van der Woude, Auke: In tandem optimisation of anthropogenic and biosphere CO₂ emissions using a simple fossil fuel emission model and C¹⁴
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ICOS Science Conference, Session 1
![Biological fluxes influence measured CO2
Cabauw, NL
ContributiontoatmosphericCO2[ppmCO2]
Day of year
2
Tolk et al., 2009](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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van der Woude, Auke: In tandem optimisation of anthropogenic and biosphere CO₂ emissions using a simple fossil fuel emission model and C¹⁴
- 1. Optimising fossil fuel and biological CO2 emissions using radiocarbon Auke van der Woude, Ingrid Super, Ingrid Luijkx, Michiel van der Molen, Harro Meijer, Linh Nguyen, Wouter Peters auke.van.der.woude@rug.nl auke.vanderwoude@wur.nl
- 2. Biological fluxes influence measured CO2 Cabauw, NL ContributiontoatmosphericCO2[ppmCO2] Day of year 2 Tolk et al., 2009
- 3. Framework • Rijnmond area (Netherlands) • Biosphere not optimised 3
- 4. Disentangle bio from FF Nguyen, Meijer; 2020 14C as tracer for ff Rotterdam, NL 4
- 5. Framework extension • Larger domain (RINGO) • Biosphere included • C14 (O2 ongoing) 5
- 6. Super et al., 2020 Rijnmond area Dynamic FF model • Yearly emissions per sector per country • Spatial downscaling • Temporal downscaling • Activity data • Dynamic Example: Household energy • Baseline + heating below 18oC • Population density 6 Super et al., 2020 in GMD
- 7. Biosphere fluxes (work in progress) High resolution fluxes • SiB4 0.5o by 0.5o with 10 plant functional types • CORINE land use map (2 by 2 km) (44 land uses) to PFT (10) • Paint-by-number approach Dominant PFT in SiBDominant PFT in CORINE 7
- 8. Biosphere fluxes (work in progress) 8 June 2016
- 9. Experiments -- Preliminary 9 • Hourly pseudodata for 10 ICOS sites during daytime • Jan-Feb 2016, optimise in steps of 5 days (11 cycles) • 0. 05 by 0.1 degree • WRF-STILT footprints (24 hours back) • For each (6) country: 4 parameters fossil fuel model • For most predominant PFTs (4): 1 parameter in the biosphere optimised • Total number of paramters per 5 days: 28 • CarbonTracker EnKF used with 96 members
- 10. Results 10 True – prior: Initial difference
- 11. Optimise 11 28 parameters 250 CO2 measurements Add 19 14C measurements
- 12. Multiple cycles • Totals remain the same • Split improves with 14C • Sectors improve slightly • Only transport no sector information 12 Targeted 14COnly CO2 Relativedeviation[%]
- 14. Sector Subsector Spatial Temporal Public power Coal-powered Gas-powered Emission inventory Month: Profile Day: Temperature Hour: Profile Industry Emission inventory Month: Profile Day: Profile Hour: Static Household energy Population Density Month: Profile Day: Temperature Hour: Profile Glasshouses Satellite images Month: Profile Day: Temperature Hour: Profile Cars (Highway Middle Urban) Road network Month: Profile Day: Profile Hour: Profile Heavy-duty vehicles (Highway Middle Urban) Road network Month: Profile Day: Profile Hour: Profile Shipping Ocean Inland Recreational Waterways Month: Profile Day: Profile Hour: Profile 14
- 15. Results • 14C to disentengle bio from ff • Pseudodata Cabauw, NL CO2[ppm] Day since start of inversion 1 2 3 4 5 CO2 + C14
- 16. Biosphere fluxes (work in progress) NEE (uptake negative) [umol/m2/s] on Jan 1, 2016 16
Editor's Notes
- Welcome, thanks for coming to my presentation on … First thing that comes to mind: Why care?
- Biosphere influences measured CO2, more variable than FF. See clearly positive and negative bio signal, always present positive FF contribution. Tussen Utrecht en Rotterdam, urban area, MET STERKE INVLOED VAN BIO FF optimalisatie eerder gedaan
- Biosfeer niet geoptimaliseerd: pseudodata experiment Wij gaan biosfeer wel optimaliseren: Met 14C
- Rcb golden tracer, vervallen in FF, Kijken naar metingen van rcb in gebied rond rotterdam These measurements also outside of Rotterdam area, use Super’s method outside Rotterdam
- Noem: ook met andere gegevens, zoals zonlicht en wind voor renewable Verdere detail in publicatie (super et al., 2020, GMD)
- Weerniet heel variabel over half bij een half graad, grootste verschillen in LU
- Eerst SiB4 en CORINE PFTs, dan
- This is just for one cycle: multiple cycles
- This is just for one cycle: multiple cycles
- Dominant PFT van SiB4