A Critical Review of Climate Change Impacts on Groundwater Resources: A Focus on the Current Status, Future Possibilities, and Role of Simulation Models

Atmosphere, Год журнала: 2024, Номер 15(1), С. 122 - 122

Опубликована: Янв. 19, 2024

The Earth’s water resources, totalling 1.386 billion cubic kilometres, predominantly consist of saltwater in oceans. Groundwater plays a pivotal role, with 99% usable freshwater supporting 1.5–3 people as drinking source and 60–70% for irrigation. Climate change, temperature increases altered precipitation patterns, directly impacts groundwater systems, affecting recharge, discharge, temperature. Hydrological models are crucial assessing climate change effects on groundwater, aiding management decisions. Advanced hydrological models, incorporating data assimilation improved process representation, contribute to understanding complex systems. Recent studies employ numerical assess recharge that could help the groundwater. vulnerability assessments vary spatial temporal considerations, well assumptions modelling susceptibility. This review assesses stresses importance accurate sustainable resource management. It highlights challenges related soil aquifer properties, multiple stressors, adaptive capacity, topography contamination processes, gradual sea level rise scenarios, realistic representations region study. With advancements modelling, including integration uncertainty quantification remote sensing data, artificial intelligence assist efforts improve modelling.

Язык: Английский

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CAMELS‐SE: Long‐term hydroclimatic observations (1961–2020) across 50 catchments in Sweden as a resource for modelling, education, and collaboration

Geoscience Data Journal, Год журнала: 2024, Номер unknown

Опубликована: Фев. 15, 2024

Abstract This paper introduces a community‐accessible dataset comprising daily hydroclimatic variables (precipitation, temperature, and streamflow) observed in 50 catchments Sweden (median size of 1019 km 2 ). The covers 60‐year period (1961–2020) includes information on geographical location, landcover, soil classes, hydrologic signatures, regulation for each catchment. Data were collected from various sources, such as the Swedish Meteorological Hydrological Institute, Geological Survey, several Copernicus products provided by European Environment Agency. compiled, spatially‐matched, processed data are publicly available online through National Service ( https://snd.se/en ), contributing new region to collection existing CAMELS (Catchment Attributes Meteorology Large‐sample Studies) datasets. CAMELS‐SE spans wide range hydroclimatic, topographic, environmental catchment properties, making it valuable resource researchers practitioners study hydrological processes, climate dynamics, impacts, sustainable water management strategies Nordic regions.

Язык: Английский

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Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone?

Journal of Hydrology, Год журнала: 2024, Номер 632, С. 130829 - 130829

Опубликована: Фев. 20, 2024

Multi-model combination (averaging) methods (MMCMs) are used to improve the accuracy of hydrological (precipitation-runoff) outputs in simulation or forecasting/prediction modes. In this paper, we examined if application MMCMs can model performance reproducing distributions signatures, such as annual maxima minima varying durations. To end, ten were applied 29 bucket-type models simulate runoff 50 high-latitude catchments. The evaluated by comparing resulting simulated flows reference (i.e., best-performing) individual model, considering various commonly indicators, well signatures. Additionally, analysed whether (1) selection candidate models, (2) targeting specific minima, combinations. results suggest that simulations terms traditional but fails Neither excluding poor-performing nor applying with targeted improves aspect performance. These findings clearly reveal need for further research aiming at enhancing which is essential climate-change impact studies.

Язык: Английский

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Assessing temperature and precipitation bias nonstationarity of CMIP6 global climate models over Iran

Theoretical and Applied Climatology, Год журнала: 2025, Номер 156(2)

Опубликована: Янв. 10, 2025

Язык: Английский

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Review of bias correction methods for climate model outputs in hydrology

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133213 - 133213

Опубликована: Апрель 1, 2025

Язык: Английский

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Extreme gradient and boosting algorithm for improved bias-correction and downscaling of CMIP6 GCM data across indian river basin

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 59, С. 102443 - 102443

Опубликована: Май 5, 2025

Язык: Английский

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Navigating the Depths: A Comprehensive Review of Numerical Groundwater Models – Objectives, Advantages & Challenges

Опубликована: Фев. 19, 2024

The Earth's fresh water resources predominantly is groundwater that pumped out due to rapid urbanization and aggravated by climate change. Groundwater modeling a crucial tool for understanding aquifer systems, employing 1D, 2D, 3D numerical models with distinct applications. One-dimensional focus on vertical dynamics, examining properties simulating contaminant transport. Two-dimensional extend regional scales, considering horizontal variations assessing groundwater-surface interactions, making them valuable watershed-scale studies. Three-dimensional provide comprehensive representation of hydrogeological capturing intricate flow patterns aiding site-specific assessments. Comparative analysis reveals model strengths limitations, emphasizing the importance calibration reliable results. Case studies showcase practical applications, such as 1D in flooding 2D debris flows. proves essential complex river-aquifer exchange fluxes. Future directions call global platform address data variability technical challenges. Despite substantial investments required, anticipated returns scientific advancements, societal benefits, economic gains are expected outweigh initial costs. This review aims highlighting significance advancing all three-dimension sustainable resource management environmental protection.

Язык: Английский

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Toward the reliable use of reanalysis data as a reference for bias correction in climate models: A multivariate perspective

Journal of Hydrology, Год журнала: 2024, Номер unknown, С. 132102 - 132102

Опубликована: Сен. 1, 2024

Язык: Английский

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Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models

Journal of Hydrology and Hydromechanics, Год журнала: 2024, Номер 72(4), С. 499 - 512

Опубликована: Ноя. 21, 2024

Abstract Climate warming is causing an increase in extreme hydrometeorological events most parts of the world. This phenomenon expected to continue and will affect frequency intensity precipitation events. Although bias correction regional climate model simulations has also been used assess changes extremes at daily longer time steps, trends series predicted have seldom considered. We present a novel technique that allows for correcting biases upper tails Generalized Extreme Value (GEV) distribution, while preserving trend projected extremes. The concept non-stationary demonstrated case study which we four EURO-CORDEX RCM models estimate future rainfall quantiles. Historical observations correct historical runs RCMs. mean relative change quantiles between 1991–2021 period horizon 2080 was found be 13.5% (st. dev.: 2.9%) return 2 years, tends decline with increasing periods. Upon periods 50 100 5.5% 1.1%) 4.8% 1%), respectively.

Язык: Английский

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Exploring an intelligent adaptation method of hydrological model parameters for flood simulations based on the light gradient-boosting machine

Journal of Hydrology, Год журнала: 2023, Номер 626, С. 130340 - 130340

Опубликована: Окт. 16, 2023

Язык: Английский

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