terrestrial ecv assessment [wp3.4] aim -to use cci fire and soil moisture observations to derive...
TRANSCRIPT
![Page 1: Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters](https://reader036.vdocument.in/reader036/viewer/2022082819/56649dff5503460f94ae70e6/html5/thumbnails/1.jpg)
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
![Page 2: Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters](https://reader036.vdocument.in/reader036/viewer/2022082819/56649dff5503460f94ae70e6/html5/thumbnails/2.jpg)
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]
![Page 3: Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters](https://reader036.vdocument.in/reader036/viewer/2022082819/56649dff5503460f94ae70e6/html5/thumbnails/3.jpg)
burned area [% of grid box] (2006-2008)
CCI-MERIS / CCI Merged
GFEDv3 / GFEDv4
JSBACH SPITFIRE v1/v2
Terrestrial ECV assessment [WP3.4]
![Page 4: Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters](https://reader036.vdocument.in/reader036/viewer/2022082819/56649dff5503460f94ae70e6/html5/thumbnails/4.jpg)
burned area [% of grid box]
CCI-MERIS / CCI Merged
GFEDv3 / GFEDv4
JSBACH SPITFIRE v1/v2
&
CCI SM
Terrestrial ECV assessment [WP3.4]
![Page 5: Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters](https://reader036.vdocument.in/reader036/viewer/2022082819/56649dff5503460f94ae70e6/html5/thumbnails/5.jpg)
burned area [% of grid box]CCI FIRE
CCI-MERIS / CCI Merged
GFEDv3 / GFEDv4
JSBACH SPITFIRE v1/v2
&
CCI SM
Soil Moisture [%]
Nor
mal
ized
frac
tion
of b
urne
d ar
ea [%
]
Terrestrial ECV assessment [WP3.4]
![Page 6: Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters](https://reader036.vdocument.in/reader036/viewer/2022082819/56649dff5503460f94ae70e6/html5/thumbnails/6.jpg)
burned area [% of grid box]CCI FIRE
CCI-MERIS / CCI Merged
GFEDv3 / GFEDv4
JSBACH SPITFIRE v1/v2
&
CCI SM
Soil Moisture [%]
Nor
mal
ized
frac
tion
of b
urne
d ar
ea [%
]
• 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]
![Page 7: Terrestrial ECV assessment [WP3.4] Aim -to use CCI fire and soil moisture observations to derive functional relationships to optimize fire model parameters](https://reader036.vdocument.in/reader036/viewer/2022082819/56649dff5503460f94ae70e6/html5/thumbnails/7.jpg)
• 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 w
idth
of t
he d
istrib
ution
Terrestrial ECV assessment [WP3.4]