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Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters.

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Presentation on theme: "Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters."— Presentation transcript:

1 Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters constrained by land cover type -resulting fire CO2 emissions will be translated into atmospheric CO2 concentrations and compared to CCI GHG Integrated assessment of CCI terrestrial ECVs impact in the MPI-ESM

2 Fuel moisture Fuel availability Ignition Source JSBACH - SPITFIRE (Lasslop et al., 2014) Fire Model in MPI ESM - JSBACH-SPITFIRE State of the art process based fire model fully integrated in the MPI-ESM reflects the “fire triangle”: a fire needs an ignition source and fuel and the fuel has to be dry enough Terrestrial ECV assessment [WP3.4]

3 burned area [% of grid box] (2006-2008) CCI-MERIS / CCI Merged GFEDv3 / GFEDv4 JSBACH SPITFIRE v1/v2 Terrestrial ECV assessment [WP3.4]

4 burned area [% of grid box] CCI-MERIS / CCI Merged GFEDv3 / GFEDv4 JSBACH SPITFIRE v1/v2 & CCI SM Terrestrial ECV assessment [WP3.4]

5 burned area [% of grid box] CCI FIRE CCI-MERIS / CCI Merged GFEDv3 / GFEDv4 JSBACH SPITFIRE v1/v2 & CCI SM Soil Moisture [%] Normalized fraction of burned area [%] Terrestrial ECV assessment [WP3.4]

6 burned area [% of grid box] CCI FIRE CCI-MERIS / CCI Merged GFEDv3 / GFEDv4 JSBACH SPITFIRE v1/v2 & CCI SM Soil Moisture [%] Normalized fraction of burned area [%] CCI –MERIS burned area peaks at a higher soil moisture compared to GFED products and the distribution is wider CCI – MERGED burned area are higher for high soil moisture (>25%) compared to ESA – MERIS or GFED JSBACH-SPITFIRE peaks at a too high soil moisture and the distribution is too wide Terrestrial ECV assessment [WP3.4]

7 we varied two parameters in JSBACH – SPITFIRE to optimize width and peak position of the soil moisture / burned area relationship in ~70 experiments running from 1850 to 2006 (a) conversion soil moisture to fuel moisture (b) ignition rate  a lower fuel moisture improves the peak position, while lower ignition rates improve the width of the distribution  improvements are however small, i.e. default values perform reasonable well  further not well constrained parameters in the fire model are currently tested Δ peak position Δ width of the distribution Terrestrial ECV assessment [WP3.4]


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