Regional Shifts in Precipitation Patterns and Indices in Northeast India

Authors

  • Akshara N G Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, Bandar Sindri, Kishangarh, Ajmer, Rajasthan, India Author
  • Arunkumar R Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, Bandar Sindri, Kishangarh, Ajmer, Rajasthan, India Author
  • Toru Terao Faculty of Education, Kagawa University, Takamatsu, Japan. Author
  • Aditya Sharma School of Public Policy, Indian Institute of Technology, Delhi, India Author
  • Unashish Mondal Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, Bandar Sindri, Kishangarh, Ajmer, Rajasthan, India Author
  • Devesh Sharma Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, Bandar Sindri, Kishangarh, Ajmer, Rajasthan, India Author
  • S. K. Panda Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, Bandar Sindri, Kishangarh, Ajmer, Rajasthan, India Author
  • Arunkumar R Author

DOI:

https://doi.org/10.64862/

Keywords:

Indian Ocean Dipole, El Niño Southern Oscillation, Precipitation Indices, Cimapact2.

Abstract

This study delves into the recent decline in rainfall observed in Northeast India (NEI). It investigates the factors driving this decrease, emphasizing the influence of climatic phenomena such as the El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), along with the broader impacts of climate change on regional precipitation patterns. The study aims to analyze temporal variations in Precipitation Indices (PI) over NEI, employing the ETCCDI precipitation indices like consecutive dry days (CDD), consecutive wet days (CWD), and total precipitation (PRCPTOT). PI are calculated using the ClimPACT2 software, facilitating the analysis of temporal variations. Furthermore, temporal trends experienced by the indices throughout the study period are comprehended through the application of the Mann-Kendall test. Findings indicate a significant increase in CDD alongside significant decreases in CWD and PRCPTOT, underscoring shifting precipitation dynamics in NEI.

References

Gu, Z., Li, Y., Qin, M., Ji, K., Yi, Q., Li, P., and Feng, D. (2024). Spatiotemporal variation characteristics of extreme precipitation in Henan Province based on RClimDex model. Atmosphere, 15(11), 1399. https://doi.org/10.3390/atmos15111399

Funk, C., Harrison, L., Alexander, L., Peterson, P., Behrangi, A., and Husak, G. (2019). Exploring trends in wet-season precipitation and drought indices in wet, humid and dry regions. Environmental Research Letters, 14 (11), 115002. https://doi.org/10.1088/1748-9326/ab4a6c

Gajić-Čapka, M., Cindrić, K., and Pasarić, Z. (2015). Trends in precipitation indices in Croatia, 1961–2010. Theoretical and Applied Climatology, 121 (1), 167–177. https://doi.org/10.1007/s00704-014-1217-9

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Published

2025-11-27

Data Availability Statement

The datasets generated in this study are available from the corresponding authors upon reasonable request.

Issue

Vol. 2 No. Sp Issue (2025): Extended Abstract Volume of the ARC-15 of IAEG, Asian Journal of Engineering Geology

Section

ARC15 Extended Abstract

License

Copyright (c) 2025 Nepal Society of Engineering Geology (NSEG)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Regional Shifts in Precipitation Patterns and Indices in Northeast India. (2025). Asian Journal of Engineering Geology, 2(Sp Issue), 315-316. https://doi.org/10.64862/

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