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<p>Climate change has influenced precipitation variations which have implications for the hydrological cycle, flood, drought, and water resource management. This study analyses long-term precipitation trends and explores teleconnections such as the Indian Ocean Dipole (IOD) and El Nino/Southern Oscillation (ENSO) in the Alaknanda River basin, Uttarakhand, India. The present study used long-term gridded data (0.25° × 0.25°) of precipitation provided by the India Meteorological Department <b>(</b>IMD) from 1960 to 2020. Mann-Kendall test (MKT) and Sen’s Slope test (SST) were used to detect the presence and magnitude of the trend, respectively. Furthermore, Pettitt’s test was utilized to observe abrupt change points in the data series. The result shows a significant negative trend during winter and post-monsoon seasons, a significant positive trend during the monsoon season, and no trend in the pre-monsoon and annual precipitation. Moreover, a negative correlation of ENSO and a positive correlation of West IOD with summer monsoon was detected. Therefore, this paper provides information on changing precipitation pattern which may be useful to manage water resources effectively and mitigate the potential impacts of climate change on the region’s hydrological dynamics.</p>

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Teleconnections and Long-term Precipitation Trends in the Alaknanda River Basin, Uttarakhand, India

  • 期刊论文

  • 发表日期：

    2025年1月10日

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  • Rekha Sahu,
  • Parvendra Kumar,
  • Rajnandini Gupta,
  • Santram Ahirwar

摘要

Climate change has influenced precipitation variations which have implications for the hydrological cycle, flood, drought, and water resource management. This study analyses long-term precipitation trends and explores teleconnections such as the Indian Ocean Dipole (IOD) and El Nino/Southern Oscillation (ENSO) in the Alaknanda River basin, Uttarakhand, India. The present study used long-term gridded data (0.25° × 0.25°) of precipitation provided by the India Meteorological Department (IMD) from 1960 to 2020. Mann-Kendall test (MKT) and Sen’s Slope test (SST) were used to detect the presence and magnitude of the trend, respectively. Furthermore, Pettitt’s test was utilized to observe abrupt change points in the data series. The result shows a significant negative trend during winter and post-monsoon seasons, a significant positive trend during the monsoon season, and no trend in the pre-monsoon and annual precipitation. Moreover, a negative correlation of ENSO and a positive correlation of West IOD with summer monsoon was detected. Therefore, this paper provides information on changing precipitation pattern which may be useful to manage water resources effectively and mitigate the potential impacts of climate change on the region’s hydrological dynamics.