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Author
McNaught, C.
Title
The Increasing Intensity and Frequency of ENSO and its Impacts to the Southeast U.S.
Type
$loc['typeManuscript']
Year
2014
Publication
Abbreviated Journal
Volume
Issue
Pages
Keywords
ENSO ; El-Nino ; climate ; meteorology ; southeast climate ; weather ; time series ; sea-surface temperatures ; La-Nina
Abstract
Address
Department of Earth, Ocean and Atmospheric Science
Corporate Author
Thesis
$loc['Bachelor's thesis']
Publisher
Florida State University
Place of Publication
Tallahassee, FL
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
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Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
165
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Author
Venugopal, T. ; Ali, M.M. ; Bourassa, M.A. ; Zheng, Y. ; Goni, G.J. ; Foltz, G.R. ; Rajeevan, M.
Title
Statistical Evidence for the Role of Southwestern Indian Ocean Heat Content in the Indian Summer Monsoon Rainfall
Type
$loc['typeJournal Article']
Year
2018
Publication
SCIENTIFIC REPORTS
Abbreviated Journal
Sci Rep
Volume
8
Issue
1
Pages
12092
Keywords
SEA-SURFACE TEMPERATURE ; EL-NINO ; EQUATORIAL PACIFIC ; IMPACT ; PREDICTION ; ENSO ; DIPOLE ; REGION ; SST
Abstract
This study examines the benefit of using Ocean Mean Temperature (OMT) to aid in the prediction of the sign of Indian Summer Monsoon Rainfall (ISMR) anomalies. This is a statistical examination, rather than a process study. The thermal energy needed for maintaining and intensifying hurricanes and monsoons comes from the upper ocean, not just from the thin layer represented by sea surface temperature (SST) alone. Here, we show that the southwestern Indian OMT down to the depth of the 26 degrees C isotherm during January-March is a better qualitative predictor of the ISMR than SST. The success rate in predicting above- or below-average ISMR is 80% for OMT compared to 60% for SST. Other January-March mean climate indices (e.g., NINO3.4, Indian Ocean Dipole Mode Index, El Nino Southern Oscillation Modoki Index) have less predictability (52%, 48%, and 56%, respectively) than OMT percentage deviation (PD) (80%). Thus, OMT PD in the southwestern Indian Ocean provides a better qualitative prediction of ISMR by the end of March and indicates whether the ISMR will be above or below the climatological mean value.
Address
Ministry of Earth Sciences, Government of India, New Delhi, India
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
English
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2045-2322
ISBN
Medium
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Funding
strtoupper('3').strtolower('0108244'); strtoupper('P').strtolower('MC6092415')
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
972
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