Journal of Research

Open Access
UGC CARE (Group 1)
  • Year: 2008
  • Volume: 45
  • Issue: 1and2

Climatic trends in different agroclematic zones of Punjab: I temper ature features and its variability

  • Author:
  • Prabhjyot Kaur, S S Hundal
  • Total Page Count: 11
  • DOI:
  • Page Number: 30 to 40

Department of Agricultural Meteorology, Punjab Agricultural University, Ludhiana

Online published on 5 March, 2012.

Abstract

Temperature variability over the past three decades were analysed for various locations (Ballowal Saunkhri, Amritsar, Ludhiana, Patiala and Bathinda) in different Agroclimatic zones of Punjab on annual, seasonal, monthly and weekly basis. The long term trend analysis of temperature over the past three decades at different locations revealed that maximum temperature has either decreased or no significant trend was noted whereas, the minimum temperature has increased or no significant trend was noted. The mean annual maximum and minimum temperature at Ballowal Saunkhri was 29.7 and 16.1 “C, respectively, at Amritsar was 30.5 and 15.4°C, respectively, at Ludhiana was 29.8 and 16.5 “C, respectively, at Patiala was 30.1 and 17.4°C, respectively and at Bathinda was 31.5 and 16.9 “C, respectively. The highest annual maximum and minimum temperature recorded at Ballowal Saunkhri was 31.0 (2002) and 17.4°C (2002), respectively, at Amritsar was 36.0 (2004) and 16.6°C (2002), respectively, at Ludhiana was 30.8 (2002) and 17.8 “C (2004), respectively, at Patiala was 30.9 (1987) and 18.1°C (1988), respectively and at Bathinda was 32.0 (2002) and 18.3°C (1999), respectively. January was observed to be the coldest month with mean maximum temperature of 19.2, 18.9, 18.3, 18.9 and 19.6°C; mean minimum temperature of 5.2, 3.7, 5.6, 6.6 and 4.8 “C at Ballowal Saunkhri, Amritsar, Ludhiana, Patiala and Bathinda, respectively. May was observed to be the hottest month with highest mean maximum temperature of 38.2, 38.9, 38.6, 38.9 and 40.4 “C at Ballowal Saunkhri, Amritsar, Ludhiana, Patiala and Bathinda, respectively.

Keywords

Annual, Monthly, Seasonal, Temperature, Variability, Weekly