Characterizing spatiotemporal properties of precipitation in the middle Mahanadi subdivision, India during 1901–2017

Sahu, Ramgopal T.; Verma, Shashikant; Verma, Mani Kant; Ahmad, Ishtiyaq

doi:10.1007/s11600-023-01085-6

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…The 2,140 selected on‐site stations were found suitable and of sufficient record length to be used for preparing a high‐resolution grid database (Rajeevan et al., 2006). Recent research on the functionality of grid‐based high‐resolution precipitation datasets for investigating variability and change over the MRB have been published (Sahu et al., 2021a, 2021b, 2021c, 2021d, 2022a, 2022b, 2022c; Sahu, Verma, & Ahmad, 2023; Sahu, Verma, Verma, & Ahmad, 2023). The existing results of the said IMD data set were studied with large‐scale monsoon indicators (ISMI, EASMI, SASMI, and WNPMI) for long‐distance interactions.…”

Section: Study Area and Datamentioning

confidence: 99%

“…This quantification defines the teleconnection between ISMR and the monsoon indices. Analyzing trends and variability in spatial and temporal interactions is an important aspect of conserving the availability of water resources (Sahu, Verma, Verma, & Ahmad, 2023, Sahu, Verma, & Ahmad, 2023; Verma et al., 2021, 2022). Researchers have prioritized practical solutions to changing climate and the environment at multi‐scale systems.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Long‐Distance Interaction Indicator (Monsoon Indices) on Spatio‐Temporal Variability of Precipitation Over the Mahanadi River Basin

Sahu

Verma

Ahmad

2023

Water Resources Research

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Sea Surface Temperature (SST) is the most important physical characteristic of the ocean, that is, the temperature of water at the surface level, and it plays a significant role mainly with latitude (Ashok et al., 2001;Sahai et al., 2003;Verma, 1994). Atmospheric and oceanic behavior have been studied, but recent research has augmented the concern for an incomplete understanding of climate phenomena (Chakraborty & Singhai, 2021;Di Capua et al., 2020;Sundaram & Holland, 2022). The above concern is in connection with multi-scale system interaction, which typically exhibits unique local and non-local interrelationships (a statistical conceptualization). The SST and air temperature have a significant impact on the atmospheric moisture content, which is an

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Section: Study Area and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Long‐Distance Interaction Indicator (Monsoon Indices) on Spatio‐Temporal Variability of Precipitation Over the Mahanadi River Basin

Sahu

Verma

Ahmad

2023

Water Resources Research

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“…Many studies concerning rainfall trends in Indian regions have been carried out using conventional methods, including linear regression, the Mann-Kendall (M-K) test, and Sen's slope estimator, etc. (Verma et al, 2022c, e, f;Sahu et al, 2023a). Wavelet analysis has also been used in recent research, but only in specific areas (Adarsh and Janga Reddy, 2015) or specific regions of the country (Pandey et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Rainfall Trends in India, Incorporating Non-Parametric Tests and Wavelet Synopsis over the Last 117 Years

Kumar,

Verma,

Sahu

et al. 2023

J ENVIRON INFORM LET

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Rainfall trend analysis is very important in the economic and sociocultural context of the country, like the development of irrigation and water resource management practices. In this paper, Mann-Kendall (M-K), Sen’s slope estimator, and wavelet analysis were used to analyze long-term (1901 ~ 2017) annual and seasonal rainfall trends in India. The sequential Mann-Kendall (SQMK) test is used to estimate the temporal variation of rainfall. The analysis shows monsoon precipitation in “Jammu and Kashmir, Himachal Pradesh, Uttarakhand, Uttar Pradesh, Chhattisgarh, Sikkim, Arunachal Pradesh, Mizoram, Assam, Karnataka, Nagaland, Kerala, Meghalaya, and Goa” have significant trends. The above-mentioned states were subjected to a discrete wavelet transform (DWT) analysis using Daubechies (db5-db10) and Symlet (sym5-sym10) mother wavelet families. The analysis revealed that the trends of subdivisions had a short-term periodicity of less than a decade. Therefore, the present study indicates significant changes over time. By utilizing wavelet techniques, it is possible to gain insight into both short- and long-term tendencies, making it simpler to spot patterns and sudden changes. Therefore, the present study by combining non-parametric tests with wavelet synopsis, offers a thorough comprehension of rainfall trends in India. The collaborative use of these techniques improves the precision of trend identification, offering valuable insights to make well-informed decisions for water resource management and climate adaptation strategies.

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Hydrological response to future changes in climate and land use/land cover in the Hanjiang River Basin

Yang,

Xu,

Cao

et al. 2024

Nat Hazards

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Characterizing spatiotemporal properties of precipitation in the middle Mahanadi subdivision, India during 1901–2017

Cited by 9 publications

References 51 publications

Impact of Long‐Distance Interaction Indicator (Monsoon Indices) on Spatio‐Temporal Variability of Precipitation Over the Mahanadi River Basin

Impact of Long‐Distance Interaction Indicator (Monsoon Indices) on Spatio‐Temporal Variability of Precipitation Over the Mahanadi River Basin

Analysis of Rainfall Trends in India, Incorporating Non-Parametric Tests and Wavelet Synopsis over the Last 117 Years

Hydrological response to future changes in climate and land use/land cover in the Hanjiang River Basin

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