Increased hydropower but with an elevated risk of reservoir operations in India under the warming climate

Chuphal, Dipesh Singh; Mishra, Vimal

doi:10.1016/j.isci.2023.105986

Cited by 7 publications

(5 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gridded temperature from IMD is unavailable for the 1901–1950 period, therefore, we used the bias-corrected temperature from the Princeton database for the 1901–1950 period at 0.25° spatial resolution. The Princeton temperature data has been used in several hydrological applications in the Indian subcontinent 18 , 53 , 54 . The bias correction of Princeton temperature was performed using the same distribution mapping method 43 , 50 .…”

Section: Methodsmentioning

confidence: 99%

Drought Atlas of India, 1901–2020

Chuphal,

Kushwaha,

Aadhar

et al. 2024

Sci Data

Self Cite

View full text Add to dashboard Cite

India has been considerably affected by droughts in the recent past. Despite the considerable impacts of droughts on agriculture and water resources, long-term datasets to examine droughts and their consequences at appropriate spatial and temporal scales have been lacking in India. Datasets that provide drought information are mostly available for a short period and at coarser resolutions, therefore, these do not comprehend the information regarding the major droughts that occurred in the distant past at administrative scales of decision-making. To fill this critical gap, we developed the high-resolution (0.05°) and long-term monthly precipitation and temperature datasets for the 1901–2021 period. We used long-term high-resolution precipitation and temperature to estimate droughts using standardized precipitation and evapotranspiration index (SPEI). As SPEI considers the role of air temperature in drought estimation, it can be used to examine meteorological, agricultural, and hydrological droughts. Using high-resolution SPEI, we developed drought atlas for India (1901–2020) that can provide comprehensive information on drought occurrence, impacts, and risks in India.

show abstract

Section: Methodsmentioning

confidence: 99%

Drought Atlas of India, 1901–2020

Chuphal,

Kushwaha,

Aadhar

et al. 2024

Sci Data

Self Cite

View full text Add to dashboard Cite

show abstract

“…The simulated streamflow was compared against the observed streamflow at the gauge stations where streamflow observations are available. We performed a manual calibration of the H08 model by adjusting the four parameters 29 , 30 (soil depth, tau, gamma, bulk coefficient) to ensure reasonable agreement between the simulated and observed streamflow. We assessed the model’s performance using the Nash-Sutcliffe Efficiency 31 (NSE) and coefficient of determination (R 2 ) for monthly streamflow.…”

Section: Methodsmentioning

confidence: 99%

“…The H08 model exhibited relatively good performance (NSE and R 2 > 0.7) at gauge stations in the Narmada, Mahi, Tapi, Mahanadi, Ganga, and Brahmaputra river basins. In contrast, the model performance is relatively weaker (NSE and R 2 < 0.5) at locations in Cauvery, Sabarmati, and Indus river basins, which can be attributed to the quality of meteorological and streamflow observations or other input parameters related to soil and vegetation 30 , 37 . The number of selected gauge stations in Indus, Ganga, and Brahmaputra river basins was less than others due to confidentiality in the publicly available streamflow data of the transboundary river basins.…”

Section: Technical Validationmentioning

confidence: 95%

Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021

Chuphal,

Mishra

2023

Sci Data

Self Cite

View full text Add to dashboard Cite

Streamflow is a vital component of the global water cycle. Long-term streamflow observations are required for water resources planning and management, hydroclimatic extremes analysis, and ecological assessment. However, long-term streamflow observations for the Indian-Subcontinental (ISC) river basins are lacking. Using meteorological observations, state-of-the-art hydrological model, and river routing model, we developed hydrological model-simulated monthly streamflow from 1951–2021 for the ISC river basins. We used high-resolution vector-based routing model (mizuRoute) to generate streamflow at 9579 stream reaches in the sub-continental river basins. The model-simulated streamflow showed good performance against the observed flow with coefficient of determination (R2) and Nash-Sutcliffe efficiency (NSE) above 0.70 for more than 60% of the gauge stations. The dataset was used to examine the variability in low, average, and high flow across the streams. Long-term changes in streamflow showed a significant decline in flow in the Ganga basin while an increase in the semi-arid western India and Indus basin. Long-term streamflow can be used for planning water management and climate change adaptation in the Indian sub-continent.

show abstract

“…In other words, the model calibration process is carried out by leveraging discharge data where they are available (e.g., Shin et al (2020); Galelli et al (2022); Chuphal and Mishra (2023)). Naturally, doing so potentially leads to inadequate model calibration for the ungauged regions of a large basin.…”

Section: Introductionmentioning

confidence: 99%

Calibrating macro-scale hydrological models in poorly gauged and heavily regulated basins

Dang

Pianosi

et al. 2023

Preprint

View full text Add to dashboard Cite

Abstract. The calibration of macro-scale hydrological models is often challenged by the lack of adequate observations of river discharge and infrastructure operations. This modelling backdrop creates a number of potential pitfalls for model calibration, potentially affecting the reliability of hydrological models. Here, we introduce a novel numerical framework conceived to explore and overcome these pitfalls. Our framework consists of VIC-Res (a macro-scale model setup for the Upper Mekong River Basin) and a hydraulic model used to infer discharge time series from satellite data. Using these two models and Global Sensitivity Analysis, we show the existence of a strong relationship between the parameterization of the hydraulic model and the performance of VIC-Res – a co-dependence that emerges for a variety of performance metrics we considered. Using the results provided by the sensitivity analysis, we propose an approach for breaking this co-dependence and informing the hydrological model calibration, which we finally carry out with the aid of a multi-objective optimization algorithm. The approach used in this study could integrate multiple remote-sensed observations and is readily transferable to other basins.

show abstract

Increased hydropower but with an elevated risk of reservoir operations in India under the warming climate

Cited by 7 publications

References 61 publications

Drought Atlas of India, 1901–2020

Drought Atlas of India, 1901–2020

Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021

Calibrating macro-scale hydrological models in poorly gauged and heavily regulated basins

Contact Info

Product

Resources

About