validation, day of week and seasonal perspectives on satellite no 2 ronald c. cohen uc berkeley
TRANSCRIPT
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Validation, Day of Week and Seasonal Perspectives on Satellite NO2
Ronald C. CohenUC Berkeley
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• We need to become the AQ community and they need to be integrated with us. As long as it is “us” and “them” we are failing.
• To date the “AQ” data has been best digested by colleagues in a position to look at the whole globe. There has been relatively little work that takes advantage of the daily coverage or high spatial resolution.
• The California Air Resources Board is supporting use of OMI to identify strategies for producing high spatial resolution NOx inventories with day-of-week information.
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In situ measurements of NO2 profiles
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Winter Summer
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INTEX-A DC-8
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NO2 Satellite Comparison
MILAGROFlight #3 March 2006
See papers by
Bucsela et al.Boersma et al.
in Aura special issue of JGR
Profiles available in an excel spreadsheet, send me an e-mail
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CARB Sites Measuring NO and O3
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0 5 10 15 20 25 300
5
10
15
20
25
30
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Spring 2005
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 5 10 15 20 25 300
5
10
15
20
25
30
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Winter 2005
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 5 10 15 20 25 300
5
10
15
20
25
30
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Summer 2005
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 5 10 15 20 25 30-5
0
5
10
15
20
25
30
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Fall 2005
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
CARB NO2 PSS and OMI Site 2125—Redwood City (near San Francisco)
30
30
Fall
Winter
Spring
Summer
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0 2 4 6 8 10 12 140
2
4
6
8
10
12
14
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Winter 2005
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 2 4 6 8 10 12 140
2
4
6
8
10
12
14
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Spring 2005
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 2 4 6 8 10 12 140
2
4
6
8
10
12
14
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Summer 2005
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 2 4 6 8 10 12 140
2
4
6
8
10
12
14
CARB SS NO2 (ppb)
OM
I N
O2
(ppb
)
Fall 2005
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
CARB NO2 PSS and OMI Site 2143 UC Davis
14
14
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“Rural” California = cyan winter average < 2E15 mol NO2 cm-2
“Sub-Urban” California = yellow 2E15 < winter average < 5E15 mol NO2 cm-2
“Urban” California = red winter average > 5E15 mol NO2 cm-2
Winter (DEC/JAN/FEB) 2006
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Spring
Sun Weds Sat
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Summer
Sun Weds Sat
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1 2 3 4 5 6 7
2
4
6
8
10
12
14
16NO2 Averaged by Day of the Week for Fall04-05 Site 2013
Day of the Week
NO
2 (p
pbv)
CARB
OMI
1 2 3 4 5 6 7
2
4
6
8
10
12
14
16NO2 Averaged by Day of the Week for Winter04-05 Site 2013
Day of the Week
NO
2 (p
pbv)
CARB
OMI
1 2 3 4 5 6 7
2
4
6
8
10
12
14
16NO2 Averaged by Day of the Week for Spring04-05 Site 2013
Day of the Week
NO
2 (p
pbv)
CARB
OMI
1 2 3 4 5 6 7
2
4
6
8
10
12
14
16NO2 Averaged by Day of the Week for Summer04-05 Site 2013
Day of the Week
NO
2 (p
pbv)
CARB
OMI
Day of the Week Variation by Season OMI
Winter
Summer
Spring
Fall
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Fitting to an emissions inventory that doesn’t vary by day of week introduces a bias (and one that will be different for models with large pixels sizes (sizes large compared to NO2) than models with small pixel sizes.
OH depends on NO2 and therefore the NO2 lifetime depends on NO2.
Also NO2 + O3 can contribute—especially in winter and this rate is maximum when NO2 = O3 and will be underestimated in large scale models.
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Concentrations of HOx
Fixed VOC Reactivity and PHOx
50 km
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Satellite Constraints on Soil NOx Emissions
Bertram et al., Geophys. Res. Let., 2005
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Soil NOx Emissions
Bertram et al., Geophys. Res. Let., 2005
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Urban Emissions
Winter
Summer
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Rural locations: Agricultural Emissions&Lightning
Winter
Summer
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Summer Rural Pixels
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Conclusions/Ideas
• NO/NO2 photostationary state is likely a more accurate way to calculate surface NO2 from the monitoring network than using a model of NOz. In any case it is model independent and preserves some separation between data and models.
•OH and NO2 are strongly coupled on spatial scales of a single OMI/SCIA/GOME-II pixel.
• Day of week variation can teach us a lot about sources and the quality of retrievals—since some factors are not strongly correlated with day of week; AMFs, stratosphere, etc.
•Seasonal variations provide strong hints about soil emissions. More analysis of mechanisms needed.
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Thanks to Jim Gleason, Eric Buscela, Folkert Boersma, Andreas Richter, John Burrows
Funding from NASA Tropospheric Chemistry Program and California Air Resources Board