Understanding the spatio-temporal distribution of rainfall characteristics has a major role in assessing availability water resources over catchment. Therefore, it is necessary to understand changes using gridded precipitation data and robust statistical analysis for making decisions. In this study, trends extremes Nagavali Vamsadhara river basins are studied at three time steps (long-term-1901-2018, pre-1950, post-1950) with four different Mann-Kendall (MK) tests daily 118 years...

Abstract Atmospheric warming is expected to increase the magnitude and frequency of extreme climatic events namely floods, droughts, heat waves, so on. Thus, present study attempts answer following research questions; (i) What are possible implications on future wave due projected temperature? (ii) changes in properties under different classifications climate scenarios? (iii) Whether projection differ significantly CMIP5 CMIP6 experiments over India? To above questions, uses bias‐corrected...

Abstract Climate change significantly impacts the natural systems, accelerating global water cycle, and impacting various ecosystem services. However, expected effects of climate on frequency severity extreme events hydrological systems vary with location. The present study investigates uncertainties engulfed in predictions for Tungabhadra River Basin. ensemble streamflow projections were generated using four models, five scenarios to illustrate associated uncertainties. uncertainty...

Abstract The effect of climate change on water availability and agriculture demand is crucial for assessing agricultural productivity economic development in semi-arid regions. present study examines the crop requirement (CWR) irrigation (IWR) Bhadra Tungabhadra (TB) command areas, with a focus forecasting future needs. Using CROPWAT 8.0 software, CWR IWR were estimated base period (1975–2010) three periods: near (2023–2048), middle (2049–2074), far (2075–2099). Five best-performing Global...

Abstract Equity in water supply is one of the major problems faced intermittent distribution systems. A new index ‘uniformity coefficient’ introduced to measure equity within network, which may be useful for performance evaluation networks ( WDNs ). An iterative head‐driven analysis technique developed compute uniformity coefficient a network. The effect various design parameters WDN on uniform studied. results indicate that significantly affected by location tank and layout can improved an...

ABSTRACT The infrastructure design is primarily based on rainfall intensity–duration–frequency ( IDF ) curves, and the existing curves are concept of stationary extreme value theory EVT (i.e. occurrence probability precipitation not expected to change significantly over time). But, events increasing due global climate questioning reliability our current design. Based recent developments in , studies proposed a method for developing non‐stationary curve by incorporating linear trend location...

In this study, classification- and regression-based statistical downscaling is used to project the monthly monsoon streamflow over Wainganga basin, India, using 40 global climate model (GCM) outputs four representative concentration pathways (RCP) scenarios. Support vector machine (SVM) relevance (RVM) are considered perform downscaling. The RVM outperforms SVM simulate future projections of flows for different periods. addition, variability in water availability with uncertainty change...

Assessing the risk to agricultural system is important for sustainability. The present study analyses drought with respect different severities. Different indices – namely, Standardized Precipitation Evapotranspiration Index (SPEI), Soil moisture (SSI), Vegetation Condition (VCI), and Temperature (TCI) are used evaluate conditional probability. Non-stationary analysis carried out SPEI SSI incorporate impact of large-scale oscillations regional hydrological variability. Copula performed...

Abstract Event-based hydrological models are extensively adopted for the estimation of design floods and in operational flood forecasting frameworks. However, an accurate initial hydrologic condition (IHC) is essential enhancing predictive capability event-based model. Hence, this study, IHCs conceptual model estimated using two different methods: (1) assimilation observed variables such as streamflow soil moisture ensemble Kalman filter (2) states obtained from continuous calibrated four...

Abstract The present study aims to answer the following two research questions using future outputs from 19 GCMs of novel NASA Earth Exchange Global Daily Downscaled Projections (NEX‐GDDP) under Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. (a) What will be possible variability meteorological drought properties during 21st century? (b) influence temperature in modulating properties? In order above questions, five different namely frequency, severity, duration, peak, areal...

In the present study a total of 201 research articles from around globe over review period 2001 to 2021 are identified and investigated. The has some grand challenges associated with ensemble flood forecasting (EFF). addition, future opportunities including development quality-controlled datasets for longer duration, new techniques weigh ensembles, inclusion more physically based in data assimilation techniques, simulation observable states by hydrological models facilitate assimilation,...