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MAPPING OF URBAN AEROSOLS

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LOOKING AT SPATIAL VARIABILITY OF AEROSOLS IN A GEOGRAPHIC AREA ... DOES WEATHER IMPACT AEROSOL DISTRIBUTION AND AMOUNT. MultiFilter Rotating Shadow band Radiometer ... – PowerPoint PPT presentation

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Title: MAPPING OF URBAN AEROSOLS


1
MAPPING OF URBAN AEROSOLS
  • NEW YORK CITY AREA

2
AEROSOL MAPPING TEAM
  • TEAM
  • Kevin Finnerty DeWitt Clinton HS
  • Bob Gandolfo Plainedge HS
  • Monica Coronado CCNY
  • Rosenelly Perez DeWitt Clinton HS
  • Jonelle Thorpe DeWitt Clinton HS
  • With a lot of help from. . .
  • Colley Baldwin Medgar Evers
  • Brian Cairns GISS
  • Jacek Chowdhary GISS
  • Barry Gross CCNY
  • Beate Liepert Lamont Doherty
  • Fred Moshary CCNY

3
RESEARCH GOALS
  • LOOKING AT SPATIAL VARIABILITY OF AEROSOLS IN A
    GEOGRAPHIC AREA
  • ARE SUNPHOTOMETERS IN AN URBAN ENVIRONMENT
    SIGNIFICANTLY AFFECTED BY LOCAL SOURCES
  • DOES WEATHER IMPACT AEROSOL DISTRIBUTION AND
    AMOUNT

4
MultiFilter Rotating Shadow band Radiometer
  • Wavelengths
  • 413.4 nm
  • 496.6 nm
  • 614.7 nm
  • 672.2 nm
  • 869.7 nm
  • 940.7 nm

5
(No Transcript)
6
Sites
  • City College
  • Nasa Giss
  • Lamont
  • Medger Evers

7
AEROSOL OPTICAL DEPTH
  • I IO e -?/COS?
  • IO INTENSITY AT TOP OF ATMOSPHERE
  • I INTENSITY AT SURFACE
  • 1/COS? AIR MASS
  • (? cal from time/ lattitde)
  • ? OPTICAL DEPTH

8
Langley Regression
  • IIoe-m tau
  • ln I ln Io m (tau)
  • Slope tau optical depth

9
AEROSOL OPTICAL DEPTH ?AEROSOL (AOD)
  • TOTAL OPTICAL DEPTH
  • MEASURED BY SUNPHOTOMETER
  • IIoe-m tau
  • ?TOTAL (area)(particle density)(vertical
    extent)
  • RAYLEIGH SCATTERING
  • scattering of molecules ? blue sky
  • ?-4
  • AEROSOL OPTICAL DEPTH (AOD)
  • ?AEROSOL ?TOTAL - ?RAYLEIGH (- ?OZONE -
    ?WATER VAPOR )

10
METHOD OF DATA ANALYSIS
  • YESDAS ROUTINE
  • YANKEE ENVIRONMENTAL SYSTEMS
  • VERY CONSERVATIVE
  • MATLAB ROUTINE
  • IN HOUSE GENERATED
  • MORE FLEXIBLE ( 3 STANDARD DEVIATIONS)

11
SUN INTENSITY
  • NORMAL DAY
  • HAZE
  • CLOUD COVER
  • PERFECT DAY
  • NO HAZE
  • NO CLOUD COVER

12
YESDAS/MATLAB COMPARISON
13
MATLAB CODE
  • Removal of 3 SD PTS.
  • -Tau is Obtainable.
  • Raw Data
  • -Tau is undefined.

14
AEROSOL OPTICAL DEPTH - AM
  • GOOD AGREEMENT ON
  • CLEAR DAYS
  • CLOUDY DAYS

15
AEROSOL OPTICAL DEPTH - PM
16
AOD vs Wavelength
  • High AOD on July 9
  • Analyzed for change in AOD vs Wavelength

17
Windspeed and AOD
18
OBSERVATIONS
  • SITES VERY SIMILAR ON CLEAR DAYS
  • AEROSOL OPTICAL DEPTH DOES NOT APPEAR TO BE
    DOMINATED BY LOCALIZED SOURCES
  • AOD MAY TRACK WITH AIR PRESSURE/WIND
  • AOD INCREASES _at_ CCNY ON CALM DAYS
  • OTHER ISSUES
  • LOCAL CIRCULATION
  • SOURCE OF AIR MASS
  • EFFECTS OF CONTRAILS OF CLOUDS
  • LOCAL WEATHER

19
SPECTRAL SLOPE 7/15/01 AM
  • CCNY ? .86
  • MEDGER ? .78
  • LAMONT ? .67
  • LARGER AEROSOLS

20
SPECTRAL SLOPE 7/16/01 AM
  • CCNY ? .98
  • MEDGER ? 1.47
  • LAMONT ? .82
  • SMALL AEROSOLS

21
CONCLUSIONS
  • AOD TRACKS FOR ALL SITES
  • ALL INCREASE /DECREASE
  • PARTICLE SIZE VARIATION FROM DAY TO DAY
  • AOD TRACKS WITH AIR PRESSURE
  • AOD INCREASES _at_ CCNY ON CALM DAYS
  • LIMITED DATA SET
  • ONLY A FEW GOOD DAYS
  • WOULD LIKE MORE WIDELY SEPARATED SITES

22
FUTURE WORK
  • INCLUDE SITES FURTHER FROM NYC
  • ALBANY
  • GLENN FALLS
  • BROOKHAVEN NATIONAL LAB
  • INCLUDE MORE DETAILED WEATHER ANALYSIS
  • USE A LARGER DATA SET
  • WEEKS/ MONTHS
  • FALL / SPRING
  • INCLUDE DATA ON SINGLE SCATTERING ALBEDO OR
    AMOUNT OF SOOT
  • ? URBAN ORIGIN
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