Possible influence of QBO on teleconnections relating Indian summer monsoon rainfall and sea‐surface temperature anomalies across the equatorial pacific

Chattopadhyay, Joydev; Bhatla, R.

doi:10.1002/joc.661

Cited by 35 publications

(21 citation statements)

References 19 publications

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“…In the case of El Niño, there are several regions in the tropical Pacific that have been used for analysing the role of El Niño on climate conditions in different parts of the world. Related to the Indian landmass, Chattopadhyay and Bhatla (2002) conducted a detailed analysis of the relationship between summer monsoon rainfall and SST anomalies over the different Niño regions and reported the strongest inverse correlation with the Niño 3 region. Furthermore, majority of the studies examining the relationship between Indian summer monsoon rainfall and ENSO have taken into consideration the Niño 3 index (Krishna Kumar et al , 2006), therefore the use of Niño 3 index in the present study will enable comparison with previous studies.…”

Section: Datasetsmentioning

confidence: 99%

Identification of periodicity in the relationship between PDO, El Niño and peak monsoon rainfall in India using S‐transform analysis

Roy

2011

Intl Journal of Climatology

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Peak monsoon rainfall (PMR) data have been examined 135 years for five rainfall regions of the Indian subcontinent. S-transform analysis was used to analyse the non-stationarity in the periodicity of rainfall patterns over the study period. The results of the analyses revealed the presence of a 2-3 year cycle corresponding to the El Niño cycle, with periodic strengthening at the decadal scale across most of the regions as well as at the all India level. Further examination revealed that the 2-3 year cycle usually strengthened a few years before the beginning of the cold phase of the Pacific Decadal Oscillation (PDO), and this cycle continued through most of the cold phase. This 2-3 year cycle, however, was almost negligible during the subsequent warm phase of PDO for all regions except the central northeast region. Such a periodic strengthening of the periodicity in PMR during the cool phase of PDO is possibly caused by the differences in temperatures in different parts of the Pacific Ocean.

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Section: Datasetsmentioning

confidence: 99%

Identification of periodicity in the relationship between PDO, El Niño and peak monsoon rainfall in India using S‐transform analysis

Roy

2011

Intl Journal of Climatology

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“…This author proposed a conceptual model for drought or flood years in the Indian monsoon based on the magnitudes and phases of these three factors and argued that the QBO is the primary factor driving the biennial component of ISM interannual variability (Khandekar, 1998). More recently, Chattopadhyay and Bhatla (2002) showed that the QBO may explain the different behavior of the ISM in ENSO years: easterly phases of QBO at 50 hPa during the monsoon season associated to ENSO events are likely to cause droughts, while westerly QBO phases are likely to result in a normal monsoon.…”

Section: Introductionmentioning

confidence: 99%

Revisiting the Possible Links between the Quasi-Biennial Oscillation and the Indian Summer Monsoon Using NCEP R-2 and CMAP Fields

Claud

Terray

2007

Journal of Climate

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In the past the stratospheric Quasi-Biennial Oscillation (QBO) has sometimes been proposed to explain the tendency for the Indian Summer Monsoon (ISM) to alternate between strong and weak years. In this study, NCEP Reanalysis-2 and CMAP fields are statistically analyzed to assess the relationship between equatorial zonal winds in the stratosphere and ISM. In a first step, it is shown that zonal winds at 15hPa during the preceding winter (January-February) are the best stratospheric predictor of the summer rainfall over the Indian subcontinent as a whole.This relationship mainly holds for August and September, or the late ISM. Surprisingly, the QBO pattern is not significantly associated with the rainfall variability during June-July or the early ISM. CMAP and NCEP R-2 fields corroborate these findings and show that westerly QBO years are associated with a deepening of the monsoon trough over the Gangetic plains and decreased convective activity in the eastern equatorial Indian region. However, further statistical analysis shows that the QBO-ISM link is complex since a westerly QBO phase at 15 hPa in boreal winter leads to a weaker monsoon surface circulation with, in particular, a weakening of the Somali Jet at the beginning of the monsoon, but a much stronger circulation in September. At that time, the Tibetan High is reinforced, the tropical easterly jet at 200 hPa is stronger over India and the local reversed Hadley circulation is also strengthened north of the equator. The mechanisms by which the QBO may affect ISM have been explored through in particular correlations between stratospheric winds and tropopause temperature and pressure fields. Our results provide support for an out of phase behavior of convective activity between the Indian sub-continent and the equatorial Indian Ocean induced by the QBO phase, especially during the late ISM. During a westerly QBO phase, convective activity is, in September, enhanced over India, which brings higher precipitation, compared to the east phase. This work 3 also suggests that the winter QBO at 15 hPa could have some skill in foreshadowing the late ISM.4

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“…During the same season, strong surface winds generate sea salt aerosols at lower levels (Moorthy, Satheesh, and Murthy 1997;Sivaprasad and Babu 2012). Atmospheric phenomena such the as El Niño Southern Oscillation (ENSO) and Quasi-Biennial Oscillation (QBO) have been observed in the study area (Goswami 1997;Meehl and Arblaster 2001;Chattopadhyay and Bhatla 2002;Sankar, Kumar, and Reason 2011;Shalin and Sanilkumar 2014). Consequently, the influence of such phenomena on the modulation of aerosol concentration can also be expected.…”

Section: Introductionmentioning

confidence: 91%

Aerosol optical depth variability over the southeastern Arabian Sea

Shalin

Sanilkumar

2015

International Journal of Remote Sensing

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Possible influence of QBO on teleconnections relating Indian summer monsoon rainfall and sea‐surface temperature anomalies across the equatorial pacific

Cited by 35 publications

References 19 publications

Identification of periodicity in the relationship between PDO, El Niño and peak monsoon rainfall in India using S‐transform analysis

Identification of periodicity in the relationship between PDO, El Niño and peak monsoon rainfall in India using S‐transform analysis

Revisiting the Possible Links between the Quasi-Biennial Oscillation and the Indian Summer Monsoon Using NCEP R-2 and CMAP Fields

Aerosol optical depth variability over the southeastern Arabian Sea

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