lmd_Bonazzola2001.bib
@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:"Bonazzola" ' -c year=2001 -c $type="ARTICLE" -oc lmd_Bonazzola2001.txt -ob lmd_Bonazzola2001.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{2001JGR...10628113B,
author = {{Bonazzola}, M. and {Picon}, L. and {Laurent}, H. and {Hourdin}, F. and
{SèZe}, G. and {Pawlowska}, H. and {Sadourny}, R.},
title = {{Retrieval of large-scale wind divergences from infrared Meteosat-5 brightness temperatures over the Indian Ocean}},
journal = {\jgr},
keywords = {Meteorology and Atmospheric Dynamics: Convective processes, Meteorology and Atmospheric Dynamics: General circulation, Meteorology and Atmospheric Dynamics: Numerical modeling and data assimilation, Meteorology and Atmospheric Dynamics: Tropical meteorology},
year = 2001,
month = nov,
volume = 106,
pages = {28113},
abstract = {{Over the tropics the atmospheric general circulation models usually fail
in predicting horizontal wind divergence, which is closely related to
atmospheric heating and to the vertical exchanges associated with
convection. With the aim of forcing atmospheric models we present here a
reconstruction of wind divergences based on the links between infrared
brightness temperatures, convective activity, and large-scale
divergence. In practice, wind divergences are reconstructed from
brightness temperatures using correlations obtained from numerical
simulations performed with a general circulation model. When building
those correlations, a distinction must be made between the brightness
temperatures of opaque clouds and those of semitransparent clouds, only
the former being directly associated with convection. In order to filter
out semitransparent clouds we use radiative thresholds in the water
vapor channel in addition to the window channel. We apply our approach
to Meteosat-5 data over the Indian Ocean. Comparison with wind
divergences reconstructed independently from Meteosat water vapor winds
partially validates our retrieval. Comparison with European Center for
Medium-Range Weather Forecasts analyses indicates that much can be
gained by adding information on the wind divergence in the tropics to
force an atmospheric model.
}},
doi = {10.1029/2000JD900690},
adsurl = {http://adsabs.harvard.edu/abs/2001JGR...10628113B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2001JGR...10628427L,
author = {{Leon}, J.-F. and {Chazette}, P. and {Dulac}, F. and {Pelon}, J. and
{Flamant}, C. and {Bonazzola}, M. and {Foret}, G. and {Alfaro}, S.~C. and
{Cachier}, H. and {Cautenet}, S. and {Hamonou}, E. and {Gaudichet}, A. and
{Gomes}, L. and {Rajot}, J.-L. and {Lavenu}, F. and {Inamdar}, S.~R. and
{Sarode}, P.~R. and {Kadadevarmath}, J.~S.},
title = {{Large-scale advection of continental aerosols during INDOEX}},
journal = {\jgr},
keywords = {Atmospheric Composition and Structure: Aerosols and particles, Atmospheric Composition and Structure: Pollution-urban and regional, Atmospheric Composition and Structure: Troposphere-constituent transport and chemistry, Meteorology and Atmospheric Dynamics: Remote sensing},
year = 2001,
month = nov,
volume = 106,
pages = {28427},
abstract = {{In this paper, we present passive and active remote sensing measurements
of atmospheric aerosols over the North Indian Ocean (NIO) during the
Intensive Field Phase (IFP, January to March 1999) of the Indian Ocean
Experiment. The variability of the aerosol load over NIO is discussed
based on three-dimentional numerical simulations made at a local scale
by use of Regional Atmospheric Modeling System (RAMS) and at a regional
scale using the zoomed Laboratoire de Météorologie
Dynamique global circulation model (LMD-Z version 3.3). Ground-based
measurements of the columnar aerosol optical thickness (AOT) and of
surface black carbon (BC) concentration were carried out at two
different sites in India: Goa University on the NIO coast and Dharwar
150 km inland. Local-scale investigations point out that the trend in BC
concentration at the ground is not correlated with AOT. Lidar profiles
obtained both from the surface at Goa and in the NIO from the Mystere-20
research aircraft indicate that a significant contribution to the total
AOT (more than 50\%) is due to a turbid monsoon layer located between 1
and 3 km height. RAMS simulation shows that the advection of aerosols in
the monsoon layer is due to the conjunction of land-sea breeze and
topography. We present the regional-scale extent of the aerosol plume in
terms of AOT derived from the visible channel of Meteosat-5. During
March, most of the Bay of Bengal is overcast by a haze with a monthly
average AOT of 0.61{\plusmn}0.18, and a spatially well-defined aerosol
plume is spreading from the Indian west coast to the Intertropical
Convergence Zone with an average AOT of 0.49{\plusmn}0.08. Those values
are bigger than in February with AOT at 0.35{\plusmn}0.18 and
0.37{\plusmn}0.09 for the Bay of Bengal and the Arabian Sea,
respectively. One of the principal findings of this paper is that a
significant contribution to the aerosol load over the NIO is due to the
advection of continental aerosols from India in a well-identified
monsoon layer above the marine boundary layer. Moreover, it is suggested
that the increase in biomass burning plays a significant role in the
increasing trend in AOT during the winter dry monsoon season.
}},
doi = {10.1029/2001JD900023},
adsurl = {http://adsabs.harvard.edu/abs/2001JGR...10628427L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
