Time Variability of Chemical Species in Mt. Lemmon Aerosol using Principal Component Analysis - PowerPoint PPT Presentation

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Time Variability of Chemical Species in Mt. Lemmon Aerosol using Principal Component Analysis

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Description of the Data (I)? Matichuk et al., 2006. mass concentration ... Betterton E., Hori M., Murao N., Ohta S., Ward D.: 'A Decade of Aerosol and Gas ... – PowerPoint PPT presentation

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Title: Time Variability of Chemical Species in Mt. Lemmon Aerosol using Principal Component Analysis


1
Time Variability of Chemical Species in Mt.
LemmonAerosol using Principal Component Analysis
  • Anna Wonaschütz
  • ATMO 529 Class Project
  • Dec. 3rd, 2007

2
Description of the Data (I)?
  • Matichuk et al., 2006
  • mass concentration (monthly averages) of
  • 8 chemical species in aerosols
  • 4 aerosol precursor gases
  • PM2.0
  • time range Sept. 1992 - Apr. 2003
  • location Mt. Lemmon, AZ

3
Location
  • Mt. Lemmon, elevation 2791 m/9157 ft
  • winter (NDJF) summit in free troposphere
    (clean, continental air masses)?
  • summer(MJJA) summit in planetary boundary
    layer
  • fall (SO) and spring (MA) boundary layer depth
    varies
  • Shaw, 2007, Philippin Betterton, 1997

4
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5
Location
  • Mt. Lemmon, elevation 2791 m/9157 ft
  • winter (NDJF) summit in free troposphere
    (clean, continental air masses)?
  • summer(MJJA) summit in planetary boundary
    layer
  • fall (SO) and spring (MA) boundary layer depth
    varies
  • Shaw, 2007, Philippin Betterton, 1997

6
Description of the Data (II)?
  • Aerosol (PM2.0)
  • sulfate (SO42-), nitrate (NO3-), chloride (Cl-),
    sodium (Na), ammonium (NH4), calcium (Ca2),
    elemental carbon (EC), organic carbon (OC)?
  • precursor gases
  • ammonia (NH3), nitric acid (HNO3), sulfuric acid
    (H2SO4, proxy for SO2), hydrochloric acid (HCl)?

7
Description of the Data (III)?
  • Summary of results from Matichuk et al., 2006
  • 1. all species show a strong seasonal dependence
  • 2. trends - OC, Cl- and Na insignificant
  • - NH3, SO42-, NH4, SO2 negative
  • - all other species positive

8
Analysis Method
  • PCA using SVD
  • U...principal components (derived variables)?
  • S...singular values (square root of eigenvalues)?
  • V...EOF's (eigenvectors of the correlation
    matrix)?
  • 1st PC timeseries that represents most of the
    variability of the original dataset, i.e. the
    timeseries of the chemical species
  • EOF's contribution of the PC to each species

data USV
9
Data Preparation
  • units
  • mg/m3 (aerosol), ppbv (gases) standardize
  • gaps
  • gap in one chemical species eliminate those
    months for all other species

10
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11
  • 53 variance explained

12
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13
  • 15.5 variance explained

14
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15
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16
References
  • Matichuk R., Barbaris B., Betterton E., Hori M.,
    Murao N., Ohta S., Ward D. A Decade of Aerosol
    and Gas Precursor Chemical Characterization at
    Mt. Lemmon, Arizona (1992 to 2002), Journal of
    the Meteorological Society of Japan, Vol. 84,
    No.4, 2006
  • Philippin S., Betterton E.A. Cloud Condensation
    Nuclei Concentrations in Southern Arizona
    Instrumentation and Early Observations,
    Atmospheric Research 43 (3), 1997
  • J.H. Seinfeld S.N. Pandis Atmospheric
    Chemistry and Physics, 2nd edition, 2006, John
    Wiley Sons, Inc.
  • Shaw G. Aerosols at a mountaintop observatory
    in Arizona, Journal of Geophysical Research,
    Vol. 112, 2007
  • D.S. Wilks Statistical Methods in the
    Atmospheric Sciences, 2nd edition, 2006, Elsevier
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