1999
DOI: 10.1038/43854
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A dipole mode in the tropical Indian Ocean

Abstract: For the tropical Pacific and Atlantic oceans, internal modes of variability that lead to climatic oscillations have been recognized, but in the Indian Ocean region a similar ocean-atmosphere interaction causing interannual climate variability has not yet been found. Here we report an analysis of observational data over the past 40 years, showing a dipole mode in the Indian Ocean: a pattern of internal variability with anomalously low sea surface temperatures off Sumatra and high sea surface temperatures in the… Show more

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Cited by 4,002 publications
(4,232 citation statements)
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References 23 publications
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“…For teleconnections analysis, we examine linear correlations between seasonal precipitation and four indices that are commonly associated with precipitation variability in the Nile basin (Camberlin, 1997, 2009; Anyah and Semazzi, 2006; Block and Rajagopalan, 2007; Segele et al , 2009; Kundzewicz and Stakhiv, 2010; Diro et al , 2011; Berhane et al , 2014): (1) an ENSO index computed from the 3‐month running means of SST anomalies between 10°S–10°N and 120°E–80°W, (2) Global SST anomaly (GSST), as an indicator of global‐scale climate variability and change (in this study SST between 60°N–60°S are considered), (3) a dynamically based Indian Summer Monsoon Index (ISM; http://apdrc.soest.hawaii.edu/projects/monsoon) calculated as the difference of zonal wind at 850 mbar between region 1 (5°–15°N and 40°–80°E) and region 2 (20°–30°N and 70°–90°E) for the JJAS season (Wang and Fan, 1999), and (4) an Indian Ocean Dipole (IOD) index calculated as the difference between the tropical western Indian Ocean (50°–70°E, 10°S–10°N) and the tropical south‐eastern Indian Ocean (90°–110°E, 10°S–0°N) (Saji et al , 1999). All anomalies are calculated from the 1950–1995 climatology.…”
Section: Data and Methodsologymentioning
confidence: 99%
“…For teleconnections analysis, we examine linear correlations between seasonal precipitation and four indices that are commonly associated with precipitation variability in the Nile basin (Camberlin, 1997, 2009; Anyah and Semazzi, 2006; Block and Rajagopalan, 2007; Segele et al , 2009; Kundzewicz and Stakhiv, 2010; Diro et al , 2011; Berhane et al , 2014): (1) an ENSO index computed from the 3‐month running means of SST anomalies between 10°S–10°N and 120°E–80°W, (2) Global SST anomaly (GSST), as an indicator of global‐scale climate variability and change (in this study SST between 60°N–60°S are considered), (3) a dynamically based Indian Summer Monsoon Index (ISM; http://apdrc.soest.hawaii.edu/projects/monsoon) calculated as the difference of zonal wind at 850 mbar between region 1 (5°–15°N and 40°–80°E) and region 2 (20°–30°N and 70°–90°E) for the JJAS season (Wang and Fan, 1999), and (4) an Indian Ocean Dipole (IOD) index calculated as the difference between the tropical western Indian Ocean (50°–70°E, 10°S–10°N) and the tropical south‐eastern Indian Ocean (90°–110°E, 10°S–0°N) (Saji et al , 1999). All anomalies are calculated from the 1950–1995 climatology.…”
Section: Data and Methodsologymentioning
confidence: 99%
“…-Indian Ocean Dipole (IOD; Saji et al, 1999;Ashok et al, 2003;Verdon and Franks, 2005), which in this study is represented by the Dipole Model Index (DMI) developed by Saji et al (1999), defined as the difference in sea surface temperature anomaly between the tropical western Indian Ocean (50-70 • E, 10 • S-10 • N) and the tropical southeastern Indian Ocean (90-110 • E, 10 • SEquator).…”
Section: Indices Of Large-scale Climate Modesmentioning
confidence: 99%
“…The Indian Ocean Dipole (IOD) is an interannual (year-to-year) climate pattern across the tropical Indian Ocean first identified in 1999 (Saji et al, 1999). In the positive phase of the IOD, trade winds are stronger than usual and cooler-than-average sea surface temperatures are prevalent across the eastern tropical Indian Ocean, near Indonesia and Australia.…”
Section: Climate Indicesmentioning
confidence: 99%