BIAS CORRECTION FOR RCM PREDICTIONS OF PRECIPITATION IN VARTU RIVER BASIN OF GUJARAT, INDIA
Journal Title: International Journal of Agricultural Science and Research (IJASR) - Year 2017, Vol 7, Issue 1
Abstract
The Global climate models are able to develop the climate change projections for the future using greenhouse gas emissions. But they have the limitations of focusing local climate for the resolution of the processes caused due to topography and land use of the study area. So, to avoid such limitations the regional climate models (RCMs) have developed. The Climate data like precipitation of A1B scenario for the Vartu river basin in Gujarat was utilized in this study. Bias correction was performed to ensure that important statistics (coefficient of variation and mean) of the downscaled output matched the corresponding statistics of the observed data. Predictions show that annual rainfall in the Vartu river basin may decrease by about 7-8 % from the present day annual average value according to the A1B scenario from the present day average values in the 2046-2064 and 2081-2100 scenarios respectively.
Authors and Affiliations
WANDRE S. S. , RANK H. D.
Keywords
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