Equatorial East Indian Ocean sea surface temperature: A new predictor for seasonal and annual rainfall
Here we examine the relationship of both the all India annual rainfall (AIAR) and the Indian southwest monsoon rainfall (ISWMR) with global sea ice sea surface temperature of the equatorial (EQ) East Indian Ocean along the grid 5S–5N, 85E–95E. A strong positive correlation (99%) exists between the A...
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Veröffentlicht in: | Current science (Bangalore) 2003-12, Vol.85 (11), p.1600-1604 |
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description | Here we examine the relationship of both the all India annual rainfall (AIAR) and the Indian southwest monsoon rainfall (ISWMR) with global sea ice sea surface temperature of the equatorial (EQ) East Indian Ocean along the grid 5S–5N, 85E–95E. A strong positive correlation (99%) exists between the April SST (sea surface temperature) in the region EQ–5N, 85E–95E and the AIAR, while a negative correlation (95%) exists between June SST in the region 5S–EQ, 85E–95E and the ISWMR. The SSTs in the grid could be used to predict the AIAR and the ISWMR prior to 8 and 3 months respectively. |
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Rahul Chand ; Salvekar, P. S.</creator><creatorcontrib>Reddy, P. Rahul Chand ; Salvekar, P. S.</creatorcontrib><description>Here we examine the relationship of both the all India annual rainfall (AIAR) and the Indian southwest monsoon rainfall (ISWMR) with global sea ice sea surface temperature of the equatorial (EQ) East Indian Ocean along the grid 5S–5N, 85E–95E. A strong positive correlation (99%) exists between the April SST (sea surface temperature) in the region EQ–5N, 85E–95E and the AIAR, while a negative correlation (95%) exists between June SST in the region 5S–EQ, 85E–95E and the ISWMR. The SSTs in the grid could be used to predict the AIAR and the ISWMR prior to 8 and 3 months respectively.</description><identifier>ISSN: 0011-3891</identifier><language>eng</language><publisher>Current Science Association</publisher><subject>Climate models ; Correlation coefficients ; Marine ; Monsoons ; Oceans ; Rain ; Rainy seasons ; RESEARCH COMMUNICATIONS ; Sea surface temperature ; Seas ; Significance level ; Weather</subject><ispartof>Current science (Bangalore), 2003-12, Vol.85 (11), p.1600-1604</ispartof><rights>Copyright © 2003 Current Science Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/24110024$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/24110024$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,57992,58225</link.rule.ids></links><search><creatorcontrib>Reddy, P. 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The SSTs in the grid could be used to predict the AIAR and the ISWMR prior to 8 and 3 months respectively.</description><subject>Climate models</subject><subject>Correlation coefficients</subject><subject>Marine</subject><subject>Monsoons</subject><subject>Oceans</subject><subject>Rain</subject><subject>Rainy seasons</subject><subject>RESEARCH COMMUNICATIONS</subject><subject>Sea surface temperature</subject><subject>Seas</subject><subject>Significance level</subject><subject>Weather</subject><issn>0011-3891</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqFkD9rwzAQxT200DTtRyho6mbQf8ndQkjbQCBLOpuzfAYbW3Yki9JvX0G6d3j3bvjdg3d3xYZSxkphK_ZQPMY4UMoFp9Wm6A7XBOscehjJAeJKjr7twZOzwzwjAokpdOCQrDgtGGBNAd_Ijnj8JkvAtnf5mnRZGY6zzzng2yyf8hqg9x2M41Nxny3i859vi6_3w2X_WZ7OH8f97lQOXJi1lG2rqem4tkLTRimuHFKOyKwyUjfKuEaBtoahERqlpkowp1lLRUWtlii2xestdwnzNWFc66mPDscRPM4p1sxSaW2l_weN1UwJkcGXGzjEXLReQj9B-Km5ZCw_UYpfhPVpKA</recordid><startdate>20031210</startdate><enddate>20031210</enddate><creator>Reddy, P. Rahul Chand</creator><creator>Salvekar, P. S.</creator><general>Current Science Association</general><scope>7TG</scope><scope>KL.</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20031210</creationdate><title>Equatorial East Indian Ocean sea surface temperature: A new predictor for seasonal and annual rainfall</title><author>Reddy, P. Rahul Chand ; Salvekar, P. 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S.</creatorcontrib><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Current science (Bangalore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reddy, P. Rahul Chand</au><au>Salvekar, P. S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Equatorial East Indian Ocean sea surface temperature: A new predictor for seasonal and annual rainfall</atitle><jtitle>Current science (Bangalore)</jtitle><date>2003-12-10</date><risdate>2003</risdate><volume>85</volume><issue>11</issue><spage>1600</spage><epage>1604</epage><pages>1600-1604</pages><issn>0011-3891</issn><abstract>Here we examine the relationship of both the all India annual rainfall (AIAR) and the Indian southwest monsoon rainfall (ISWMR) with global sea ice sea surface temperature of the equatorial (EQ) East Indian Ocean along the grid 5S–5N, 85E–95E. A strong positive correlation (99%) exists between the April SST (sea surface temperature) in the region EQ–5N, 85E–95E and the AIAR, while a negative correlation (95%) exists between June SST in the region 5S–EQ, 85E–95E and the ISWMR. The SSTs in the grid could be used to predict the AIAR and the ISWMR prior to 8 and 3 months respectively.</abstract><pub>Current Science Association</pub><tpages>5</tpages></addata></record> |
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subjects | Climate models Correlation coefficients Marine Monsoons Oceans Rain Rainy seasons RESEARCH COMMUNICATIONS Sea surface temperature Seas Significance level Weather |
title | Equatorial East Indian Ocean sea surface temperature: A new predictor for seasonal and annual rainfall |
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