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Comparative evaluation of high-resolution rainfall products over South Peninsular India in characterising precipitation extremes

Author

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  • M. R. Sneha

    (Amrita Vishwa Vidyapeetham)

  • Archana Nair

    (Amrita Vishwa Vidyapeetham)

Abstract

Extreme rainfall events are becoming more frequent in South Peninsular India (SPI), which is resulting in an increase in flash floods, landslides, and damage to agriculture and infrastructure. However, because of the scarcity of rainfall data over remote areas and oceans, the reanalysis datasets are a boon for understanding various meteorological phenomenon. India's first high-resolution reanalysis dataset, Indian Monsoon Data Assimilation and Analysis (IMDAA), simulates past climate data at the regional or local levels. In this study, a comprehensive evaluation of IMDAA is carried out with respect to Indian Meteorological Department (IMD) daily gridded dataset over SPI during 2000–2020. It was found that monsoon and post-monsoon seasons demonstrated strong compatibility whereas annual and pre-monsoon seasons displayed some dissimilarity as depicted by Mahalanobis metric. Spatiotemporal analysis of IMDAA in capturing seasonal and annual climatic variations implied that the reanalysis product considerably showed a similar pattern to that of IMD neglecting some overestimations. According to the study, an analogy of 96% can be seen between IMDAA and IMD on an average scale. Results also suggest the efficiency of IMDAA model in capturing some extreme rainfall episodes better than the IMD. Consequently, the findings provide insight into the reanalysis product's ability to depict climatic variability and reliability in employing precipitation data estimated by IMDAA in modelling extreme events over SPI.

Suggested Citation

  • M. R. Sneha & Archana Nair, 2023. "Comparative evaluation of high-resolution rainfall products over South Peninsular India in characterising precipitation extremes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(2), pages 1969-1999, June.
    • Handle: RePEc:spr:nathaz:v:117:y:2023:i:2:d:10.1007_s11069-023-05936-9
    DOI: 10.1007/s11069-023-05936-9
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    References listed on IDEAS

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    1. Matcharashvili, Teimuraz & Zhukova, Natalia & Chelidze, Tamaz & Founda, Dimitra & Gerasopoulos, Evangelos, 2017. "Analysis of long-term variation of the annual number of warmer and colder days using Mahalanobis distance metrics — A case study for Athens," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 22-31.
    2. Saba Naz & Mirza Jawwad Baig & Syed Inayatullah & Tanveer Ahmed Siddiqi & Muhammad Ahsanuddin, 2019. "Flood Risk Assessment of Guddu Barrage using Gumbel’s Distribution," International Journal of Sciences, Office ijSciences, vol. 8(04), pages 33-38, April.
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