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Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing

Rajdeep Singh Sohal Corresponding Author

Assistant Professor, Department of Electronics Technology, Guru Nanak Dev University, Amritsar

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar

JournalPIJST
Volume / Issue1 / 3
Pages46–51
Published31 Mar 2024
Paper IDPIJST13M24006
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Article summary

Abstract

- This research investigates precipitation deviations using the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) dataset within the Google Earth Engine (GEE) platform. CHIRPS, developed by the Climate Hazards Group at the University of California, Santa Barbara, in collaboration with the U.S. Geological Survey, provides high-resolution daily precipitation data from 1981 to the present. Leveraging its spatial resolution of 0.05 degrees, we analyzed precipitation patterns over a specified region from 1982 to 2022. The methodology involves comprehensive data preprocessing, including loading, subsetting, and handling missing values using JavaScript in GEE. Climatology was calculated by aggregating the data monthly to establish a baseline of expected precipitation patterns. Deviations from this baseline were computed to identify anomalies. The CHIRPS dataset’s integration into GEE enabled robust spatial and temporal visualization and statistical analysis of precipitation anomalies. This study underscores CHIRPS’s crucial role in enhancing our understanding of precipitation variability, informing climate adaptation strategies, and improving hydrological, agricultural, and disaster risk management practices. The findings contribute valuable insights into precipitation trends and their implications in the context of global climate change.

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How to cite this article

Rajdeep Singh Sohal, Madhav, Chandan Sharma, Manasvi Tikoo, Aryan Dhanotra (2024). Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing. Procedure International Journal of Science and Technology, 1(3), 46–51. https://doi.org/10.62796/pijst.2024v1i306

Rajdeep Singh Sohal, Madhav, Chandan Sharma, Manasvi Tikoo, Aryan Dhanotra. “Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing.” Procedure International Journal of Science and Technology, vol. 1, no. 3, 2024, pp. 46–51. https://doi.org/10.62796/pijst.2024v1i306

Rajdeep Singh Sohal, Madhav, Chandan Sharma, Manasvi Tikoo, Aryan Dhanotra. “Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing.” Procedure International Journal of Science and Technology 1, no. 3 (2024): 46–51. https://doi.org/10.62796/pijst.2024v1i306

Rajdeep Singh Sohal, Madhav, Chandan Sharma, Manasvi Tikoo, Aryan Dhanotra (2024) ‘Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing’, Procedure International Journal of Science and Technology, 1(3), pp. 46–51. Available at: https://doi.org/10.62796/pijst.2024v1i306.

Rajdeep Singh Sohal, Madhav, Chandan Sharma, Manasvi Tikoo, Aryan Dhanotra, “Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing,” Procedure International Journal of Science and Technology, vol. 1, no. 3, pp. 46–51, 2024. https://doi.org/10.62796/pijst.2024v1i306.

Rajdeep Singh Sohal, Madhav, Chandan Sharma, Manasvi Tikoo, Aryan Dhanotra. Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing. Procedure International Journal of Science and Technology. 2024;1(3):46–51. https://doi.org/10.62796/pijst.2024v1i306.

Rajdeep Singh Sohal, Madhav, Chandan Sharma, Manasvi Tikoo, Aryan Dhanotra. Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing. Procedure International Journal of Science and Technology 2024, 1 (3), 46–51. https://doi.org/10.62796/pijst.2024v1i306.

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Published31 Mar 2024
DOI assigned31 Mar 2024
Record versionVersion of Record

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Copyright © 2024 Author(s). This work is published by Procedure International Journal of Science and Technology under the Creative Commons Attribution-NonCommercial 4.0 International. Authors retain copyright and grant the journal the right of first publication.

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References

Showing first 3 of 20 references.

  1. Funk, C., et al. (2015). “The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes.” Scientific Data.
  2. Dinku, T., et al. (2018). “Validation of the CHIRPS satellite rainfall estimates over eastern Africa.” Quarterly Journal of the Royal Meteorological Society.
  3. Shukla, S., et al. (2014). “A quasi-global drought monitoring system using multiple climate data sets.” Journal of Hydrometeorology.

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