Some aspects of an association between the southern oscillation and indian summer monsoon

Pant, G. B.; Parthasarathy, Shri B.

doi:10.1007/bf02263246

Cited by 230 publications

(115 citation statements)

References 13 publications

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“…Other studies addressing ENSO features to the upper level circulation (Jet stream) which in turn affects regional storm tracks and intensity (Hsu and Wallace, 1976;Arkin, 1982;Yang et al, 2002). Studies pertaining to the effects of El Nino on largescale circulation and monsoon rainfall over Indian region are also available (Sikka 1980;Pant and Parthasarathy, 1981;Rasmussen and Carpenter, 1983). Precipitation and electrification are two processes that may coexist in the 142 S. S. KANDALGAONKAR ET AL.…”

Section: El Nino and Lightning Activitymentioning

confidence: 99%

Land‐ocean contrasts in lightning activity over the Indian region

Kandalgaonkar

Kulkarni

Tinmaker

et al. 2009

Intl Journal of Climatology

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Land-ocean contrasts in the lightning activity over Indian land and two surrounding oceanic regions viz. Arabian Sea and Bay of Bengal have been studied. Satellite-based lightning flash data for 5-year (1998-2002) period have been used. The study revealed that lightning activity over Bay of Bengal was three times higher than that over Arabian Sea and 9.3 times lower than that over land. The bimodal distribution is seen over Arabian Sea (peaks in April and November), and land (peaks in May and September). A unimodal distribution is observed over Bay of Bengal with peak in May. The maximum activity over Bay of Bengal occurs more at northern latitudes (28-30°N) compared with Arabian Sea (12-14°N). The land-ocean contrast is dominated by monsoon season. Comparison of lightning activity in the El Nino (2002) and La Nina year (1998)(1999)(2000)(2001) shows that the lightning activity is increased by nearly 18% over the land region and it maybe attributed to in the increase in surface air temperature during the warm phase of El Nino, land sea breeze circulations and difference in the continental and the oceanic convection.

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Section: El Nino and Lightning Activitymentioning

confidence: 99%

Land‐ocean contrasts in lightning activity over the Indian region

Kandalgaonkar

Kulkarni

Tinmaker

et al. 2009

Intl Journal of Climatology

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“…Several studies show that there is a link between El-Niño and Southern Oscillation (ENSO) and the intensity of ISMR (e.g., Pant and Parthasarathy, 1981;Sikka, 1980;Rasmusson and Carpenter, 1983). Droughts are more probable during the warmer east Pacific SST phase (El-Niño).…”

Section: Introductionmentioning

confidence: 99%

Relative role of pre-monsoon conditions and intraseasonal oscillations in determining early-vs-late indian monsoon intensity in a GCM

Ghosh

Chakraborty

Nanjundiah

2016

Theor Appl Climatol

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The aim of this paper is to identify relative roles of different land-atmospheric conditions, apart from sea surface temperature (SST), in determining early vs. late summer monsoon intensity over India in a high resolution general circulation model (GCM). We find that in its early phase (June-July; JJ), pre-monsoon land-atmospheric processes play major role to modulate the precipitation over Indian region. These effects of pre-monsoon conditions decrease substantially during its later phase (August-September; AS) for which the interannual variation is mainly governed by the low frequency northward propagating intraseasonal oscillations. This intraseasonal variability which is related to mean vertical wind shear has a significant role during the early phase of monsoon as well. Further, using multiple linear regression, we show that interannual variation of early and late monsoon rainfall over India is best explained when all these land-atmospheric parameters are taken together. Our study delineates the relative role of different processes

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“…The relationship between the El Niño-southern oscillation (ENSO) and variations in Indian summer monsoon rainfall (SMR) has been demonstrated by many studies (Troup, 1965;Sikka, 1980;Angell, 1981;Pant and Parthasarathy, 1981;Mooley and Parthasarathy, 1983;Bhalme et al, 1983;Carpenter, 1982, 1983;Shukla and Paolino, 1983;Parthasarathy and Pant, 1985;Gregory, 1989;Webster and Yang, 1992;Webster et al, 1998). The ENSO-monsoon teleconnections involve significant simultaneous relationships between monsoon rainfall and various ENSO indices (Krishna Kumar et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

Impact of El Niño–southern oscillation on Indian foodgrain production

Selvaraju

2003

Intl Journal of Climatology

135

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The impact of El Niño-southern oscillation (ENSO) on Indian foodgrain production was analysed for the period 1950-99. The inverse relationship between sea-surface temperature (SST) anomalies from June to August (JJA) over the NINO3 sector of the tropical Pacific Ocean and Indian foodgrain production anomalies (r = −0.50) was significant at the 1% level. During the warm ENSO phase, the total foodgrain production frequently decreased (12 out of 13 years) by 1 to 15%. In 10 out of 13 cold ENSO-phase years, the total foodgrain production increased from normal. The relationship between the SST-based NINO3 ENSO index and the Kharif season (June-September) foodgrain production anomalies (r = −0.52) was greater than for the Rabi season (October-February) foodgrain production (r = −0.27). The ENSO impact on rice production was greatest among the individual crops. The average drop in rice (Kharif season crop) production during a warm ENSO-phase year was 3.4 million tonnes (7%). In a cold ENSO-phase year the average production increase was 1.3 million tones (3%). Wheat (Rabi season crop) production was also influenced by ENSO, as it depends on the carryover soil water storage from the Kharif season. Sorghum and chickpea production are not significantly influenced by ENSO extremes.Inter-annual fluctuation of the gross value of Indian foodgrain production was very large, reducing up to US$2183 million in a warm ENSO year and increasing up to US$1251 million in a cold ENSO year. On average, a warm ENSO year costs US$773 million and a cold ENSO year had a financial gain of US$437 million from normal.The cumulative probability distributions of foodgrain production anomalies during cold and warm ENSO phases are shifted positively or negatively, relative to the neutral distribution. The warm ENSO forcing significantly (1% level) reduced the probability of above-average production. The cold ENSO forcing moderately increased the above-average foodgrain production over the neutral ENSO phase (5% level). A simple conditional probability forecast based on annual and JJA NINO3 SST predicted the category of foodgrain production in 11 of the 14 years. The results demonstrated that the relationship between NINO3 ENSO index and foodgrain production could be used for agricultural applications and policy decisions on food security for the rapidly growing population in India.

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Some aspects of an association between the southern oscillation and indian summer monsoon

Cited by 230 publications

References 13 publications

Land‐ocean contrasts in lightning activity over the Indian region

Land‐ocean contrasts in lightning activity over the Indian region

Relative role of pre-monsoon conditions and intraseasonal oscillations in determining early-vs-late indian monsoon intensity in a GCM

Impact of El Niño–southern oscillation on Indian foodgrain production

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