Surface and upper air temperatures over India in relation to monsoon rainfall

Parthasarathy, Balaji; Kumar, Keshav; Sontakke, N. A.

doi:10.1007/bf00868216

Cited by 54 publications

(25 citation statements)

References 24 publications

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“…Figure 5 represents the climatological TT in the NCEP/ NCAR reanalysis, RegCM3 simulation and their differences during the four seasons prevailing over India. The TT is equal to the average atmospheric temperature between 700 and 200 hPa pressure levels (Verma 1980;Parthasarathy et al 1990;Singh and Chattopadhyay 1998). RegCM3 is able to simulate TT close to the reanalysis in all the seasons.…”

Section: Climatology Of Sea Level Pressurementioning

confidence: 99%

“…The importance of the seasonal heating of the Tibetan plateau during pre-monsoon and early summer has long been recognized in influencing the intensity of the monsoon circulation and rainfall (Flohn 1957). On inter-annual timescale, the Indian monsoon rainfall has a strong and positive correlation with the pre-monsoon TT anomaly (Verma 1980;Parthasarathy et al 1990;Singh and Chattopadhyay 1998). In their study, they defined TT as the average temperature of the troposphere between 700 and 200 hPa.…”

Section: Introductionmentioning

confidence: 95%

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Relationship between tropospheric temperature and Indian summer monsoon rainfall as simulated by RegCM3

et al. 2015

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Section: Climatology Of Sea Level Pressurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Relationship between tropospheric temperature and Indian summer monsoon rainfall as simulated by RegCM3

et al. 2015

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“…On interannual timescales, the Indian monsoon rainfall has a strong and positive correlation with the premonsoon spring tropospheric temperature anomaly (Verma, 1980;Parthasarathy et al, 1990;Singh & Chattopadhyay, 1998). Parameters representing these conditions, global as well as regional, provide a handle for seasonal prediction.…”

Section: Influence Of Climate Variables On Indian Monsoonmentioning

confidence: 99%

“…In the past, few studies emphasized that generation of the Indian summer monsoon can be attributed to the land-sea thermal contrast and it was also observed that the thermal conditions during the pre-monsoon season over India can play a significant role in the performance of the ensuing monsoon (Mooley & Paolino, 1988;Parthasarathy et al, 1990). Various studies have used this phenomenon in predicting summer monsoon and found that regional temperature data can be a useful predictor for summer monsoon rainfall prediction (Mooley & Paolino, 1988;Parthasarathy et al, 1990;Kumar et al, 1997).…”

Section: Ocean-land Temperature Contrast (Oltc)mentioning

confidence: 99%

Regional Rainfall Forecasting using Large Scale Climate Teleconnections and Artificial Intelligence Techniques

Kumar¹,

Reddy²,

Maity³

2007

Journal of Intelligent Systems

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This paper presents an Artificial Intelligence approach for regional rainfall forecasting for Orissa state, India on monthly and seasonal time scales. The possible relation between regional rainfall over Orissa and the large scale climate indices like El-Niflo Southern Oscillation (ENSO), EQUitorial INdian Ocean Oscillation (EQUINOO) and a local climate index of Ocean-Land Temperature Contrast (OLTC) are studied first and then used to forecast monsoon rainfall. To handle the highly non-linear and complex behavior of the climatic variables for forecasting the rainfall, this study employs Artificial Neural Networks (ANNs) methodology. To optimize the ANN architecture, Genetic Optimizer (GO) is used. After identifying the lagged relation between climate indices and monthly rainfall, the rainfall values are forecast for the summer monsoon months of June, July, August, and September (JJAS)individually, as well as for total monsoon rainfall. The models are trained individually for monthly and for seasonal rainfall forecasting. Then the trained models are tested to evaluate the performance of the model. The results show reasonably good accuracy for monthly and seasonal rainfall forecasting. This study emphasizes the value of using large-scale climate teleconnections for regional rainfall forecasting and the significance of Artificial Intelligence approaches like GO and ANNs in predicting the uncertain rainfall.

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“…Murakami (1974), Krishnamurti et al (1975), and Murakami (1975, 1978 have studied the upper tropospheric thermal and circulation anomalies. Some attempts have also been made to relate the thermal field over India to the performance of the subsequent monsoon rainfall (Verma, 1980(Verma, , 1982Parthasarathy et al, 1990;Rajeevan, 1991).…”

Section: Introductionmentioning

confidence: 98%

Relationship of tropospheric temperature anomaly with Indian southwest monsoon rainfall

Singh

Chattopadhyay

1998

Int. J. Climatol.

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The statistical relationship between the Indian southwest monsoon rainfall over all India (AIR), northwest India (NWR) and peninsular India (PIR) and tropospheric temperature (TT) anomaly over seven selected Indian stations between 300 and 850 hPa has been examined for the period 1961–1990. The study is furthered by means of sliding 15 years correlation coefficients. The results indicate that the previous May's tropospheric temperature anomaly has a strong and direct relationship with southwest monsoon rainfall, suggesting that warmer/colder tropospheric temperature in May leads to good/bad southwest monsoon rainfall over India.The correlations are stronger for AIR and NWR followed by PIR. Its stability analysis displays best correlation during 1967–1981 and 1968–1982 and again during the recent years 1975–1989 and 1976–1990 for all the regions. Significant direct correlations are also obtained with the tropospheric temperature anomaly of the previous April and spring season. The result also suggests that antecedent May tropospheric temperature anomaly may be useful in the long range prediction of the following southwest monsoon rainfall over India. © 1998 Royal Meteorological Society

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Surface and upper air temperatures over India in relation to monsoon rainfall

Cited by 54 publications

References 24 publications

Relationship between tropospheric temperature and Indian summer monsoon rainfall as simulated by RegCM3

Relationship between tropospheric temperature and Indian summer monsoon rainfall as simulated by RegCM3

Regional Rainfall Forecasting using Large Scale Climate Teleconnections and Artificial Intelligence Techniques

Relationship of tropospheric temperature anomaly with Indian southwest monsoon rainfall

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