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Exploring the possibility of forecasting monthly ‐ 700 hPa geopotential fields over india
Author(s) -
Prasad K. D.,
Singh S. V.
Publication year - 1994
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3370140403
Subject(s) - geopotential height , geopotential , principal component analysis , climatology , linear regression , principal component regression , regression , regression analysis , meteorology , econometrics , environmental science , statistics , mathematics , geography , geology , precipitation
The principal component regression approach is used for forecasting the monthly 700 hPa geopotential fields over India, for July, from the geopotential fields observed during June. The data used are for the 23‐year period from 1958 to 1980. The multiple linear regression equations are developed on 22 years of data using the principal components as predictors and keeping one randomly selected year for independent testing. The forecasts and validation experiments are carried out for seven representative years. The results show some skill in forecasting the monthly height fields over India.
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