Comparing bias correction methods in downscaling meteorological variables for climate change impact study in Ludhiana, Punjab

Authors

  • MEHRAJ U DIN DAR Department of Soil and Water Engineering, PAU, Ludhiana- 141 004, Punjab
  • RAJAN AGGARWAL Department of Soil and Water Engineering, PAU, Ludhiana- 141 004, Punjab
  • SAMANPREET KAUR Department of Soil and Water Engineering, PAU, Ludhiana- 141 004, Punjab

DOI:

https://doi.org/10.54386/jam.v20i2.523

Keywords:

Bias Correction, GCM, RCM, modified difference approach, linear scaling

Abstract

Although regional climate models (RCMs) provide more reliable results for a regional impact study of climate change,however a considerable bias still exists that needs to be corrected before they are used for climate change research. In this study two correction functions using two methods viz. modified difference approach and linear scaling method were applied for local bias correction of Tmax. Tmin and rainfall data at monthly scales and validated to minimize the bias between the modelled (HAD GEM2-ES-GCM) and observed climate data at Ludhiana, Punjab.Correction functions derived using linear scaling method at monthly time scale for Tmax, Tmin and rainfall were found to be better than modified difference approach for bias correction of the weather data to bring it to close to observed data. 

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Published

01-06-2018

How to Cite

MEHRAJ U DIN DAR, RAJAN AGGARWAL, & SAMANPREET KAUR. (2018). Comparing bias correction methods in downscaling meteorological variables for climate change impact study in Ludhiana, Punjab. Journal of Agrometeorology, 20(2), 126–130. https://doi.org/10.54386/jam.v20i2.523

Issue

Vol. 20 No. 2 (2018): June

Section

Research Paper

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