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Input datasets

CarbonTracker

The CarbonTracker data is available from NOAA's Global Monitoring Laboratory. You will need the following files:

ERA5

Hourly data (Fluxnet model)

Do note that this is a lot of data (~230 GB), and the download will take a long time.

Change to the folder where you want and run the following command: With era5cli the ERA5 data can be downloaded using the following command. Do note that this is a lot of data (~230 GB), and the download will take a long time. Do pip install era5cli to be able to run the command.

era5cli hourly \
    --variables 2m_temperature 2m_dewpoint_temperature surface_net_solar_radiation \
    surface_net_thermal_radiation mean_surface_sensible_heat_flux mean_surface_latent_heat_flux \
    surface_pressure total_precipitation \
    --startyear 1995 --endyear 2020 --levels surface \
    --area 60 -140 15 -55

Monthly data (CarbonTracker model)

For CarbonTracker only monthly data is required. For this data the required storage is 4.2 GB.

Change to the desired folder and run: 

era5cli monthly \
    --variables 2m_temperature 2m_dewpoint_temperature surface_net_solar_radiation \
    surface_net_thermal_radiation mean_surface_sensible_heat_flux mean_surface_latent_heat_flux \
    type_of_low_vegetation type_of_high_vegetation \
    surface_pressure total_precipitation \
    type_of_low_vegetation type_of_high_vegetation \
    --startyear 2000 --endyear 2020 --levels surface \
    --area 60 -140 15 -55

ERA5-land

Similar to ERA5, ERA5-land dataset can be retrieved using era5cli as well. For instance: 

era5cli monthly \
    --variables skin_temperature soil_temperature_level_1 soil_temperature_level_2 soil_temperature_level_3 \
    soil_temperature_level_4 volumetric_soil_water_layer_1 \
    volumetric_soil_water_layer_2 volumetric_soil_water_layer_3 \
    volumetric_soil_water_layer_4 \
    --startyear 2000 --endyear 2020 --land --levels surface \
    --area 60 -140 15 -55

Land cover

Land cover classification gridded map describes the land surface into 22 classes. The data is available here and it can be downloaded via CDS.

SPEI

Standardized Precipitation-Evapotranspiration Index, which in short is SPEI, is a global gridded dataset at time scales between 1 and 48 months and spatial resolution of 0.5 deg lat/lon. It can be downloaded from the following link: https://digital.csic.es/handle/10261/288226

Fluxnet

The Ameriflux data was downloaded from the following link https://ameriflux.lbl.gov/data/download-data/

To be able to download the data you need to be registered.

Go through the following steps:

  1. Select AmeriFlux FLUXNET
  2. Select FULLSET, Include BADM
  3. Select all sites.
  4. Describe why you want the data, and agree to the policy
  5. Download the zip files for all sites, as well as the metadata file AMF_AA-Flx_FLUXNET-BIF_CCBY4_20221210.xlsx.
  6. Move all the downloaded zip files to a single folder

MODIS

An introductiona about the MODIS Vegetation Index Products (NDVI and EVI) can be found here.

MODIS data can be retrieved via the following ways: - Via the AρρEEARS API (https://appeears.earthdatacloud.nasa.gov/api/?python#introduction) - Through web service (https://modis.ornl.gov/data/modis_webservice.html) - Using MODISTools (https://cran.r-project.org/web/packages/MODISTools/index.html)

We recommend users to download MODIS data with AρρEEARS API.

Biomass

The raw biomass data is available on: https://zenodo.org/records/4161694

The biomass netCDF dataset can be retrieved using the following script: https://github.com/rubisco-sfa/ILAMB-Data/blob/a4c1c57011472d37e25fcb8336a5f2a470b80fb9/biomass/XuSaatchi/convert.py