Evaluation of statistical corrective methods to minimize bias at different time scales in a regional climate model driven data

Authors

  • SAMANPREET KAUR Department of Soil and Water Engineering, Punjab Agricultural University, Ludhiana, Punjab, India
  • S.K. JALOTA Department of Soil Science, Punjab Agricultural University, Ludhiana 141004, Punjab
  • HARSIMRAN KAUR Department of Soil Science, Punjab Agricultural University, Ludhiana 141004, Punjab
  • B.B. VASHISHT Department of Soil Science, Punjab Agricultural University, Ludhiana 141004, Punjab
  • U.R. JALOTA Department of Mathematics, Arya College, Ludhiana – 141004 (Punjab), India
  • P.P.S. LUBANA Department of Soil and Water Engineering, Punjab Agricultural University, Ludhiana, Punjab, India

DOI:

https://doi.org/10.54386/jam.v17i1.972

Keywords:

Past climatic data, bias,, bias correction methods, correction functions, time scale

Abstract

The regional climate models provide sufficient information of the climate data, which can be used for simulating the impact of expected climate change on crop growth and hydrological processes. But future climate data derived from such models often suffers from bias and is not ready to use per se in crop growth/hydrological models, wherein reasonable and consistent meteorological daily input data is a crucial factor. The present study concerns the assessment and minimization of the bias in the PRECIS modeled data of maximum and minimum temperatures and rainfall for Ludhiana station, representing central Punjab of India. The correction functions for three corrective methods i.e. difference, modified difference and statistical bias correction at daily, monthly and annual time scales were developed and validated to minimize the bias. Amongst these, correction functions derived using modified difference method at daily time scale for rainfall and at monthly time scale for Tmax and Tmin were found to be the superseding.

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Published

01-06-2015

How to Cite

SAMANPREET KAUR, S.K. JALOTA, HARSIMRAN KAUR, B.B. VASHISHT, U.R. JALOTA, & P.P.S. LUBANA. (2015). Evaluation of statistical corrective methods to minimize bias at different time scales in a regional climate model driven data. Journal of Agrometeorology, 17(1), 29–35. https://doi.org/10.54386/jam.v17i1.972

Issue

Vol. 17 No. 1 (2015): June

Section

Research Paper

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