Spatio-temporal trends in observed and downscaled precipitation over Ganga Basin

Arora, H.; Ojha, Chandra Shekhar Prasad; Buytaert, Wouter; Kaushika, G. S.; Sharma, Chetan

doi:10.5194/hess-2017-388

Cited by 8 publications

(2 citation statements)

References 18 publications

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“…In this study, Theil-Sen's slope estimator has been utilized to evaluate the magnitude in precipitation and temperature trends with reference to the percentage change (Singh et al, 2021). Mann-Kendall test has been applied to de ne statistical signi cance of the trend (Arora et al, 2017).…”

Section: Relation Between Glacier Features Changes and Climate Variablesmentioning

confidence: 99%

Linking Variations in Gangotri Glacier Features Mapped at a Large-Scale with Climate Variables

Mitkari

Sofat

Arora

et al. 2023

Preprint

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Changes in glacier area, glacial lakes, debris cover, and geomorphological features such as debris fans have a significant impact on glacial dynamics. Therefore, precise and timely observation and tracking of glacier surface changes is a necessity. The availability of high spatial resolution remote sensing images has made it viable to analyse the glacier surface changes at a local level. However, with increasing spatial resolution, the spectral variability increases, giving rise to additional challenges (such as false changes and misregistration) in the change detection process. These challenges can preferably be dealt with using object-based change detection approach than the conventional pixel-based change detection approach. In this study, a class-object change detection approach has been followed in which the independently classified objects from multi-temporal images are compared to detect the changes. As a case study, the changes in Gangotri Glacier (Uttarakhand Himalayas) features have been studied using high spatial resolution WorldView-2 image and Linear Imaging Self-Scanning System (LISS)-4 image for a three-year period 2011–2014. The spectral correspondences between glacier surface and non-glacier surface have been handled by considering brightness temperature and slope as ancillary data to improvise their distinction. A change detection accuracy of ~ 84% has been obtained using the OBCD approach.

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Section: Relation Between Glacier Features Changes and Climate Variablesmentioning

confidence: 99%

Linking Variations in Gangotri Glacier Features Mapped at a Large-Scale with Climate Variables

Mitkari

Sofat

Arora

et al. 2023

Preprint

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“…We also focus on trend seasonality and changes in extreme precipitation magnitudes using the non-parametric Theil-Sen (TS) slope estimator (Theil, 1950;Sen, 1968), used in several studies (Chandniha et al, 2017;Slater et al, 2021). TS produces more accurate trend magnitude predictions when applied on skewed datasets with several extremes (Arora et al, 2017).…”

Section: Trend Magnitudementioning

confidence: 99%

Investigating Temporal and Spatial Precipitation Patterns in the Southern Mid-Atlantic United States

2022

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The investigation of regional vulnerability to extreme hydroclimatic events (e.g., floods and hurricanes) is quite challenging due to its dependence on reliable precipitation estimates. Better understanding of past precipitation trends is crucial to examine changing precipitation extremes, optimize future water demands, stormwater infrastructure, extreme event measures, irrigation management, etc., especially if combined with future climate and population projections. The objective of the study is to investigate the spatial-temporal variability of average and extreme precipitation at a sub-regional scale, specifically in the Southern Mid-Atlantic United States, a region characterized by diverse topography and is among the fastest-growing areas in North America. Particularly, this work investigates past precipitation trends and patterns using the North American Land Data Assimilation System, Version 2 (NLDAS-2, 12 km/1 h resolution) reanalysis dataset during 1980–2018. Both parametric (linear regression) and non-parametric (e.g., Theil-Sen) robust statistical tools are employed in the study to analyze trend magnitudes, which are tested for statistical significance using the Mann-Kendall test. Standard precipitation indices from ETCCDI are also used to characterize trends in the relative contribution of extreme events to precipitation in the area. In the region an increasing trend (4.3 mm/year) is identified in annual average precipitation with ~34% of the domain showing a significant increase (at the 0.1 significance level) of +3 to +5 mm/year. Seasonal and sub-regional trends are also investigated, with the most pronounced increasing trends identified during summers along the Virginia and Maryland border. The study also finds a statistically significant positive trend (at a 0.05 significance level) in the annual maximum precipitation. Furthermore, the number of daily extremes (daily total precipitation higher than the 95th and 99th percentiles) also depicts statistically significant increases, indicating the increased frequency of extreme precipitation events. Investigations into the proportion of annual precipitation occurring on wet days and extremely wet days (95th and 99th percentile) also indicate a significant increase in their relative contribution. The findings of this study have the potential to improve local-scale decision-making in terms of river basin management, flood control, irrigation scheme scheduling, and stormwater infrastructure planning to address urban resilience to hydrometeorological hazards.

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Current Trends and Projections of Water Resources Under Climate Change in Ganga River Basin

Das

Goyal

2021

The Ganga River Basin: A Hydrometeorological Approach

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Spatio-temporal trends in observed and downscaled precipitation over Ganga Basin

Cited by 8 publications

References 18 publications

Linking Variations in Gangotri Glacier Features Mapped at a Large-Scale with Climate Variables

Linking Variations in Gangotri Glacier Features Mapped at a Large-Scale with Climate Variables

Investigating Temporal and Spatial Precipitation Patterns in the Southern Mid-Atlantic United States

Current Trends and Projections of Water Resources Under Climate Change in Ganga River Basin

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