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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-10-8305-2010</article-id>
<title-group>
<article-title>Joint spatial variability of aerosol, clouds and rainfall in the Himalayas from satellite data</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shrestha</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Barros</surname>
<given-names>A. P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Pratt School of Engineering, Duke University, Durham NC 27708, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>06</day>
<month>09</month>
<year>2010</year>
</pub-date>
<volume>10</volume>
<issue>17</issue>
<fpage>8305</fpage>
<lpage>8317</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
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<self-uri xlink:href="http://www.atmos-chem-phys.net/10/8305/2010/acp-10-8305-2010.pdf">The full text article is available as a PDF file from http://www.atmos-chem-phys.net/10/8305/2010/acp-10-8305-2010.pdf</self-uri>
<abstract>
<p>Satellite-based precipitation, Aerosol Optical Depth (AOD), Cloud Optical
Depth (COD), and Aerosol Index (AI) data were used to characterize the
linkages among landform and the intra-annual variability of aerosols,
cloudiness and rainfall in the Himalayas using empirical orthogonal function
(EOF) analysis. The first modes of AOD and AI show the presence of two
branches of dust aerosol: over the Indus river basin and the Thar desert
with a sharp west-east gradient parallel to the southern slopes of the
Himalayas – the Southern Branch; and the second against the slopes of the
Tian Shan and over the Takla Makan desert in the Tibetan Plateau-the
Northern branch. The third EOF mode of AOD accounts for about 7% of
overall variance of AOD. It is attached to the foothills of the Himalayas
east of the Aravalli range peaking in April-May-June followed by a sharp
decrease in July during the first active phase of the monsoon. The first and
second EOF modes of COD and precipitation show consistent patterns against
the central and eastern Himalayas and along the ocean-land boundaries in
western India and the Bay of Bengal. The break in cloudiness and rainfall
between the winter and the monsoon seasons is captured well by the second
EOF mode of COD and rainfall concurrent with the aerosol build up mode
(April–May) over the region depicted by the third mode of AOD. The results
show that the Aravalli range separates the two different modes of aerosol
variability over northern India with dust aerosols to the west and polluted
mixed aerosols to the east consistent with its role in regional circulation
and precipitations patterns as per Barros et al. (2004) and Chiao and Barros
(2007). SVD analysis between rainfall, COD and AOD showed a pattern of
aerosol loading (resembling EOF3 of MODIS AOD) extending from 80° E~90° E
that peaks during the winter and pre-monsoon seasons and decays
abruptly during the monsoon: the regions of aerosol buildup during the
pre-monsoon season and the areas of high rainfall/cloudiness during the
monsoon are collocated and have opposite signs suggesting
aerosol-cloud-rainfall interaction. It is proposed that the third EOF of AOD
maps the area where aerosol-cloud-rainfall interactions play an important
role in the regional hydro-climatology.</p>
</abstract>
<counts><page-count count="13"/></counts>
</article-meta>
</front>
<body/>
<back>
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