Preferences help
enabled [disable] Abstract
Number of results
2018 | 108 | 207-214
Article title

Temperature and Rainfall Trend in Alaknanda Valley Srinagar Garhwal, Uttarakhand, India

Title variants
Languages of publication
The rainfall and temperatures are the most important parameters among the atmosphere as these parameters decide the ecological situation of the specific area, which affects the agricultural productivity. The temperature, and rainfall trends are analysed for meteorological data of Automatic Weather Station (AWS), was installed September 2009 with 22 meteorological parameters in the Department of Rural Technology, HNB Garhwal, University, Srinagar Garhwal, and Uttarakhand. In the study assess the seven-year change in temperature and rainfall has been examination by linear tread analysis. It is observed that in velley of Srinagar Garhwal, Uttarakhand, coefficient of variation for mean temperature for Srinagar Garhwal Valley is highest in the month of February and lowest in the month of August. This means that mean temperature is most stable in the month of August and total monthly rainfall observed highest in the month of November and minimum for the month of July. This shows that rainfall is more stable in the month of July and is more variable in the month of November for the Valley.
Physical description
  • Department of Rural Technology, H.N.B.G.U., Srinagar Garhwal, 246174, India
  • Department of Physics, H.N.B.G.U., Srinagar, Uttarakhand, 246174, India
  • Department of Rural Technology, H.N.B.G.U., Srinagar Garhwal, 246174, India
  • [1] Ajil KS, Thapliyal PK, Shukla MV, Pal PK, Joshi PC, Navalgund RR. 2010. A new technique for temperature and humidity profile retrieval from infrared-sounder observations using adaptive neuro–fuzzy inference system. IEEE Trans. Geosci. Remote Sens. 48: 1650–1659
  • [2] Anantha KR and Soman M K 1988 The onset of the southwest monsoon over Kerala 1901–1980; J. Climatol. 8, 283–296
  • [3] Balling Jr., R.C., Idso, S., Historical temperature trends in the United States and the effect of urban population. Journal of Geophysical Research 94, 3359–3363 (1989).
  • [4] Fasullo J and Webster P J 2003. A hydrological definition of Indian monsoon onset and withdrawal, J. Clim. 16, 3200–3211
  • [5] Gadgil S. 2003. The Indian monsoon and its variability. Ann. Rev. Earth Planet. Sci. 31: 429–467.
  • [6] Goodrich, J.D., Urban bias influences on long-term California air temperature trends. Atmospheric Environment 26B, 1–7 (1992).
  • [7] Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Xavier PK. 2006. Increasing trend of extreme rain events over India in a warming environment. Science 314: 1442–1445.
  • [8] Guhathakurta P, Sreejith OP, Menon PA. 2011. Impact of climate change on extreme rainfall events and flood risk in India. J. Earth Syst. Sci. 120: 359–373.
  • [9] Jewson S, Caballero R. 2003. The use of weather forecasts in the pricing of weather derivatives. Meteorol. Appl. 10(4): 377–389.
  • [10] Karl, T.R., Knight, R.W., Gallo, K.P., Peterson, T.C., Jones, PD., Kukla, G.,& Charlson, R. J. (1993). A new perspective on recent global warming: asymmetric trends of daily maximum and minimum temperature. Bulletin of the American Meteorological Society, 74(6), 1007-1023.
  • [11] Khavse R., Deshmukh, R., Manikandan, N. Chaudhary JL and KaushikStatistical D. Analysis of Temperature and Rainfall Trend in Raipur District of Chhattisgarh. Current World Environment Vol. 10(1), 305-312 (2015)
  • [12] Meze-Hausken E, Patt A, Fritz A. 2009. Reducing climate risk for micro-insurance providers in Africa: a case study of Ethiopia. Global Environ. Change 19: 66–73.
  • [13] Mitra AK, Bohara AK, Rajeevan MN, Krishnamurti TN. 2009. Daily Indian precipitation analysis formed from a merge of rain-gauge data with the TRMM TMPA satellite-derived rainfall estimates. J. Meteorol. Soc. Jpn. 87A: 265–279.
  • [14] Preenu PN, Joseph PV and Dineshkumar PK. Variability of the date of monsoon onset over Kerala (India) of the period 1870–2014 and its relation to sea surface temperature Journal of Earth System Science July 2017, 126:76
  • [15] Rajeevan M, Bhate J, Jaswal AK. 2008. Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys. Res. Lett. 35: L18707.
  • [16] Satyanarayana G. Ch. and Sarat C. Kar, Medium-range forecasts of extreme rainfall events during the Indian summer monsoon Meteorol. Appl. 23: 282–293 (2016).
  • [17] Singh, S., Negi, R.S. and Gautam, A.S. (2018). Study of maximum and minimum temperatures trends at Srinagar Garhwal Valley, Uttarakhand India. Journal of Pharmacognosy and Phytochemistry 2018; 7(1): 2307-2310.
  • [18] Smith C, Lawson N. 2012. Identifying extreme event climate thresholds for greater Manchester, UK: examining the past to prepare for the future. Meteorol. Appl. 19: 326–335.
  • [19] Thornes JE, Stephenson DB. 2001. How to judge the quality and value of weather forecast products. Meteorol. Appl. 8: 307–314.
Document Type
Publication order reference
YADDA identifier
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.