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InGOS and the future for non-CO 2 greenhouse gas observations

InGOS and the future for non-CO 2 greenhouse gas observations .

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InGOS and the future for non-CO 2 greenhouse gas observations

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  1. InGOS and the future for non-CO2 greenhouse gas observations Alex Vermeulen, Arjan Hensen, Sylvia Walter, Peter Bergamaschi, Simon O’Doherty, LynnHazan, Ingeborg Levin, IvanMammarella, EikoNemitz, EuanNisbet, Stefan Reimann, Thomas Röckmann, Martina Schmidt, ThorstenWarneke

  2. InGOSoverview Improving and extending European observation capacity for non-CO2 greenhouse gases • Infrastructure project: IntegratingActivities • Budget 11 M€, EU 8 M€ • 34 (36) partners, 14 (15) countries, 24 (28) observing stations • 1 October 2011 – 1 October 2015 • Will improve non-CO2observations and integratethem in ICOS • Buildson: CHIOTTO, SOGE, CarboEurope, GHGEurope, IMECC etc. • Coordination: ECN, NL • http://www.ingos-infrastructure.eu

  3. Non-CO2reductionswillbeneeded (too)! 2 ºC limit in 2100 hard to reach CO2 –eq=2 ºC -> 450 ppm a = 2010 (non-)CO2emissions b = 80% reduct. non-CO2 c = 80% reduct. CO2 d = 80% reduct. CO2+non-CO2 Montzka et al, Nature, 2011 N2O is currentlybiggest ODS (Ravishankara et al, 2009) Emissionreductions >80%: verification!

  4. non-CO2GHG emissionsuncertain • Global antrop. emissionsfromnetworkbadlyconstrained • Anthropogenisemissionsbottom-upon country basis: • CO2emissionannually per country -> 10% or more different (EEA, 2012) • CH4: 30% • N2O: 50 .. 200% • SF6: 50% • Halocarbons: 50% • Development of inverse transport models • Verificationby more and betterobservations is needed • We can’t go back later to measuretodays baseline • Capturesupriseemissions (natural (CC) orhuman)

  5. InGOSactivities • Networkingactivities: • Improvehistoric datasets CH4, N2O, SF6, H2, CO • Goodpracticedevelopmentfor all gas, isotope and flux observations • Nearreal-timeprovision of tracer data and • Provision of QA’ednewobservational data • Trans National Access: • 18 stations • Provision of • lab calibrationstandards • Gasesforcomparisons • Service activities: databases (linked/sharedwith ICOS/AGAGE/WMO etc) • Research activities • Testing and (co-)developingnew sensors/instruments/methods • Integration of measurements and (inverse) modelling, networkoptimisation. • Link withremotesensing (TCCON) • Development of newobservations (halocarbons, isotopes) • Integration of flux and concentrationmeasurements at talltower sites

  6. Integration of models and observations • High resolution222Rn emissionmapsfor model validation (connectswithTranscom-BLH) • Forward and inverse modellingby 7 independent global and/orregional models • CH4+N2O: • Networksensitivityfor • currentnetwork (22) • ICOS (34), • ICOS future (50) • Special EDGAR 4.2FT for prior emissionestimates • 13CH4tracermodelling • Halocarbon inversions

  7. High precision and accuracychallenges WMO recommendations of measurementscompatibility CO2 0.1 ppm 400 ppm CH4 2 ppb 1900 ppb N2O 0.5 ppb 325 ppb H2 2 ppb 550 ppb CO 2 ppb 100 ppb SF6 0.02 ppt 7.8 ppt 13CO2 0.01 ‰ -7.5..-9 ‰ VPDB 14CO2 1 ‰ 0..70 ‰ VPDB 13CH4 0.02 ‰ -80..-20 ‰ VSMOW

  8. LessGC’s, let’s go optical New instrumentation: CRDS, OA-ICOS, QCL… Wollongong FTIR (Griffith et al, 2011) Full IR spectra - wavenumber 1000-5000 cm-1 Travelling standardfor ICOS Precision: CO2: 0.05 ppm 13CO2: <0.08 ‰ CH4: 0.2 ppb N2O: 0.03 ppb CO: 0.2 ppb HDO: 1 ‰ H218O: 0.2 ‰

  9. Links with air quality/atm. compositionchange research • Almostsameanthropogenicsources, sameatmosphere! • GHG’s are ~passivetracers: ultimate test • Canbemeasuredveryprecise, lessuncertainties (deposition, reactions, sampling artefacts) • Test forminimising transport errors in atmospheric transport models • Very sensitive to verticalmixingprocesses • Idealcase forsetup of multitracerconstrainedinversions • Improvement of GHG emissionsbyverification-> improvement of otheremissions as well (time and place)! • Baseline monitoringinfrastructureshouldbeshared, almostsamedemands

  10. Link climatewith air quality: inventoriesuncertainty, transport (verticalmixing) PBL heightsystematicuncertainty: 30% or more Systematicerrors in concentration and derivedfluxes Largepotentialforimprovement: assimilatingceilometernetwork Sounding ECMWF Gerbig et al, 2008

  11. Shift to high resolution models (<5 km)

  12. Models tested, correlationsok Models tested, errorsnotyetok Bergamaschi et al, 2013, in prep

  13. InGOSnow and in the future • InGOSnowwellunderway (~24 months) showinggoodprogress • InGOSintegrates different communities (surfacemeasurements, remotesensing and modelling) • InGOSwill provide • Harmonizedhistoric datasets forcontinuousEuropeanobs. of CH4, N2O, SF6, H2, inclusiveerroranalysis • Nearrealtimecontinuous data for CH4, N2O, SF6, H2, 222Rn… • Improvedregionalemissionestimates (bottom up+top down) • Network design for non-CO2 monitoring • Improvedmeasurementtechniques and methods

  14. InGOSbeyond 2015 • Furtherexpand, improveconsistency and quality of network • Test and deploynew (optical) techniques • Increase links and synergy: • ICOS • ACTRIS • AQ networks • Urbannetworks: mobile platforms • Link to FP7 + Horizon 2020 projects • Extenduse of observations to full temporal resolution • Additionalisotopic ratio obs.: bettersourcecharacterisation • Deploynewremotesensing platforms, expand TCCON groundtruthing (e.g. Tropomi) at co-located sites

  15. THANK YOU! The InGOS project receives funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 284274

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