NASA Scientific and Technical Aerospace Reports
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NASA Scientific and Technical Aerospace Reports
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for an artificial offset likely induced by spectral structure on the diffuser plate of the GOME instrument. The stratospheric<br />
column is determined from NO2 columns over the remote Pacific Ocean to minimize contamination from tropospheric NO2.<br />
The air mass factor (AMF) used to convert slant columns to vertical columns is calculated from the integral of the relative<br />
vertical NO2 distribution from a global 3-D model of tropospheric chemistry driven by assimilated meteorological data<br />
(Global Earth Observing System (GEOS)-CHEM), weighted by altitude dependent scattering weights computed with a<br />
radiative transfer model (Linearized Discrete Ordinate Radiative Transfer), using local surface albedos determined from<br />
GOME observations at NO2 wavelengths. The AMF calculation accounts for cloud scattering using cloud fraction, cloud top<br />
pressure, <strong>and</strong> cloud optical thickness from a cloud retrieval algorithm (GOME Cloud Retrieval Algorithm). Over continental<br />
regions with high surface emissions, clouds decrease the AMT by 20- 30% relative to clear sky. GOME is almost twice as<br />
sensitive to tropospheric NO2 columns over ocean than over l<strong>and</strong>. Comparison of the retrieved tropospheric NO2 columns for<br />
July 1996 with GEOS-CHEM values tests both the retrieval <strong>and</strong> the nitrogen oxide radical (NOx) emissions inventories used<br />
in GEOS-CHEM. Retrieved tropospheric NO2 columns over the USA, where NOx emissions are particularly well known, are<br />
within 18% of GEOS-CHEM columns <strong>and</strong> are strongly spatially correlated (r = 0.78, n = 288, p less than 0.005). Retrieved<br />
columns show more NO2 than GEOS-CHEM columns over the Transvaal region of South Africa <strong>and</strong> industrial regions of the<br />
northeast USA <strong>and</strong> Europe. They are lower over Houston, India, eastern Asia, <strong>and</strong> the biomass burning region of central Africa,<br />
possibly because of biases from absorbing aerosols.<br />
Author<br />
Retrieval; Stratosphere; Nitrogen Dioxide; Atmospheric Chemistry; Meteorological Parameters<br />
20040111406 Harvard Univ., Cambridge, MA, USA<br />
Interannual <strong>and</strong> Seasonal Variability of Biomass Burning Emissions Constrained by Satellite Observations<br />
Duncan, Bryan N.; Martin, R<strong>and</strong>all V.; Staudt, Am<strong>and</strong>a C.; Yevich, Rosemarie; Logan, Jennifer A.; Journal of Geophysical<br />
Research; 2003; ISSN 0148-0227; Volume 109, No. D2, pp. 1-1 - 1-22; In English<br />
Contract(s)/Grant(s): NAG1-2307; NSF ATM-99-03529; Copyright; Avail: Other Sources<br />
We present a methodology for estimating the seasonal <strong>and</strong> interannual variation of biomass burning designed for use in<br />
global chemical transport models. The average seasonal variation is estimated from 4 years of fire-count data from the Along<br />
Track Scanning Radiometer (ATSR) <strong>and</strong> 1-2 years of similar data from the Advanced Very High Resolution Radiometer<br />
(AVHRR) World Fire Atlases. We use the Total Ozone Mapping Spectrometer (TOMS) Aerosol Index (AI) data product as<br />
a surrogate to estimate interannual variability in biomass burning for six regions: Southeast Asia, Indonesia <strong>and</strong> Malaysia,<br />
Brazil, Central America <strong>and</strong> Mexico, Canada <strong>and</strong> Alaska, <strong>and</strong> Asiatic Russia. The AI data set is available from 1979 to the<br />
present with an interruption in satellite observations from mid-1993 to mid-1996; this data gap is filled where possible with<br />
estimates of area burned from the literature for different regions. Between August 1996 <strong>and</strong> July 2000, the ATSR fire-counts<br />
are used to provide specific locations of emissions <strong>and</strong> a record of interannual variability throughout the world. We use our<br />
methodology to estimate mean seasonal <strong>and</strong> interannual variations for emissions of carbon monoxide from biomass burning,<br />
<strong>and</strong> we find that no trend is apparent in these emissions over the last two decades, but that there is significant interannual<br />
variability.<br />
Author<br />
Biomass Burning; Emission; Aerosols; Atmospheric Composition; Carbon Monoxide<br />
20040111407 Harvard Univ., Cambridge, MA, USA<br />
Sources of Tropospheric Ozone along the Asian Pacific Rim: An Analysis of Ozonesonde Observations<br />
Liu, Hong-Yu; Jacob, Daniel J.; Chan, Lo Yin; Oltmans, Samuel J.; Bey, Isabelle; Yantosca, Robert M.; Harris, Joyce M.;<br />
Duncan, Bryan N.; Martin, R<strong>and</strong>all V.; Journal of Geophysical Research; 2002; ISSN 0148-0227; Volume 107, No. D21,<br />
pp. 3-1 - 3-16; In English; Original contains color <strong>and</strong> black <strong>and</strong> white illustrations<br />
Contract(s)/Grant(s): NAG1-2307; Copyright; Avail: Other Sources<br />
The sources contributing to tropospheric ozone over the Asian Pacific Rim in different seasons are quantified by analysis<br />
of Hong Kong <strong>and</strong> Japanese ozonesonde observations with a global three-dimensional (3-D) chemical transport model<br />
(GEOS-CHEM) driven by assimilated meteorological observations. Particular focus is placed on the extensive observations<br />
available from Hong Kong in 1996. In the middle-upper troposphere (MT- UT), maximum Asian pollution influence along the<br />
Pacific Rim occurs in summer, reflecting rapid convective transport of surface pollution. In the lower troposphere (LT) the<br />
season of maximum Asian pollution influence shifts to summer at midlatitudes from fall at low latitudes due to monsoonal<br />
influence. The UT ozone minimum <strong>and</strong> high variability observed over Hong Kong in winter reflects frequent tropical<br />
intrusions alternating with stratospheric intrusions. Asian biomass burning makes a major contribution to ozone at less than<br />
32 deg.N in spring. Maximum European pollution influence (less than 5 ppbv) occurs in spring in the LT. North American<br />
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