Climatic variability and its characterisation over Punjab, India

Authors

  • P. K. KINGRA School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana-141004
  • RAJ SETIA Punjab Remote Sensing Centre, Ludhiana
  • SIMRANJEET SINGH Punjab Remote Sensing Centre, Ludhiana
  • JATINDER KAUR School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana-141004
  • SATINDER KAUR School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana-141004
  • SOM PAL SINGH School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana-141004
  • S. S. KUKAL College of Agriculture, Punjab Agricultural University, Ludhiana
  • BRIJENDRA PATERIYA Punjab Remote Sensing Centre, Ludhiana

DOI:

https://doi.org/10.54386/jam.v19i3.664

Keywords:

Climatic variability, GIS,, Mann-Kendall test, Punjab

Abstract

The climate data (maximum temperature, minimum temperature and rainfall) of forty year (1974-2013) was analysed for kharif (May to October) and rabi (November to April) seasons in Punjab, India. The non-parametric Mann-Kendall and Sen’s methods were used to determine trend (positive or negative) in climate data over a period of 40 years. A decrease in rainfall and increase in temperature from northeast to south-west Punjab during both the kharif and rabi seasons was observed. No significant temporal variation was observed in maximum temperature and rainfall during both the seasons, but a significant increase in minimum temperature over the years was observed in different zones of Punjab. On an average, minimum temperature is increasing at 0.05oC per year during both the seasons. 

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Published

01-09-2017

How to Cite

P. K. KINGRA, RAJ SETIA, SIMRANJEET SINGH, JATINDER KAUR, SATINDER KAUR, SOM PAL SINGH, S. S. KUKAL, & BRIJENDRA PATERIYA. (2017). Climatic variability and its characterisation over Punjab, India. Journal of Agrometeorology, 19(3), 246–250. https://doi.org/10.54386/jam.v19i3.664

Issue

Vol. 19 No. 3 (2017): September

Section

Research Paper

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