Download Soil Moisture

Terrestrial ECV assessment [WP3.4]
• Integrated assessment of CCI terrestrial ECVs impact in the MPI-ESM
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
Terrestrial ECV assessment [WP3.4]
• Fire Model in MPI ESM - JSBACH-SPITFIRE
JSBACH - SPITFIRE (Lasslop et al., 2014)
•
•
•
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
Fuel moisture
Fuel availability
Ignition Source
Terrestrial ECV assessment [WP3.4]
burned area [% of grid box] (2006-2008)
CCI-MERIS / CCI Merged
GFEDv3 / GFEDv4
JSBACH SPITFIRE v1/v2
Terrestrial ECV assessment [WP3.4]
burned area [% of grid box]
CCI-MERIS / CCI Merged
CCI SM
GFEDv3 / GFEDv4
&
JSBACH SPITFIRE v1/v2
Terrestrial ECV assessment [WP3.4]
burned area [% of grid box]
Normalized fraction of burned area [%]
CCI FIRE
CCI-MERIS / CCI Merged
CCI SM
GFEDv3 / GFEDv4
&
JSBACH SPITFIRE v1/v2
Soil Moisture [%]
Terrestrial ECV assessment [WP3.4]
burned area [% of grid box]
Normalized fraction of burned area [%]
CCI FIRE
CCI-MERIS / CCI Merged
CCI SM
GFEDv3 / GFEDv4
&
• CCI –MERIS burned area peaks at a higher soil moisture compared to GFED
JSBACH SPITFIRE v1/v2
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 highSoil
soilMoisture
moisture[%]
and the distribution is too wide
Terrestrial ECV assessment [WP3.4]
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
Δ width of the distribution
•
Δ peak position
 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