The tenth IMSC, Beijing, China, 2007 - International Meetings on ...
The tenth IMSC, Beijing, China, 2007 - International Meetings on ...
The tenth IMSC, Beijing, China, 2007 - International Meetings on ...
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A 50-member ensemble is produced with the ECHAM5/MPI-OM model to study<br />
dynamical modes under an increase in CO2 c<strong>on</strong>centrati<strong>on</strong>. <str<strong>on</strong>g>The</str<strong>on</strong>g> mode with the largest spatial<br />
scale is found over and in the Southern Ocean. It is essentially z<strong>on</strong>ally symmetric. An increase<br />
in CO2 c<strong>on</strong>centrati<strong>on</strong> produces a temperature increase in the Southern subtropics and<br />
c<strong>on</strong>sequently a strengthening of the meridi<strong>on</strong>al temperature gradient. <str<strong>on</strong>g>The</str<strong>on</strong>g> latter leads to<br />
changes in the midlatitude westerlies and the surface z<strong>on</strong>al wind stress. <str<strong>on</strong>g>The</str<strong>on</strong>g> wind stress<br />
changes strengthen the northward Ekman transports that transport the cold polar water into<br />
the midlatitude Southern Ocean, whereby further maintaining the meridi<strong>on</strong>al temperature<br />
gradient. <str<strong>on</strong>g>The</str<strong>on</strong>g> relati<strong>on</strong> of this mode to the Antarctic Oscillati<strong>on</strong>, the dominant Southern<br />
Hemispheric mode under the c<strong>on</strong>trol c<strong>on</strong>diti<strong>on</strong> (i.e. pre-industrial CO2 c<strong>on</strong>centrati<strong>on</strong>), is<br />
studied in the phase space spanned by the leading EOFs.<br />
Verificati<strong>on</strong> of Biomass Burning Aerosols by Using GOES-12<br />
Speaker: Jian Zeng<br />
Jian Zeng<br />
Earth Resources Technology Inc.<br />
Jian.Zeng@noaa.gov<br />
Biomass burning impacts the climate system <strong>on</strong> local, regi<strong>on</strong>al and global radiati<strong>on</strong><br />
budget. High aerosol c<strong>on</strong>centrati<strong>on</strong>s caused by biomass burning outbreaks are able to<br />
provoke damaging impact <strong>on</strong> human life. An algorithm has been developed to automatically<br />
detect aerosols and track l<strong>on</strong>g-range transport of smoke plumes associated with biomass<br />
burning. Two major schemes are applied in the algorithm, the source scheme and the pattern<br />
recogniti<strong>on</strong> scheme. This algorithm combines GOES observati<strong>on</strong>s of fire hot spots with<br />
aerosol optical depth maps in the source scheme to find the smoke aerosols most possibly<br />
caused by the fire sources. Sec<strong>on</strong>dly apply the pattern recogniti<strong>on</strong> technique to identify smoke<br />
plumes that drifted away from the source regi<strong>on</strong>. Once the optical depths due to smoke<br />
aerosols are separated from other types of aerosols, they are c<strong>on</strong>verted to smoke<br />
c<strong>on</strong>centrati<strong>on</strong>s using mass extincti<strong>on</strong> coefficient of 7.8 m2/g and assuming that aerosols are<br />
c<strong>on</strong>fined to the lowest 5 km of the atmosphere. <str<strong>on</strong>g>The</str<strong>on</strong>g> algorithm was applied to the biomass<br />
burning episodes during September 1-15, 2006 and evaluated using Oz<strong>on</strong>e M<strong>on</strong>itoring<br />
Instrument (OMI) absorpti<strong>on</strong> aerosol optical depth product and HYSPLIT model analysis. We<br />
will present algorithm descripti<strong>on</strong>, evaluati<strong>on</strong>, and its potential impact <strong>on</strong> climate.<br />
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