2021
DOI: 10.1007/s00704-021-03861-0
|View full text |Cite
|
Sign up to set email alerts
|

Spatiotemporal assessment of precipitation variability, seasonality, and extreme characteristics over a Himalayan catchment

Abstract: This paper presents a detailed spatiotemporal analysis of the rainfall variability, seasonality, and the extreme characteristics of Tehri catchment located in the lower Himalayan region in India. To this end, the daily rainfall data is extracted from 22 grids for 117 years from the high-resolution (0.25° × 0.25°) gridded observation dataset. Monthly rainfall distribution is evaluated using precipitation concentration index (PCI) and seasonality index. The extreme rainfall indices, viz., maximum 1-day rainfall… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 56 publications
(14 citation statements)
references
References 54 publications
0
12
0
Order By: Relevance
“…The SI MA of QT is more than 1.0 in IMS but approximately 0.8 in all products, which suggests that products failed to match the seasonality of QT. This phenomenon could be conducted by topographic effects with poorly estimated precipitation in mountainous areas [53]. Four precipitation products show obvious spatial heterogeneity in the annual SI trend (Figure 5).…”
Section: Discussionmentioning
confidence: 99%
“…The SI MA of QT is more than 1.0 in IMS but approximately 0.8 in all products, which suggests that products failed to match the seasonality of QT. This phenomenon could be conducted by topographic effects with poorly estimated precipitation in mountainous areas [53]. Four precipitation products show obvious spatial heterogeneity in the annual SI trend (Figure 5).…”
Section: Discussionmentioning
confidence: 99%
“…Previous study by Guhathakurta and Saji (Guhathakurta and Saji 2013) on spatiotemporal rainfall variability and trend in the state of Maharashtra, India found that SI helps in determining the distribution of the monthly rainfall and the information gained also enable a proper division between the states into different rainfall intensity regimes. This method has also been applied to other regions to gain a better insight into rainfall seasonality and its impact at a local scale (Livada and Asimakopoulos 2005;Mao et al 2022;Swain et al 2022).…”
Section: Introductionmentioning
confidence: 99%
“…The flooding events may take place due to any of the reasons like the inadequate or outdated design of drainage system, extreme rainfall events, increase in surface runoff, or filling up of natural storage facilities like depressions, reservoirs, etc. (Bai et al, 2019;Diaz-Granados et al, 2009;Huang et al, 2010;Rosa et al 2020;Quan et al, 2012;Swain et al, 2021). Therefore, it is of utmost concern to draw out a solution to minimize the impacts of urban flooding, especially in India and other developing countries.…”
Section: Introductionmentioning
confidence: 99%