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Journal of Mountain Science

, Volume 12, Issue 2, pp 417–433 | Cite as

Trend in observed and projected maximum and minimum temperature over N-W Himalayan basin

  • Dharmaveer Singh
  • Sanjay K. Jain
  • Rajan Dev GuptaEmail author
Article

Abstract

Recently, study in past trends of climate variables gained significant consideration because of its contribution in adaptions and mitigation strategies for potential future changes in climate, primarily in the area of water resource management. Future inter-annual and inter-seasonal variations in maximum and minimum temperature may bring significant changes in hydrological systems and affect regional water resources. The present study has been performed to observe past (1970–2010) as well as future (2011–2100) spatial and temporal variability in temperature (maximum and minimum) over selected stations of Sutlej basin located in North-Western Himalayan region in India. The generation of future time series of temperature data at different stations is done using statistical downscaling technique. The non-parametric test methods, modified Mann-Kendall test and Cumulative Sum chart are used for detecting monotonic trend and sequential shift in time series of maximum and minimum temperature. Sen’s slope estimator test is used to detect the magnitude of change over a period of time on annual and seasonal basis. The cooling experienced in annual TMax and TMin at Kasol in past (1970–2010) would be replaced by warming in future as increasing trends are detected in TMax during 2020s and 2050s and in TMin during 2020s, 2050s and 2080s under A1B and A2 scenarios. Similar results of warming are also predicted at Sunni for annual TMin in future under both scenarios which witnessed cooling during 1970–2010. The rise in TMin at Rampur is predicted to be continued in future as increasing trends are obtained under both the scenarios. Seasonal trend analysis reveals large variability in trends of TMax and TMin over these stations for the future periods.

Keywords

Statistical downscaling model Canadian Coupled Global Climate Model Temperature Mann-Kendall test Sen’s slope estimator 

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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Dharmaveer Singh
    • 1
  • Sanjay K. Jain
    • 2
  • Rajan Dev Gupta
    • 1
    • 3
    Email author
  1. 1.GIS CellMotilal Nehru National Institute of Technology AllahabadAllahabadIndia
  2. 2.Water Resources Systems DivisionNational Institute of HydrologyRoorkeeIndia
  3. 3.Department of Civil EngineeringMotilal Nehru National Institute of Technology AllahabadAllahabadIndia

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