Understanding the influence of teleconnections on Indian summer monsoon rainfall and agricultural productivity: a case study of Haryana, India (1980–2023)

ABSTRACT This study examines the impact of interaction of El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) teleconnections on Indian Summer Monsoon Rainfall (ISMR) in Haryana state, India, from 1980 to 2023. As the second-largest contributor of food grains in India, with 86% of its cultivated area, Haryana is vital for studying the impacts of teleconnections. Results indicate that ENSO has a stronger influence on ISMR than IOD, with significant correlations ranging from −0.69 to −0.15, while IOD correlations were non-significant, ranging from −0.25 to 0.12. During El Niño years with neutral IOD, rainfall reduced by up to 50%, while reductions were less during El Niño with positive IOD. These findings align with vertically integrated moisture transport and convective available potential energy data. The normalized difference vegetation index variation closely follows ISMR variation, indicating higher rainfall benefits vegetation growth while lower rainfall hampers it. Rice (Oryza sativa) cultivation increased, whereas crops like bajra (Pennisetum glaucum), maize (Zea mays), and jowar (Sorghum vulgare) showed varying trends. Regression analysis reveals complex relationships between temperature, rainfall, and crop productivity. This research enhances understanding of climate change effects on ISMR dynamics in Haryana, offering valuable insights for policymakers and stakeholders to optimize hydrological resource utilization.

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Publication Details

Journal
Journal of Water and Climate Change
Published
2024-11-21
DOI
https://doi.org/10.2166/wcc.2024.311
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.85
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article

Understanding the influence of teleconnections on Indian summer monsoon rainfall and agricultural productivity: a case study of Haryana, India (1980–2023)

Alka Rani, Abhishek Danodia, P. S. Dahiya, Abhilash Singh Chauhan et al.
3 citations
Journal of Water and Climate Change
Climate variability and models
0.85
article

Understanding the influence of teleconnections on Indian summer monsoon rainfall and agricultural productivity: a case study of Haryana, India (1980–2023)

Alka Rani, Abhishek Danodia, P. S. Dahiya, Abhilash Singh Chauhan, Rajesh Kumar Singh Maurya
article en
3 citations

Abstract

ABSTRACT This study examines the impact of interaction of El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) teleconnections on Indian Summer Monsoon Rainfall (ISMR) in Haryana state, India, from 1980 to 2023. As the second-largest contributor of food grains in India, with 86% of its cultivated area, Haryana is vital for studying the impacts of teleconnections. Results indicate that ENSO has a stronger influence on ISMR than IOD, with significant correlations ranging from −0.69 to −0.15, while IOD correlations were non-significant, ranging from −0.25 to 0.12. During El Niño years with neutral IOD, rainfall reduced by up to 50%, while reductions were less during El Niño with positive IOD. These findings align with vertically integrated moisture transport and convective available potential energy data. The normalized difference vegetation index variation closely follows ISMR variation, indicating higher rainfall benefits vegetation growth while lower rainfall hampers it. Rice (Oryza sativa) cultivation increased, whereas crops like bajra (Pennisetum glaucum), maize (Zea mays), and jowar (Sorghum vulgare) showed varying trends. Regression analysis reveals complex relationships between temperature, rainfall, and crop productivity. This research enhances understanding of climate change effects on ISMR dynamics in Haryana, offering valuable insights for policymakers and stakeholders to optimize hydrological resource utilization.

Journal of Water and Climate ChangeVol. 15(12)
Lovely Professional University (IN), Indian Institute of Soil Science (IN), Chaudhary Charan Singh Haryana Agricultural University (IN), ICAR - Central Island Agricultural Research Institute (IN), Indian Institute of Remote Sensing (IN), Indian Institute of Technology Bhubaneswar (IN)
Openalex Percentile: Top 27%
Climate variability and models
0.85
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