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← Data

Sources

The first data source is the SeasFire Cube v3 , a data cube of pre-processed data provided by SeasFire project integrating multiple sources. The SeasFire Cube Dataset contains a set of 59 climate variables aligned on a regular grid.

All variables have:

  1. spatial resolution of $\small{0.25° \times 0.25°}$
  2. temporal resolution of 8 days
Feature Value
Spatial Coverage Global
Spatial Resolution $\small{0.25° \times 0.25°}$
Temporal Coverage 20 years (2001 → 2021)
Temporal Resolution 8 days
Number of variables 59
Overall size ~ 44 Gb

The second data source is CMIP6 data. CMIP6 data are climate model projections produced on long time frames (up to 2100) by different climate modeling centers. Data is provided (mainly) on regular grids in NetCDF format and made available through the ESGF infrastructure. Various scenarios are implemented according to different Shared Socioeconomic Pathways (SSP), representative of socio-economic and greenhouse gas emissions projected changes. Such data will be used for model inference.

Feature Value
Spatial Coverage Global
Spatial Resolution $\small{0.25° \times 0.25°}$
Temporal Coverage 2020 → 2100
Temporal Resolution Daily
Scenarios to be considered SSP2-4.5, SSP3-7.0, SSP5-8.5

Overview

The dataset used to carry on the development of the code is composed by 9 climate variables.

Drivers

The table below provides additional details regarding the list of all used variables. As can be seen, for each SeasFire Cube v3 climate variable is associated the CMIP6 climate variable short name in order to provide a match between them.

Variable CMIP6 SeasFire Cube Shape Units Origin
Leaf Area Index lai lai (time, lat, lon) $\textit{m}^2 \textit{m}^{-2}$ Nasa MODIS MOD11C1, MOD13C1, MCD15A2
Land-Sea Mask sftlf lsm (lat, lon) 0-1 ERA5
Land Surface Temperature at Day ts lst_day (time, lat, lon) K Nasa MODIS MOD11C1, MOD13C1, MCD15A2
Relative Humidity hur rel_hum (time, lat, lon) % ERA5
Surface net Solar Radiation rss ssr (time, lat, lon) $\small{MJm^{-2}}$ ERA5
Sea Surface Temperature tos sst (time, lat, lon) K ERA5
Temperature at 2 meters - Min tasmin t2m_min (time, lat, lon) K ERA5
Total Precipitation pr tp (time, lat, lon) m ERA5

Targets

The table below contains all the targets used to train the Deep Neural Network model.

Variable CMIP6 SeasFire Cube Shape Units Origin
Burned Areas - FCCI - fcci_ba (time, lat, lon) ha Fire Climate Change Initiative (FCCI)