) Fraction of class 2 (arable_land), Corine Class Codes [12, 13, 14], for every grid cell, based on Corine Land Cover 2006 CLC_2006_3 /100 % Fraction of lc class 3 (permanent_crops) Fraction of class 3 (permanent_crops), Corine Class Codes [15, 16, 17], for every grid cell, based on Corine Land Cover 2006 CLC_2006_4 /100 % Fraction of lc class 4 (pastures) Fraction of class 4 (pastures), Corine Class Codes [18], for every grid cell, based on Corine Land Cover 2006 CLC_2006_5 /100 % Fraction of lc class 5 (general_agricultural) Fraction of class 5 (general_agricultural), Corine Class Codes [19, 20, 21, 22], for every grid cell, based on Corine Land Cover 2006 CLC_2006_6 /100 % Fraction of lc class 6 (forest) Fraction of class 6 (forest), Corine Class Codes [23, 24, 25], for every grid cell, based on Corine Land Cover 2006 CLC_2006_7 /100 % Fraction of lc class 7 (misc_vegetation) Fraction of class 7 (misc_vegetation), Corine Class Codes [26, 27, 28, 29], for every grid cell, based on Corine Land Cover 2006 CLC_2006_8 /100 % Fraction of lc class 8 (misc_no_vegetation) Fraction of class 8 (misc_no_vegetation), Corine Class Codes [30, 31, 32, 33, 34], for every grid cell, based on Corine Land Cover 2006 CLC_2006_9 /100 % Fraction of lc class 9 (water) Fraction of class 9 (water), Corine Class Codes [>=35], for every grid cell, based on Corine Land Cover 2006 CLC_2012 unitless Mode of Corine Land Cover 2012 Mode of Corine Land Cover 2012 CLC_2012_0 /100 % Fraction of lc class 0 (artificial_surfaces) Fraction of class 0 (artificial_surfaces), Corine Class Codes [1, 3, 4, 5, 6, 7, 8, 9 , 10, 11], for every grid cell, based on Corine Land Cover 2012 CLC_2012_1 /100 % Fraction of lc class 1 (discontinuous_urban) Fraction of class 1 (discontinuous_urban), Corine Class Codes [2], for every grid cell, based on Corine Land Cover 2012 CLC_2012_2 /100 % Fraction of lc class 2 (arable_land) Fraction of class 2 (arable_land), Corine Class Codes [12, 13, 14], for every grid cell, based on Corine Land Cover 2012 CLC_2012_3 /100 % Fraction of lc class 3 (permanent_crops) Fraction of class 3 (permanent_crops), Corine Class Codes [15, 16, 17], for every grid cell, based on Corine Land Cover 2012 CLC_2012_4 /100 % Fraction of lc class 4 (pastures) Fraction of class 4 (pastures), Corine Class Codes [18], for every grid cell, based on Corine Land Cover 2012 CLC_2012_5 /100 % Fraction of lc class 5 (general_agricultural) Fraction of class 5 (general_agricultural), Corine Class Codes [19, 20, 21, 22], for every grid cell, based on Corine Land Cover 2012 CLC_2012_6 /100 % Fraction of lc class 6 (forest) Fraction of class 6 (forest), Corine Class Codes [23, 24, 25], for every grid cell, based on Corine Land Cover 2012 CLC_2012_7 /100 % Fraction of lc class 7 (misc_vegetation) Fraction of class 7 (misc_vegetation), Corine Class Codes [26, 27, 28, 29], for every grid cell, based on Corine Land Cover 2012 CLC_2012_8 /100 % Fraction of lc class 8 (misc_no_vegetation) Fraction of class 8 (misc_no_vegetation), Corine Class Codes [30, 31, 32, 33, 34], for every grid cell, based on Corine Land Cover 2012 CLC_2012_9 /100 % Fraction of lc class 9 (water) Fraction of class 9 (water), Corine Class Codes [>=35], for every grid cell, based on Corine Land Cover 2012 CLC_2018 unitless Mode of Corine Land Cover 2018 Mode of Corine Land Cover 2018 CLC_2018_0 /100 % Fraction of lc class 0 (artificial_surfaces) Fraction of class 0 (artificial_surfaces), Corine Class Codes [1, 3, 4, 5, 6, 7, 8, 9 , 10, 11], for every grid cell, based on Corine Land Cover 2018 CLC_2018_1 /100 % Fraction of lc class 1 (discontinuous_urban) Fraction of class 1 (discontinuous_urban), Corine Class Codes [2], for every grid cell, based on Corine Land Cover 2018 CLC_2018_2 /100 % Fraction of lc class 2 (arable_land) Fraction of class 2 (arable_land), Corine Class Codes [12, 13, 14], for every grid cell, based on Corine Land Cover 2018 CLC_2018_3 /100 % Fraction of lc class 3 (permanent_crops) Fraction of class 3 (permanent_crops), Corine Class Codes [15, 16, 17], for every grid cell, based on Corine Land Cover 2018 CLC_2018_4 /100 % Fraction of lc class 4 (pastures) Fraction of class 4 (pastures), Corine Class Codes [18], for every grid cell, based on Corine Land Cover 2018 CLC_2018_5 /100 % Fraction of lc class 5 (general_agricultural) Fraction of class 5 (general_agricultural), Corine Class Codes [19, 20, 21, 22], for every grid cell, based on Corine Land Cover 2018 CLC_2018_6 /100 % Fraction of lc class 6 (forest) Fraction of class 6 (forest), Corine Class Codes [23, 24, 25], for every grid cell, based on Corine Land Cover 2018 CLC_2018_7 /100 % Fraction of lc class 7 (misc_vegetation) Fraction of class 7 (misc_vegetation), Corine Class Codes [26, 27, 28, 29], for every grid cell, based on Corine Land Cover 2018 CLC_2018_8 /100 % Fraction of lc class 8 (misc_no_vegetation) Fraction of class 8 (misc_no_vegetation), Corine Class Codes [30, 31, 32, 33, 34], for every grid cell, based on Corine Land Cover 2018 CLC_2018_9 /100 % Fraction of lc class 9 (water) Fraction of class 9 (water), Corine Class Codes [>=35], for every grid cell, based on Corine Land Cover 2018 DEM m Elevation Averaged Digital Elevation Model EU-DEM POP_DENS_2009 humans/km^2 Population density (2009) Population density for year 2009 from Worldpop POP_DENS_2010 humans/km^2 Population density (2010) Population density for year 2010 from Worldpop POP_DENS_2011 humans/km^2 Population density (2011) Population density for year 2011 from Worldpop POP_DENS_2012 humans/km^2 Population density (2012) Population density for year 2012 from Worldpop POP_DENS_2013 humans/km^2 Population density (2013) Population density for year 2013 from Worldpop POP_DENS_2014 humans/km^2 Population density (2014) Population density for year 2014 from Worldpop POP_DENS_2015 humans/km^2 Population density (2015) Population density for year 2015 from Worldpop POP_DENS_2016 humans/km^2 Population density (2016) Population density for year 2016 from Worldpop POP_DENS_2017 humans/km^2 Population density (2017) Population density for year 2017 from Worldpop POP_DENS_2018 humans/km^2 Population density (2018) Population density for year 2018 from Worldpop POP_DENS_2019 humans/km^2 Population density (2019) Population density for year 2019 from Worldpop POP_DENS_2020 humans/km^2 Population density (2020) Population density for year 2020 from Worldpop POP_DENS_2021 humans/km^2 Population density (2021) Population density for year 2021 from Worldpop ROAD_DISTANCE meters Distance from roads Distance from major roads from Worldpop ROUGHNESS unitless Roughness Roughness calculated from Digital Elevation Model EU-DEM SLOPE degrees Slope Slope calculated from Digital Elevation Model EU-DEM WATERWAY_DISTANCE meters Distance from waterways Distance from major waterways from Worldpop temporal_extent : (2009-03-06, 2021-08-29) spatial_extent : (18.7, 34.3, 28.9, 42.3) crs : EPSG:4326 license : Creative Commons Attribution v4 creators : Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis contact_person : Ioannis Prapas <iprapas (at) noa.gr> citation : Ioannis Prapas, Spyros Kondylatos, & Ioannis Papoutsis. (2021). A Datacube for the analysis of wildfires in Greece (0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4943354 acknowledgements : This work has received funding from the European Union’s Horizon 2020 research and innovation project DeepCube, under grant agreement number 101004188. title : FireCube: A Daily Datacube for the Modeling and Analysis of Wildfires in Greece