scholarly journals Influence of moisture source and sink regions on northeast monsoon rainfall

2017 ◽  
Vol 25 (3) ◽  
pp. 376-383 ◽  
Author(s):  
P. Suneetha ◽  
P. Latha ◽  
S. Ramalingeswara Rao ◽  
O. S. R. U. Bhanu Kumar
Keyword(s):  
Monsoon Rainfall ◽  
Northeast Monsoon ◽  
Moisture Source ◽  
Northeast Monsoon Rainfall ◽  
Source And Sink

On the Predictability of Northeast Monsoon Rainfall over South Peninsular India in General Circulation Models

2013 ◽  
Vol 170 (11) ◽  
pp. 1945-1967 ◽  
Author(s):  
Archana Nair ◽  
Nachiketa Acharya ◽  
Ankita Singh ◽  
U. C. Mohanty ◽  
T. C. Panda
Keyword(s):  
General Circulation ◽  
Monsoon Rainfall ◽  
General Circulation Models ◽  
Northeast Monsoon ◽  
Peninsular India ◽  
Northeast Monsoon Rainfall

On the recent strengthening of the relationship between ENSO and northeast monsoon rainfall over South Asia

2006 ◽  
Vol 28 (6) ◽  
pp. 649-660 ◽  
Author(s):  
Pankaj Kumar ◽  
K. Rupa Kumar ◽  
M. Rajeevan ◽  
A. K. Sahai
Keyword(s):  
South Asia ◽  
Monsoon Rainfall ◽  
Northeast Monsoon ◽  
Northeast Monsoon Rainfall ◽  
The Relationship

scholarly journals DAKSHIN BHARTIYA PADHAR PAR HONE WALI MONSOON WARSHA KA PRADHAN AVYAV VISHLESHAN

MAUSAM ◽  
2021 ◽  
Vol 48 (1) ◽  
pp. 77-82
Author(s):  
O.P. SINGH
Keyword(s):  
Principal Components ◽  
Andhra Pradesh ◽  
Monsoon Rainfall ◽  
Principal Component ◽  
Southwest Monsoon ◽  
Northeast Monsoon ◽  
Northeast Monsoon Rainfall ◽  
Total Variability ◽  
Southwest Monsoon Rainfall ◽  
The Impact

 The result of the Principal Component Analysis of southwest and northeast monsoon rainfall on the southern India plateau have been discussed. Monsoon rainfall data of five meteorological sub-divisions, i.e., Coastal Andhra Pradesh, Rayalseema, Tamilnadu, Interior parts of South Karnataka & Kerala, for a period of 33 years (1960-92), have been utilized. The results indicate that the rainfall of Coastal Andhra Pradesh and Rayalseema has maximum impact on first principal component of southwest monsoon rainfall of five meteorological sub-divisions. The study of only first principal component is sufficient in order to understand the 49% of total variability of southwest monsoon rainfall. Analysis of first three principal components is important to understand 85% of total variability of the rainfall of this season.   On the first principal component of northeast monsoon rainfall of aforesaid five meteorological sub-divisions the impact of the rainfall of Kerala and south interior Karnataka has been found maximum. In order to understand the 56% of total variability the analysis of first principal component is sufficient.   The special negative relation is found between northeast monsoon rainfall on the Coastal Andhra Pradesh and southwest monsoon rainfall of previous year on this very sub-division and Rayalseema. The principal components of southwest monsoon rainfall may prove useful for forecasting the northeast monsoon rainfall of southern Indian plateau.  

scholarly journals OUTLOOK ON NORTHEAST MONSOON RAINFALL OF TAMIL NADU

MAUSAM ◽  
2021 ◽  
Vol 44 (1) ◽  
pp. 19-22
Author(s):  
Y.E.A. RAJ ◽  
P. N. SEN ◽  
S. M. JAMADAR
Keyword(s):  
Multiple Regression ◽  
Tamil Nadu ◽  
Monsoon Rainfall ◽  
Northeast Monsoon ◽  
Northeast Monsoon Rainfall ◽  
The Mean ◽  
In The Beginning

The mean monthly wind vectors at 850, 500 and 150 hPa levels over Thiruvananthapuram (TRV) and Madras (MDS) for August. and September have been subjected to stepwise screening. The objective is to develop a scheme capable of providing an outlook of .northeast monsoon rainfall of Tamil Nu in the beginning of October. A multiple regression scheme of S1K predictors has been identified. The scheme developed from 23•year data performed well when te.ted in an independent five-year period.

Variability and teleconnectivity of northeast monsoon rainfall over India

2009 ◽  
Vol 69 (4) ◽  
pp. 225-231 ◽  
Author(s):  
Lorna R. Nayagam ◽  
Rajesh Janardanan ◽  
H.S. Ram Mohan
Keyword(s):  
Monsoon Rainfall ◽  
Northeast Monsoon ◽  
Northeast Monsoon Rainfall

scholarly journals A scheme for advance prediction of northeast monsoon rainfall of Tamil Nadu

MAUSAM ◽  
2021 ◽  
Vol 49 (2) ◽  
pp. 247-254
Author(s):  
Y. E. A. RAJ
Keyword(s):  
Tamil Nadu ◽  
Monsoon Rainfall ◽  
Southern Oscillation ◽  
Weighted Average ◽  
Test Period ◽  
Northeast Monsoon ◽  
Subtropical Anticyclone ◽  
Northeast Monsoon Rainfall ◽  
The Individual ◽  
June July

Monthly means of winds. contour height and temperature of seven standard isobaric levels of ten well distributed Indian upper air stations for the months of April, June. July, August and September were subjected to correlation analysis to detect parameters that have predictive value to forecast in advance the northeast monsoon rainfall of Tamil Nadu. The period 1965-87 was taken as developmental period and 1988-94 as test period. Six predictors, out of which three were completely new, were identified. The final forecast of rainfall was obtained as the weighted average of the individual forecasts based on the six predictors by employing a screening technique different from the conventional ones. The system explained between 65-77% variation of the predict and with standard error of 13-18% and provided reasonably correct forecasts during the test period. The physical significance of the predictors has been explained based on the intensity of the subtropical anticyclone over India. The possibility of extending the study to include global parameters in the context of proven negative and significant relationship between Southern Oscillation Index (SOl) and the Indian northeast monsoon has been discussed. Scope for further studies on the topic has been spelt out.

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