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@comment{{This file has been generated by bib2bib 1.95}}
@comment{{Command line: /usr/bin/bib2bib --quiet -c 'not journal:"Discussions"' -c 'not journal:"Polymer Science"' -c '  author:"Boucher"  ' -c year=2008 -c $type="ARTICLE" -oc lmd_Boucher2008.txt -ob lmd_Boucher2008.bib /home/WWW/LMD/public/}}
  author = {{Verma}, S. and {Venkataraman}, C. and {Boucher}, O.},
  title = {{Origin of surface and columnar Indian Ocean Experiment (INDOEX) aerosols using source- and region-tagged emissions transport in a general circulation model}},
  journal = {Journal of Geophysical Research (Atmospheres)},
  keywords = {Atmospheric Composition and Structure: Aerosols and particles (0345, 4801, 4906), Atmospheric Composition and Structure: Pollution: urban and regional (0305, 0478, 4251), Atmospheric Composition and Structure: Troposphere: constituent transport and chemistry, source- and region-tagged emissions, natural and anthropogenic sources, intercontinental incursion},
  year = 2008,
  month = dec,
  volume = 113,
  number = d12,
  eid = {D24211},
  pages = {24211},
  abstract = {{We study the relative influence of aerosols emitted from different
sectors and geographical regions on aerosol loading in south Asia.
Sectors contributing aerosol emissions include biofuel and fossil fuel
combustion, open biomass burning, and natural sources. Geographical
regions include India (the Indo-Gangetic plain, central India, south
India, and northwest India), southeast Asia, east Asia, Africa-west
Asia, and the rest of the world. Simulations of the Indian Ocean
Experiment (INDOEX), from January to March 1999, are made in the general
circulation model of Laboratoire de Météorologie Dynamique
(LMD-ZT GCM) with emissions tagged by sector and geographical region.
Anthropogenic emissions dominate (54-88\%) the predicted aerosol optical
depth (AOD) over all the receptor regions. Among the anthropogenic
sectors, fossil fuel combustion has the largest overall influence on
aerosol loading, primarily sulfate, with emissions from India (50-80\%)
and rest of the world significantly influencing surface concentrations
and AOD. Biofuel combustion has a significant influence on both the
surface and columnar black carbon (BC) in particular over the Indian
subcontinent and Bay of Bengal with emissions largely from the Indian
region (60-80\%). Open biomass burning emissions influence organic matter
(OM) significantly, and arise largely from Africa-west Asia. The
emissions from Africa-west Asia affect the carbonaceous aerosols AOD in
all receptor regions, with their largest influence (AOD-BC: 60\%; and
AOD-OM: 70\%) over the Arabian Sea. Among Indian regions, the
Indo-Gangetic Plain is the largest contributor to anthropogenic surface
mass concentrations and AOD over the Bay of Bengal and India. Dust
aerosols are contributed mainly through the long-range transport from
Africa-west Asia over the receptor regions. Overall, the model estimates
significant intercontinental incursion of aerosol, for example, BC, OM,
and dust from Africa-west Asia and sulfate from distant regions (rest of
the world) into the INDOEX domain.
  doi = {10.1029/2007JD009538},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Morcrette}, J.-J. and {Beljaars}, A. and {Benedetti}, A. and 
	{Jones}, L. and {Boucher}, O.},
  title = {{Sea-salt and dust aerosols in the ECMWF IFS model}},
  journal = {\grl},
  keywords = {Atmospheric Composition and Structure: Aerosols and particles (0345, 4801, 4906), Global Change: Earth system modeling (1225), Atmospheric Processes: Data assimilation},
  year = 2008,
  month = dec,
  volume = 35,
  eid = {L24813},
  pages = {24813},
  abstract = {{The ECMWF IFS model has recently been modified to include prognostic
aerosols in its analysis and forecast modules. For the sea salt and dust
components, comparisons of three versions of the model are presented:
(i) a forecast only model started from conventional analysis with
free-running aerosols, (ii) a full analysis including aerosols, and
(iii) as in (i) but with sea salt and dust sources revised to account
for the 10-m wind including gustiness and calibrated on the aerosol
analysis results. It is shown that this new formulation of the sources
of the main natural aerosols gives an improved agreement with AERONET
surface observations where sea salt and dust aerosols are dominant. It
also shows how the information brought by the aerosol analysis can be
used to improve the representation of aerosols in numerical weather
prediction and climate-type general circulation models.
  doi = {10.1029/2008GL036041},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Quaas}, J. and {Boucher}, O. and {Bellouin}, N. and {Kinne}, S.
  title = {{Satellite-based estimate of the direct and indirect aerosol climate forcing}},
  journal = {Journal of Geophysical Research (Atmospheres)},
  keywords = {Atmospheric Processes: Clouds and aerosols, Atmospheric Composition and Structure: Aerosols and particles (0345, 4801, 4906), Atmospheric Composition and Structure: Cloud/radiation interaction, Global Change: Remote sensing (1855), Atmospheric Processes: Climate change and variability (1616, 1635, 3309, 4215, 4513)},
  year = 2008,
  month = mar,
  volume = 113,
  eid = {D05204},
  pages = {5204},
  abstract = {{The main uncertainty in anthropogenic forcing of the Earth's climate
stems from pollution aerosols, particularly their ``indirect effect''
whereby aerosols modify cloud properties. We develop a new methodology
to derive a measurement-based estimate using almost exclusively
information from an Earth radiation budget instrument (CERES) and a
radiometer (MODIS). We derive a statistical relationship between
planetary albedo and cloud properties, and, further, between the cloud
properties and column aerosol concentration. Combining these
relationships with a data set of satellite-derived anthropogenic aerosol
fraction, we estimate an anthropogenic radiative forcing of -0.9 +/- 0.4
Wm$^{-2}$ for the aerosol direct effect and of -0.2 +/- 0.1
Wm$^{-2}$ for the cloud albedo effect. Because of uncertainties in
both satellite data and the method, the uncertainty of this result is
likely larger than the values given here which correspond only to the
quantifiable error estimates. The results nevertheless indicate that
current global climate models may overestimate the cloud albedo effect.
  doi = {10.1029/2007JD008962},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Hollingsworth}, A. and {Engelen}, R.~J. and {Textor}, C. and 
	{Benedetti}, A. and {Boucher}, O. and {Chevallier}, F. and {Dethof}, A. and 
	{Elbern}, H. and {Eskes}, H. and {Flemming}, J. and {Granier}, C. and 
	{Kaiser}, J.~W. and {Morcrette}, J.-J. and {Rayner}, P. and 
	{Peuch}, V.-H. and {Rouil}, L. and {Schultz}, M.~G. and {Simmons}, A.~J.
  title = {{Toward a Monitoring and Forecasting System For Atmospheric Composition: The GEMS Project}},
  journal = {Bulletin of the American Meteorological Society},
  year = 2008,
  volume = 89,
  pages = {1147},
  doi = {10.1175/2008BAMS2355.1},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Woodhouse}, M.~T. and {Mann}, G.~W. and {Carslaw}, K.~S. and 
	{Boucher}, O.},
  title = {{New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei}},
  journal = {Atmospheric Environment},
  year = 2008,
  volume = 42,
  pages = {5728-5730},
  doi = {10.1016/j.atmosenv.2008.05.005},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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