STILT Model Information

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Model

Meteorology

  • Name: ECMWF IFS
  • Description: European Centre for Medium-Range Weather Forecast (ECMWF) Integrated Forecasting System (IFS) operational analysis and forecast.
  • URI: https://www.ecmwf.int/en/forecasts/documentation-and-support
  • Spatial:
    • Geolocation: Global
    • Resolution: 0.25 degree longitude x 0.25 degree latitude
  • Temporal:
    • Resolution: 3-hourly

Biosphere CO2 Fluxes

  • Name: VPRM
  • Description: Biosphere-atmosphere exchange fluxes for CO2 simulated with the Vegetation Photosynthesis and Respiration Model VPRM (Mahadevan et al., 2008, https://doi.org/10.1029/2006GB002735) for the European domain. Simulations were performed using the following datasets:
    • Vegetation Photosynthesis and Respiration Model (VPRM) parameters optimized for the year 2007 using 46 sites within Europe (available from www.europe-fluxdata.eu)
    • VPRM preprocessor code version Rev.116
    • VPRM optimization code version Rev.7
    • VPRM offline code version Rev. 13
    • MODIS Terra MOD09A1 surface reflectances version 6
    • Downward shortwave radiation and 2m Temperature extracted from analysis and short-term forecast fields from the ECMWF IFS model
    • Landcover classification based on SYNMAP (Jung et al., 2006, https://doi.org/10.1016/j.rse.2006.01.020)
    • Updated version based on MODIS V6.1 is used for STILT runs from 2023.
  • URI: 
  • Spatial:
    • Geolocation: Europe
    • Resolution: 1/8 degrees longitude x 1/12 degrees latitude
  • Temporal:
    • Resolution: 1-hourly

Anthropogenic CO2 Emissions

Lateral Boundary Conditions CO2

  • Name: Jena CarboScope
  • Description: The global spatio-temporal atmospheric CO2 mixing ratio fields have been calculated by forward simulation with the atmospheric tracer transport model TM3 driven with re-analysed meteorological data. Surface CO2 fluxes supplied to the model are the inverse flux estimates, based on atmospheric observations and the same transport model. By construction, therefore, the atmospheric CO2 mixing ratio fields optimally fit the measurements at the set of observation sites used, and provide an interpolation in between.
  • Version: 
    • s10oc_v2023 
    • s10oc_v2024E
  • URI: 
  • Spatial:
    • Geolocation: Global
    • Resolution: 5 degree longitude x 4 degree latitude
  • Temporal:
    • Resolution: 3-hourly

Anthropogenic CH4 Emissions

Natural CH4 Land Fluxes

  • Name: JSBACH-HIMMELI
  • Description: Methane fluxes were calculated separately for several components: (1) Emissions from inundated soils were calculated following the procedure by Spahni et al. (2011, https://doi.org/10.5194/bg-8-1643-2011) using soil respiration data produced by JSBACH land ecosystem mode (Reick et al., 2021, https://hdl.handle.net/21.11116/0000-0008-098B-2); (2) Emissions from peatlands were simulated with a HIMMELI methane production and transport model that is implemented to JSBACH land ecosystem model; (3) Exchange fluxes from mineral soils, emission from wet mineral soils and uptake separately, were calculated following the procedure by Spahni et al. (2011, https://doi.org/10.5194/bg-8-1643-2011) based on soil moisture, soil temperature and soil respiration data produced by JSBACH land ecosystem model. Land vegetation cover as well as soil properties were based on CLC2012 100m resolution land cover data. Inundated land area according to Zhang et al. (2021, https://doi.org/10.5194/essd-13-2001-2021) exceeding peatland area (pristine bogs and mires from CLC) was substracted from the total land area and the remaining land was considered as mineral soil. Climate forcing for JSBACH was CRUERA. An updated version is used in STILT runs starting 2023.
  • URI: 
  • Spatial:
    • Geolocation: Europe
    • Resolution: 0.1 degrees longitude x 0.1 degrees latitude
  • Temporal:
    • Resolution: monthly

Fire CH4 Emissions

  • Name: GFAS
  • Description: CAMS global biomass burning emissions based on fire radiative power GFAS v1.2. The CAMS Global Fire Assimilation System (GFAS) utilises satellite observations of fire radiative power (FRP) to provide near-real-time information on the location, relative intensity and estimated emissions from biomass burning and vegetation fires. Emissions are estimated by (i) conversion of FRP observations to the dry matter (DM) consumed by the fire, and (ii) application of emission factors to DM for different biomes, based on field and laboratory studies in the scientific literature, to estimate the emissions.
  • URI: https://ads.atmosphere.copernicus.eu/datasets/cams-global-fire-emissions-gfas
  • Spatial:
    • Geolocation: Global
    • Resolution: 0.1 degrees longitude x 0.1 degrees latitude
  • Temporal:
    • Resolution: daily

Ocean CH4 Emissions

Lakes CH4 Emissions

Lateral Boundary Conditions CH4