Association of the Indian summer monsoon with the northern hemisphere mid-latitude circulation

Kripalani, R. H.; Kulkarni, Ashwini; Singh, S. V.

doi:10.1002/(sici)1097-0088(199708)17:10<1055::aid-joc180>3.0.co;2-3

Cited by 113 publications

(88 citation statements)

References 25 publications

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“…Understanding the variability of the ISMR on decadal to multidecadal timescales is essential for adequate planning of farming and relevant infrastructure development, and for adapting to the consequences of future climate change (Krishnamurthy et al 2014;Joshi and Rai 2015). Other than on inter-annual timescales the ISMR varies on decadal to multi-decadal timescales as various studies identified the presence of a ~60-year cycle in it (see, Mooley and Parthasarathy 1984;Verma et al 1985;Kripalani et al 1997;Krishnamurthy and Goswami 2000;Goswami 2006a;Zhou et al 2009a). The potential factors which cause the decadal to multi-decadal scale variability of the ISMR are Pacific decadal oscillation (PDO), Atlantic multi-decadal oscillation (AMO), and external climate forcings i.e.…”

Section: Introductionmentioning

confidence: 99%

Decadal to multi-decadal scale variability of Indian summer monsoon rainfall in the coupled ocean-atmosphere-chemistry climate model SOCOL-MPIOM

et al. 2017

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timescales over the past 400 years. The results show that AMO, PDO, and Total Solar Irradiance (TSI) play a considerable role in controlling the wet and dry decades of ISMR. Resembling observational findings most of the dry decades of ISMR occur during a negative phase of AMO and a simultaneous positive phase of PDO. The observational and simulated datasets reveal that on decadal to multi-decadal timescales the ISMR has consistent negative correlation with PDO whereas its correlation with AMO and TSI is not stationary over time.

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Section: Introductionmentioning

confidence: 99%

Decadal to multi-decadal scale variability of Indian summer monsoon rainfall in the coupled ocean-atmosphere-chemistry climate model SOCOL-MPIOM

et al. 2017

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“…Studies have also pointed out that anomalies at higher latitudes are considered to influence the variations in the Asian monsoon (Kripalani et al, 1997;Bansod et al, 2005;Ding and Wang, 2007;Fujinami and Yasunari, 2009;Krishnan et al, 2009). A study by Kripalani et al (1997) showed that the west Pacific teleconnection pattern in the mid-troposphere is significantly related to the ISMR.…”

Section: Introductionmentioning

confidence: 99%

“…A study by Kripalani et al (1997) showed that the west Pacific teleconnection pattern in the mid-troposphere is significantly related to the ISMR. Also Bansod et al (2005) pointed out that mid-tropospheric height over the eastern tropical Pacific Ocean during winter plays an important role in modulating the ISMR.…”

Section: Introductionmentioning

confidence: 99%

Association of the pre-monsoon thermal field over north India and the western Tibetan Plateau with summer monsoon rainfall over India

Bansod

Ghanekar²

2015

Ann. Geophys.

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Abstract. In this paper, interannual variability of tropospheric air temperatures over the Asian summer monsoon region during the pre-monsoon months is examined in relation to Indian summer monsoon rainfall (ISMR; June to September total rainfall). For this purpose, monthly gridpoint temperatures in the entire troposphere over the Asian summer monsoon region and ISMR data for the period 1949-2012 have been used. Spatial correlation patterns are investigated between the temperature field in the lower tropospheric levels during May over the Asian summer monsoon region and ISMR. The results indicate a strong and significant northwest-southeast dipole structure in the spatial correlations over the Indian region, with highly significant positive (negative) correlations over the regions of north India and the western Tibetan Plateau region -region R1 (north Bay of Bengal: region R2). The observed dipole is seen significantly up to a level of 850 hPa and eventually disappears at 700 hPa. Thermal indices evaluated at 850 hPa level, based on average air temperatures over the north India and western Tibetan Plateau region (TI 1 ) and the north Bay of Bengal region (TI 2 ) during May, show a strong, significant relationship with the ISMR. The results are found to be consistent and robust, especially in the case of TI 1 during the period of analysis. A physical mechanism for the relationship between these indices and ISMR is proposed. Finally the composite annual cycle of tropospheric air temperature over R1 during flood/drought years of ISMR is examined. The study brings out the importance of the TI 1 in the prediction of flood/drought conditions over the Indian subcontinent.

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“…Walker, 1924;Thapliyal and Kulshrestha, 1992;Krishna Kumar et al, 1995;Kripalani et al, 1997;Webster et al, 1998;Krishamurthy and Goswami, 2000;Hu et al, 2005). However, the relationships of the parameters with AISMR are not robust and undergo changes over the decades (Rajeevan, 2002).…”

Section: Introductionmentioning

confidence: 99%

Association of the Indian summer monsoon rainfall variability with the geophysical parameters over the Arctic region

Prabhu

Mahajan

Khaladkar³

2011

Intl Journal of Climatology

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A study is carried out to understand whether the Indian summer monsoon rainfall variability is associated with the geophysical parameters over the Arctic region. The correlation analyses of the satellite-derived sea ice data for 29 years indicate that out of 9 sectors of the Arctic region, the Kara and Barents Seas sector's Sea Ice Extent (KBS SIE) during October has a strong relationship with the All-India Summer Monsoon Rainfall (AISMR) in the following year. This relationship is more pronounced for the extreme cases, which are identified as the drought or the excess monsoon years. Moreover, the composites of certain geophysical parameters over the Arctic also behave in tandem with the monsoon rainfall. In order to test the relationship of these geophysical parameters with the monsoon rainfall, a case of the recent drought of 2009 is independently evaluated. The results obtained in this study bring out that KBS SIE and some other parameters of the Arctic region can be used as potential predictors in the long-range forecasting of AISMR with a lead period of more than six months. A table indicating the qualitative forecast of the monsoon rainfall is presented on the basis of some parameters of the Arctic region. The mean sea level pressure anomaly tendency over northwest Europe during winter, which is one of the predictors used for forecasting the AISMR, is significantly correlated with the KBS SIE during the preceding October. As such, with the knowledge of October KBS SIE, this parameter can also be foreseen a few months in advance.

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Association of the Indian summer monsoon with the northern hemisphere mid-latitude circulation

Cited by 113 publications

References 25 publications

Decadal to multi-decadal scale variability of Indian summer monsoon rainfall in the coupled ocean-atmosphere-chemistry climate model SOCOL-MPIOM

Decadal to multi-decadal scale variability of Indian summer monsoon rainfall in the coupled ocean-atmosphere-chemistry climate model SOCOL-MPIOM

Association of the pre-monsoon thermal field over north India and the western Tibetan Plateau with summer monsoon rainfall over India

Association of the Indian summer monsoon rainfall variability with the geophysical parameters over the Arctic region

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