PREDICTION OF MONTHLY-MEAN HOURLY RELATIVE-HUMIDITY, AMBIENT-TEMPERATURE, AND WIND VELOCITY FOR INDIA

This paper presents a procedure to predict monthly-mean hourly values of relative humidity, ambient temperature and wind velocity for an Ind ian location. Three maps, showing distribution of annual-average hourl y values of humidity, temperature and wind velocities, are prepared fr om the analysis of available meteorological data of 205 Indian cities. An equation is obtained for annual-average temperature as a function of altitude of the location. Sets of equations are then developed to p redict the said weather parameters by the least square regression anal ysis of the data of 14 cities, taken from different regions, out of 19 cities for which detailed weather data was available. A ratio of mont hly-mean to the yearly-mean value of variable is correlated with month and then hourly to the monthly-mean value is correlated with day-hour s. On comparison of the computed results with the measured data of the remaining 5 cities, yearly-average relative standard deviations are 1 4.6, 10.5 and 26.7% for monthly-mean hourly relative humidity, ambient temperature and wind velocities, respectively. (C) 1998 Elsevier Scie nce Ltd. All rights reserved.