validation of omi and sciamachy tropospheric no 2 columns using dandelions ground-based data
DESCRIPTION
Validation of OMI and SCIAMACHY tropospheric NO 2 columns using DANDELIONS ground-based data J. Hains 1 , H. Volten 2 , F. Boersma 1 , F. Wittrock 3 , A. Richter 3 , T.Wagner 4 , M. Van Roozendael 5 , R. Dirksen 1 , M. Kroon 1 , and P. Levelt 1 - PowerPoint PPT PresentationTRANSCRIPT
Validation of OMI and SCIAMACHY tropospheric NO2 columns using
DANDELIONS ground-based data
J. Hains1, H. Volten2, F. Boersma1, F. Wittrock3, A. Richter3, T.Wagner4, M. Van Roozendael5, R. Dirksen1,
M. Kroon1, and P. Levelt1
1. KNMI, De Bilt, The Netherlands, contact:hains@knmi2. RIVM, Bilthoven, The Netherlands
3. University of Bremen, Bremen, Germany4. Max-Planck Institute for Chemistry
5. BIRA-IASB, Brussels, Belgium
OMI Science Team Meeting June 25, 2008
Outline
• Describe tropospheric NO2 observations.• Comparisons among ground based
instruments.• Compare ground based instruments with
satellite.• Investigate influence of measurements on OMI
tropospheric NO2 retrieval. • Introduce possible NO2 instrument comparison
– Summer 2009
Dutch Aerosol and Nitrogen Dioxide Experiments for vaLIdation of OMI and SCIAMACHY
DANDELIONS 2006
• Time 8-13 and 20-22 September 2006.
• Conditions Clear skies and fair weather, Cabauw The Netherlands.
• Ground based instruments 3 MAXDOAS (BIRA, University of Bremen and University of Heidelberg), RIVM lidar profiles and in-situ concentrations from chemiluminescence instruments at surface and on top of 200 m tower.
– RIVM aerosol lidar observed the planetary boundary layer height (PBL).
– Ground based instruments sample different directions.
• Satellites OMI and SCIAMACHY DOMINO products.
Cabauw
industry
industry
Clean air
CESAR
The Site
industry
PBL
In-situ MAX
DOASLidar
Scattering
Conc. (7 altitudes) + PBL height (aerosol lidar) VCpbl
OMI and SCIAMACHY DOMINOTropospheric NO2 vertical column (VCt)
SCIAMACHY pixel size 30x60 km2.OMI pixel size 13x24 km2 (nadir). VCt = VCpbl + VCft
Concentration (0, 200 m) + PBL height (aerosol lidar) VCpbl
Slant column + geo AMF VCt
Comparisons among ground
based instruments
1:1
1:1
Comparisons among ground
based instruments
1:1
1:1 In-situ observes more NO2 than lidar NOy bias (PAN, HNO3 etc.)
1:1Comparisons among ground
based instruments
1:1 Comparisons are good (instruments sample different directions).
MAXDOAS observes more NO2 than lidar in lidar integration free tropospheric NO2 = 0.
Comparisons with satellite
Comparisons are good considering differences in spatial and temporal resolution.
+ pixel size <650 km2
+ pixel size > 650 km2
+ SCIAMACHY
1:1
1:1
1:1
1:1Comparisons with satellite
+ pixel size <650 km2
+ pixel size > 650 km2
+ SCIAMACHY
1:1
3 MAXDOAS, lidar and in-situ
+ pixel size <650 km2
+ pixel size > 650 km2
+ SCIAMACHY
OMI and SCIAMACHY DOMINO products are within 33% of ground based observations.
Plausible explanations for the difference
• MAXDOAS and satellite use different AMF.
• In-situ has positive bias due to NOy interference.
• OMI and SCIAMACHY are affected by clouds.
• Satellite observations represent a large ground pixel (e.g. OMI nadir pixel is 13 x 24 km2) while ground-based observations are point measurements.
• Ground based instruments have not been thoroughly compared with each other or compared with in-situ aircraft profiles - plan for future campaign.
Level 1B Slant column NO2
Stratospheric Slant column
NO2
Tropospheric Slant column
NO2
Stratospheric Vertical
column NO2
Tropospheric Vertical
column NO2
TM4-DOMINO
AMF Strat AMF Trop
• TM4- global chemistry transport model run with assimilated OMI products
• TM4 produces NO2 profiles
• These NO2 profiles are used to calculate AMFs (air mass factors).
OMI tropospheric NO2 algorithmTM4-
DOMINO
TM4-DOMINO
Can we improve the algorithm ?
• Examine a-priori profile shape in TM4 model.
• Compare TM4 profile with lidar profile
• How does NO2 change with revised AMF.
Steps to Compare lidar with TM4 NO2
1. Interpolate/Extrapolate Lidar.
2. Regrid observation to 1hpa grid.
3. Integrate NO2 between TM4 levels partial columns.
OMI (original and revised AMF) and average ground based NO2 observations.
Small changes.
TM4 profiles are good assumptions.
0.E+00
1.E+16
2.E+16
3.E+16
0.E+00 1.E+16 2.E+16 3.E+16Average ground based NO2 (molecules cm-2)
OM
I NO
2 (m
ole
cu
les
cm
-2)
original
1:1
r = .76
Statistics for comparisons
Percent difference
standard deviation
Correlation coefficient
Original 36% 29% 0.76
Revised 35% 30% 0.77
0.E+00
1.E+16
2.E+16
3.E+16
0.E+00 1.E+16 2.E+16 3.E+16
Average ground based NO2 (molecules cm-2)
OM
I NO
2 (m
ole
cu
les
cm
-2)
original
revised
1:1
r = .77
OMI pixel width < 50 km
0.E+00
1.E+16
2.E+16
3.E+16
20060908 20060909 20060910 20060911 20060912 20060921
Date
NO
2 (
mo
lecu
les
cm-2
)
OMI (original AMF)
OMI (revised AMF)
average ground based
Compare TM4 and lidar profiles
TM4 NO2 peaks at lower level than lidar.
OMI less sensitive to original TM4 profile.
AMF is too small.
OMI NO2 is too large.
Conclusions
• Ground based NO2 instruments compare well with each other (r ~ .6).
• OMI and SCIAMACHY (DOMINO) compare well with average ground based NO2 (within 33%).
• Comparisons among instruments are good considering the differences in retrieval techniques and temporal and spatial resolution.
• These results are fair weather biased.
• Including lidar tropospheric NO2 profiles in the AMF calculation did not affect the AMF TM4 profiles are good assumptions.
Tentative plans for CEOS/GEOMON NO2 instrument comparison
Possible Goals:
• Surface campaign (like DANDELIONS)
• ~15 instruments (MAXDOAS, lidar and in-situ monitors).
– NDACC blind test.
• Observations support OMI and SCIAMACHY validation.
• 1st part - compare instruments.
• 2nd part - move the instruments to sites wihtin a pixel.
Improve understanding of NO2 variability in the area of a satellite pixel.
Location: Europe, possibly Cabauw, The Netherlands
When: Summer 2009
Participants: Europe, N. America, Asia
+ pixel size <650 km2
+ pixel size > 650 km2
+ SCIAMACHY
Operational
DOMINO
Comparisons with DOMINOPercent
differenceStandard deviation Slope
Correlation coefficient (r)
Number of pixels
Validation days 33% 32% 0.8 0.8 19
Validation days with small pixels 24% 26% 1.3 0.9 7
Comparisons with Standard productPercent
differenceStandard deviation Slope
Correlation coefficient (r)
Number of pixels
Validation days 33% 27% 0.7 0.8 19Validation days with small pixels 28% 21% 0.9 0.8 6
Compare TM4 with lidar
profile
Compare TM4 with lidar profile
Lidar profile measurements
1sin ( ) 1off zen
trop
SCD SCDVC
LOS
MAXDOAS Tropospheric NO2 VCD retrieved using geometric AMF
NO2 layer LOS
SCDoff
SCDzen