Comparison of statistical procedures for BIAS Removal in Temperature, Solar Radiation and Rainfall Data Predicted by CSIRO-MK3-6-0 model in Punjab Kaur Jatinder1, Kaur Prabhjyot1*, Kaur Samanpreet2 1Department of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana-141004, Punjab 2Department of Soil and Water Engineering, Punjab Agricultural University, Ludhiana-141004, Punjab *Corresponding author: pksidhu@pau.edu
Online published on 3 June, 2021. Abstract A study was made to estimate and minimize bias in temperature, rainfall and solar radiation data derived from CSIRO-Mk3-6-0 model based on RCP 8.5 (Representative Concentration Pathways). The bias correction factors, computed statistically between modeled and observed data for Ludhiana, for the baseline period 2010–2015 were applied to the time period of 2016 and 2017 for validation. Three methods i.e. Difference method, Leander and Buishand method and Modified difference method at daily and monthly scale were tested to correct the biasness in data and were then analyzed statistically. The analysis of the corrected data showed that amongst the different techniques, the Difference method of bias removal performed best for maximum temperature (Tmax) and rainfall (RF) on monthly time scale but for solar radiation at daily time scale. There was no need for bias removal in the minimum temperature (Tmin) because model data gave the best estimate to the observed ones. Top Keywords Bias removal method, Ludhiana, Rainfall, Solar radiation, Temperature. Top |