Frascati 26-27 nov 2009
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Transcript of Frascati 26-27 nov 2009
Frascati 26-27 nov 2009
A.-C. Engvall, A. Stohl, N. I. Kristiansen, A. Fahre Vik, K. Tørseth, and others
Norwegian Institue for Air ResearchNILU
Dept. Atmospheric and Climate Research (ATMOS)
www.nilu.no
FLEXPART group at NILUResearch projects within our group focus on various aspects of
atmospheric transport - a few examples:• Arctic pollutants – transport linked to ground-based
measurements as well as aircraft measurements (Zeppelin station, POLARCAT).
• Antarctic: Transport linked to Ground-based measurements at Troll station.
• Determine the mean and variation of the combined oceanic and atmospheric heat transports toward Svalbard and the European Arctic (POCAHONTAS).
• …and more information can be find at http://transport.nilu.no
Seasonal variation of Arctic Haze
Joranger and Ottar, Geophys. Res. Lett., 1984
Climate effects of Arctic pollutionQuinn et al., ACPD, 2008
• AMAP Expert Group on SLCF• Arctic Council Task Force on SLCF• IPCC activities on Black Carbon
However: very large uncertainties; we need to understand sources and relevant processes better
Picture courtesy: Ann-Christine Engvall
Transport of agriculture fire emission plumesStohl et al., ACPD, 2007
At Zeppelin, new records set for practically all measured compounds
Even for ozone and aerosol optical depth, which are both measured since 18 years
Dramatic effects on pollution levels
Stohl et al., ACPD, 2007
Eckhardt et al., ACPD, 2007
Long-term monitoring of various persistent organic pollutants (POPs) at Zeppelin
Highest concentrations observed during biomass
burning episodes:
Green: Alaskan firesOrange: Agricultural fires in
Eastern Europe
Volcanic eruptions• Emissions of SO2 can affect the climate and
volcanic ash is a major hazard to aviation.
• Goal: Simulate the transport of the emitted species and predict the affected areas.
• Problem: The model simulation require a vertical emission height profile, which is unknown.
• Satellite data normally only provide total columns or very poorly resolved vertical profiles.
• Solution: Use a dispersion model, satellite observations of SO2 during the first few hours/days after the eruption, and an inversion algorithm to determine an optimal emission height profile of the eruption.
Case study: Kasatochi Volcano, Alaska
Eruption: 7-8 August 2008
Significant amount of SO2 emitted
(1.5 – 2.5 Tg)
Satellite observations from GOME-2OMIAIRS
Challenges: o Temporal resolution:
Only 1-2 overpasses each day observing the SO2 cloud.
o Retrievals:The satellite retrievals provide different total columns of SO2.
Case study: Kasatochi Volcano, Alaska
Inversion result: FLEXPART transport simulation:
Future/ongoing work: Inversion results for volcanic ash.
Requirements: Satellite measurements cover the region of the volcano. Good temporal resolution of the satellite data for the hours/days after
the eruption Good retrievals of both SO2 and volcanic ash.
Motivation for investigation satellite based measurements• Data coverage of regular monitoring network not sufficient to
answer questions like:• How large is the contribution of intercontinental transport of Air
Pollution of regional-scale Air Quality ?
• In particular in the eastern part of the EMEP region, central Asia and the eastern Mediterranean. Sites in North Africa would be valuable. …. no data over oceans …
• Satellite data are available and should be used? Request for additional data sources such as airborne
measurements and remote sensing data Evaluation of the SYNAER data product for regional air quality
monitoring over Europe
The SYNAER (SYNergetic Aerosol Retrieval) data product• The SYNAER product
Provided by DLR through ESA-GSE project PROMOTE “European multi-annual PM record”
see Holzer-Popp et al., ACPD, 2008Synergistic retrieval of aerosol
properties based AATSR and SCIAMACHY (and ATSR/GOME)
Radiometer used to estimate AODSpectrometer used to estimate
aerosol compositionSurface levels of PM10, PM2.5 and
PM0.5 given for cloud-free pixels on SCIAMACHY-grid
Requirements• Close interaction between data provider and data user is
beneficial – such cooperation should be encouraged by space agencies for current and future missions.
Use of satellite data at NILU• Examples have been shown how satellite data is used for analysing air
mass transport of pollutants with the FLEXPART model. • The inversion algorithm in FLEXPART (Stohl et al. 2009) is suitable also for
incorporating satellite data and that we will do exactly that in the framework of SOGG-EA (Sources of Greenhouse Gases in East Asia).
• EMEP programme: Validation and usage of satellite based AOD and PM measurements – SYNAER• Evaluation of different SYNAER versions• Validation against EMEP surface measurements and EMEP model
Thank you for your attention!