IJSR - International Journal of Scientific Research

C N Tripathi; M K Mishra; K.K. Singh

Volume : II, Issue : IV, April - 2013

Evaluating the performance of a Weather Generator WGEN Under Indian Condition for Agricultural Impact Studies

C N Tripathi, M K Mishra, K. K. Singh

Abstract :

A weather generator based on short methods of WGEN in which the weather parameters are estimated from the monthly weather summaries instead from daily values has been caliated and evaluated in this study. The model parameters were caliated using daily observed weather data from 40 locations in India for 20 years (15 years for some of the locations). These parameters are calculated in terms of monthly weather statistics of rainfall were directly used to generate the daily weather at selected locations of India. Result indicate that there is several deviations in summery of generated weather statistics as compared to observed statistics, but over all nature of generated rainfall is fairly good replications of observed rainfall. Generated rainfall can be helpful in rice crop planning in North India because of better agreement between generated and observed rainfall during monsoon months in which rice crop is grown in North India. However it can not be useful in winter months planning of wheat because of lesser agreement between generated and observed rainfall during winter months. In addition due to several deviations in generated temperature (both maximum and minimum temperature) the use of the generated weather in crop simulation and hydrological models will not yield realistic results. To use this for agricultural and hydrological impact studies it need to be caliated for maximum and minimum temperature generation as well.