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Global data for STEMMUS_SCOPE

This document outlines which, where and how we download the "global" input data for the model.

Download and prepare data

Tha python package zampy can be used to download and prepare the data.

Data of Climate Data store (CDS)

Many of the forcing-related data is available in the era5 reanalysis data.

era5 variables:

  • mean_total_precipitation_rate
  • surface_thermal_radiation_downwards
  • surface_solar_radiation_downwards
  • surface_pressure
  • 10m_u_component_of_wind
  • 10m_v_component_of_wind

era5-land variables:

  • 2m_temperature
  • 2m_dewpoint_temperature

era5-land soil initial conditions:

For running STEMMUS-SCOPE, global data is also required for the soil initial conditions. These are retrieved from ERA5-land.

CO2 data from Atmosphere Data Store (ADS)

CO2 data is available in the CAMS dataset. A simple check for the parsing of the data is in global_data/data_analysis_notebooks/parse_CO2_data.ipynb.

Canopy height data from ETH

The canopy height data is described in: https://langnico.github.io/globalcanopyheight/ and available here. A simple example for the parsing of the data is in global_data/data_analysis_notebooks/parse_canopy_height.ipynb.

DEM data from Copernicus

DEM data is provided by Copernicus, see here. A simple example for the parsing of the data is in global_data/data_analysis_notebooks/parse_dem.ipynb.

LAI from Climate Data Store (CDS)

LAI data was retrieved from the CDS. However, there are some downloading issues with the satellite-lai-fapar dataset. A simple example for parsing the LAI data is in global_data/data_analysis_notebooks/parse_LAI.py.

Land cover from Climate Data Store (CDS)

Land cover data is available at https://cds.climate.copernicus.eu/datasets/satellite-land-cover.