View
2
Download
0
Category
Preview:
Citation preview
Utilizationof synergetic aerosol retrieval from
ENVISAT (and METOP)
Thomas Holzer-Popp1, Lars Klüser 1,2,Dymtro Martynenko1, Kerstin Stebel3
1 German Aerospace Center (DLR), Wessling, Germany
2 University of Augsburg, Institute of Physics, Augsburg, Germany
3 NILU, Norway
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 2
Outline
SYNAER method
SYNAER utilizations focusing on aerosol componentsaerosol monitoring examples(data assimilation)air quality monitoringaerosol-cloud interactions
Conclusions and outlook
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 3
Outline
SYNAER method
SYNAER utilizations focusing on aerosol componentsaerosol monitoring examples(data assimilation)air quality monitoringaerosol-cloud interactions
Conclusions and outlook
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 4
SYNAER method
Spectrometer (With high spectral resolution) 60x30 km2
least square fit of simulated spectra for 40 aerosol typesusing AOD and surface albedo for each type from AATSR→ selection of most plausible aerosol typefit quality check
Radiometer (With high spatial resolution 1x1 km2,Accurate cloud detection and correctionDark field method (670nm land / 870 nm ocean)→ retrieval of AOD and surface albedo
for given aerosol typerepetition for 40 aerosol mixtures
Coregistration to spectrometer pixels
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 5
Analyzed information content of spectrometer
with AOD
with surfacetype
Holzer-Popp et al., ACP, 2008
more than 2degrees of freedom
for aerosol, type
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 6
SYNAER/ENV validation v2.27-10/2005, Europe (Africa), 50 coincidences
Bias: -0.04 / -0.01 / -0.01Stdv: 0.12 / 0.08 / 0.06Corr: 0.78 / 0.80 / 0.78
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 7
SYNAER/ENV – limitations and strengths
- sensors as used were not specified (primarily) for aerosols
- limitations- spatial / temporal coverage and resolution (12 days, 60x30 km2)- dependence on pre-defined fixed aerosol mixtures- no retrieval over very bright surfaces (A670 > 0.25)- open issue over Atlantic ocean under investigation
- strengths- estimation of aerosol composition- partly cloudy SCIA pixels used (1km2 AATSR cloud detection)
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 8
Outline
SYNAER method
SYNAER utilizations focusing on aerosol componentsaerosol monitoring examples(data assimilation)air quality monitoringaerosol-cloud interactions
Conclusions and outlook
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 9
Utilizations (1)
Aerosol monitoring examples
daily examplesmulti-annual dataset 2003-2009 (under processing)regional time series
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 10
SYNAER/ENV v1 daily result: SCIAMACHY + AATSRAerosol pollution over Po basin, 22 April 2006
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 11
SYNAER/ENV v1 daily result: SCIAMACHY + AATSRAerosol pollution over Po basin, 22 April 2006
soot
mineral maritime
sulfate
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 12
Seasonal soot 2003 – 2007 (2004 partial)
DJF MAM JJA SON
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 13
Regional time series: „Angola basin“
2003 2005 2006 2007 2009
Pixe
l num
ber
AO
D55
0
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 14
Utilizations (2)
Component-wise data assimilation (METOP)
-> see talk D. Martynenko THU 14:00
difference by assimilationWASO (incl. organic soot)
July, 23 2007
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 15
Utilizations (3)
Air quality monitoring
Convert AOD into mass concentrations (PMx)using retrieved composition to estimate size distribution
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 16
Converting SYNAER result into PMAOD-PM conversion requires SYNAER-PM product uses- information on size distribution - microphysical properties of retrieved aerosol mixture- information on vertical profile - auxiliary CTM profile shape correction
Particle mass concentrations PM10 [�g/m3]No. Name Total WASO INSO SSAM SSCM SOOT MITR1 Pure Watersoluble 148 1482 Continental I 206 140 663 Continental II 265 132 1334 Continental III 325 126 1995 Maritime I 296 44 2526 Maritime II 323 44 234 457 Maritime III 328 22 3068 Maritime IV 381 22 270 919 Polluted Watersoluble I 137 132 5
10 Polluted Watersoluble II 128 118 1011 Polluted Continental I 256 118 133 512 Polluted Continental II 247 104 133 1013 Polluted Maritime I 272 60 162 45 514 Polluted Maritime II 289 44 144 91 1015 Desert Outbreak I 109 109 31816 Desert Outbreak II 72 72 63617 Desert Outbreak III 38 38 95418 Biom. Burn. / High Poll. I 133 126 719 Biom. Burn. / High Poll. II 118 103 1520 Biom. Burn. / High Poll. III 103 80 23
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 17
SYNAER PM validation EMEP
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 18
SYNAER PM validation EMEP
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 19
Monthly means PM10 and PM2.5 summer 2006
EMEP model data: S. Tsyro, met.no
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 20
SYNAER PM10 / PM2.5 summer 2006 / 2007 episode
min: 5 data-points in 50x50 km
min: 5 data-points in 50x50 km
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 21
Utilizations (4)
Aerosol-cloud interactions
Correlate SYNAER 2003-2005soot and dust with cloud / precipitation datasets
APOLLO and beyond (AATSR)- Cloud Cover- Cloud Top Temperature
TRMM precipitation observations- Daily Precipitation amounts
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 22
no seasonalseparation here
AOD < 0.05 overbackground: no aerosol
WASO dominates signalof total aerosol
different effects of sootand dust
cloud cover observationdensities skewed to lowcloud cover due to low-cloud bias of theSYNAER retrievalmethod
Mediterranean cloud cover
Mediterranean basin: cloud cover
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 23
Mediterranean basin: cloud top temperature
seasonal variation of aerosol cloudinteractions
indirect aerosol effectsof mineral dust and sootcan counteract, typedependence is important
aerosol effects on CTT important for cloudmicrophysics, in-cloudthermodynamics, precipitation and climate(outgoing longwaveradiation)
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 24
Mediterranean basin: precipitation comparison with MODIS
spatial coverage of SYNAER-ENVISAT is insufficient forsophisticated statistical analyses
MODIS and comparable products: much better spatial coverage, but no real aerosol species differentiation
aerosol species have different indirectaerosol effects, partly counteracting
→ need for species differentiatingaerosol retrieval with good spatialcoverage / statistics
SYNAER/ENV 2003-2009
SYNAER/METOP
SYNAER
MODIS
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 25
Outline
SYNAER method
SYNAER utilizations focusing on aerosol componentsaerosol monitoring examples(data assimilation)air quality monitoringaerosol-cloud interactions
Conclusions and outlook
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 26
Conclusions
• First applications of SYNAER show potential and limitations
• aerosol monitoring
• data assimilation -> talk D. Martynenko THU 14:00
• air quality / PM
• aerosol-cloud effects (soot / dust)
• weak sampling needs to be handled with care -> SYNAER/METOP
• validation and processing ongoing
• data available at: http://wdc.dlr.de
Mineral dust detection from MSG SEVIRI IR observations > Lars Klüser > Eumetsat Conference 2008, Darmstadt
slide 27
ReferencesHolzer-Popp, T., M. Schroedter, and G., Gesell, Retrieving aerosol optical depth and type in the boundary layer over land and ocean from simultaneous GOME spectrometer and ATSR-2 radiometer measurements, 1, Method description, Journal of Geophysical Research, 107, D21, pp. AAC16-1 – AAC16-17, 2002
Holzer-Popp, T., M. Schroedter, and G., Gesell, Retrieving aerosol optical depth and type in the boundary layer over land and ocean from simultaneous GOME spectrometer and ATSR-2 radiometer measurements, 2, Case study application and validation, Journal of Geophysical Research, 107, D24, pp. AAC10-1 – AAC10-8, 2002
Holzer-Popp T., Schroedter-Homscheidt, M., Breitkreuz, H., Klüser, L., Martynenko, D., Synergistic aerosol retrieval from SCIAMACHY and AATSR onboard ENVISAT, Atmospheric Chemistry and Physics, 8, 7651-7672, 2008
Recommended