FireCube: A Daily Datacube for the Modeling and Analysis of Wildfires in Greece
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下载链接:
https://zenodo.org/record/4943353
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资源简介:
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
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
创建时间:
2022-10-17



