Prediction of summer monsoon rainfall over northwest region of India using an OLR index

Authors

  • A. K. SRIVASTAVA
  • M. RAJEEVAN

DOI:

https://doi.org/10.54302/mausam.v55i4.1349

Keywords:

Long range forecast, SST, Indian monsoon, Regression analysis

Abstract

 Although, monsoon rainfall (June-September) over the country as a whole has shown some resilience for variations, it has shown remarkable variations over smaller regions viz. over the Northwestern parts of the country.  This study is an attempt to predict seasonal rainfall departure over the Northwest India with the help of an “area averaged OLR anomaly index” associated with the North Atlantic Oscillation (NAO) over parts of North Atlantic Ocean during May. Using the OLR anomaly index developed in this study for the period 1979-2000, a simple regression equation was developed and the performance of the model was evaluated through the “Cross validation” technique.  The Root Mean Square (RMS) error of the model (9.73) was much less than the standard deviation (17.51) of the rainfall over NW India, indicating the skill of the model.

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Published

01-10-2004

How to Cite

[1]
A. K. SRIVASTAVA and M. RAJEEVAN, “Prediction of summer monsoon rainfall over northwest region of India using an OLR index”, MAUSAM, vol. 55, no. 4, pp. 583–590, Oct. 2004.

Issue

Vol. 55 No. 4 (2004): MAUSAM

Section

Research Papers

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