12-14 September, 2011, Lucknow - Earth Science India
12-14 September, 2011, Lucknow - Earth Science India
12-14 September, 2011, Lucknow - Earth Science India
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National Conference on <strong>Science</strong> of Climate Change and <strong>Earth</strong>’s Sustainability: Issues and Challenges ‘A Scientist-People Partnership’<br />
<strong>12</strong>-<strong>14</strong> <strong>September</strong>, <strong>2011</strong>, <strong>Lucknow</strong><br />
PACIFIC NORTH AMERICA OSCILLATION AND THE<br />
INDIAN SUMMER MONSOON RAINFALL IN RELATION<br />
TO QBO<br />
R. Bhatla 1 , Hari Ghimri 1 and R.K. Mall 2<br />
1 Department of Geophysics, Banaras Hindu University, Varanasi.<br />
2 Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi.<br />
Various studies show the evidence for the variability of the pressure anomaly over<br />
North Pacific Ocean and North American region. The importance of this phenomenon<br />
in causing persistent anomalies over different regions of the globe has drawn<br />
considerable attention in view of its relevance in climate assessment. The association of<br />
the pacific north American pattern (PNA) with <strong>India</strong>n summer monsoon have been<br />
examined by considering the 53 years data from 1954-2006 by using the correlation<br />
technique for full time series as well as by grouping the data according to the easterly<br />
and westerly phase of Quasi Biennial Oscillation (QBO) at 50- hpa level. The 30-year<br />
sliding correlation coefficient also has been made to know the PNA parameter is<br />
efficient predictor of <strong>India</strong>n summer monsoon rainfall in present condition. In both<br />
cases DJFMAM, FMA, MAM and April shows the significant association with <strong>India</strong>n<br />
summer monsoon rainfall and association of these parameter is also changed according<br />
with QBO phase.<br />
DETERMINANTS OF PUBLIC AWARENESS AND<br />
ATTITUDES ON CLIMATE CHANGE OF HIGHLAND<br />
COMMUNITIES IN SIKKIM HIMALAYA – MULTIVARIATE<br />
ANALYSIS WITH LOGISTIC REGRESSION<br />
Manoranjan Mishra 1 , Vimal Khawas 2 , Amrita Singh 3 , Kausila<br />
Timsina 3 , Karma Detsen Omgu Bhutia 3 and A. BalaSuddareshwaran 3<br />
1 Department of Geography and Natural Resource Management, Sikkim University.<br />
2 School of Policy and Planning, Sikkim University.<br />
3 M.Sc. Department of Geography and Natural Resource Management, Sikkim University.<br />
email: geo.manu05@gmail.com<br />
The global environmental changes are expected to affect most the highland<br />
communities around the world which is a contested and complex environment with<br />
many conflicts of interest and challenges surrounding the use and management of<br />
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