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Tiwari et al. (2025) Underestimation of Historical Terrestrial Water Storage Droughts in Global Water Models
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Abbasizadeh et al. (2025) Can causal discovery lead to a more robust prediction model for runoff signatures?
This study investigates whether incorporating causal relationships between catchment attributes, climate indices, and runoff signatures can lead to more robust and interpretable prediction models. The findings indicate that models trained on causally identified parent variables, particularly Bayesian Networks and Generalized Additive Models, demonstrate enhanced robustness and parsimony across diverse environments compared to models using all available predictors.
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Harrison et al. (2025) Will landscape responses reduce glacier sensitivity to climate change in High Mountain Asia?
This paper proposes an alternative "Paraglacial Transition Model" for glacier evolution in High Mountain Asia (HMA), where increasing rock debris cover transforms glaciers into rock glaciers and other ice debris landforms, potentially prolonging ice persistence and reducing their sensitivity to climate warming, in contrast to conventional models predicting significant ice loss.
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Rossini et al. (2025) Wildfires In Xerophytic Shrublands of Lihué Calel National Park, La Pampa, Argentina: A Temporal Analysis Based on Climatic and Spectral Indices
This study analyzed climatic and spectral indices over 29 years (1995–2023) to understand the fire regime in xerophytic shrublands of Lihué Calel National Park, Argentina. It found that wet periods followed by dry periods, coupled with increasing temperatures and precipitation, are associated with wildfire events, suggesting a future with heightened fire frequency in these ecosystems.
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Eccles et al. (2025) High-resolution downscaled CMIP6 drought projections for Australia
This study investigates the impacts of climate change on meteorological droughts across Australia using a high-resolution ensemble of downscaled CMIP6 climate models under three Shared Socioeconomic Pathway (SSP) scenarios. It projects consistent increases in drought frequency, duration, spatial extent, and percent time in drought, particularly for southern Australia and when considering evapotranspiration, indicating a significant shift towards more extreme climatic conditions under higher emissions.
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Fallah et al. (2025) The Impact of CO 2 ‐Driven Vegetation Changes on the Future of Flash Drought in the Northern Hemisphere
## Identification - **Journal:** Journal of Geophysical Research Atmospheres - **Year:** 2025...
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Campos et al. (2025) Regional Aspects of Observed Temperature and Precipitation Trends in the Western Mediterranean: Insights From a Timescale Decomposition Analysis
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Gebresellase et al. (2025) Projected impacts of climate and land use changes on streamflow extremes in the upper awash Basin, Ethiopia
This study investigated the projected impacts of climate and land use/land cover (LULC) changes on streamflow extremes in the Upper Awash Basin, Ethiopia. It found that climate change is the dominant driver, significantly increasing high-flow extremes and decreasing low-flow extremes, while LULC changes had statistically non-significant effects.
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Wu et al. (2025) Assessing blue-green infrastructures for urban flood and drought mitigation under changing climate scenarios
This study evaluates the effectiveness of Blue-Green Infrastructures (BGIs) like green roofs, rain tanks, and permeable pavements in mitigating urban floods and droughts under present and future climate scenarios in a Belgian university campus. It found that BGIs significantly reduce discharge volumes and peak flows while substantially enhancing groundwater recharge, demonstrating their potential as a climate change adaptation solution.
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Nasar-u-Minallah et al. (2025) Spatial and temporal assessment of drought dynamics in Bahawalpur (Pakistan) using remote sensing and meteorological data
This study assessed spatial and temporal drought dynamics in Pakistan's Bahawalpur division (2012-2022) using remote sensing and meteorological data, identifying 2012, 2017, and 2022 as severe drought years and forecasting future temperature trends for the region.
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Feng et al. (2025) Disentangling atmospheric, hydrological, and coupling uncertainties in compound flood modeling within a coupled Earth system model
This study leverages the Energy Exascale Earth System Model (E3SM) with multi-component coupling to disentangle atmospheric, hydrological, and coupling uncertainties in compound riverine and coastal flood modeling. It demonstrates the critical role of two-way river-ocean coupling and antecedent soil moisture conditions in amplifying flood impacts, advocating for a broader definition of compound flooding.
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Tang et al. (2025) Analyzing the Driving Mechanism of Drought Using the Ecological Aridity Index Considering the Evapotranspiration Deficit—A Case Study in Xinjiang, China
This study developed a multivariate comprehensive drought index (MCDI) by integrating evapotranspiration deficit (ED) for the first time, alongside atmospheric water deficit, soil moisture, and runoff, using both Copula and nonparametric methods. It found that the nonparametric method was superior, soil moisture was the main driver of ecological drought in Xinjiang, China, and a strong synergistic effect exists between soil moisture and ED.
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Sánchez et al. (2025) One Country, Several Droughts: Characterisation, Evolution, and Trends in Meteorological Droughts in Spain Within the Context of Climate Change
This paper analyzes drought variability in Spain from 1950–2024 using the Standardised Precipitation–Evapotranspiration Index (SPEI) at multiple timescales, revealing a convergence of rising drought severity and persistence across interior Spain.
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Trinh et al. (2025) A modeling framework for assessing compound impacts of storm surges and riverine floods on inundation in ungauged coastal catchments of Central Vietnam
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Kupzig et al. (2025) A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure
This study conducts a controlled model experiment on the global hydrological model WaterGAP3 to evaluate if increased model complexity in river routing, reservoir algorithms, and snow on wetlands leads to better process representation. It finds that volume-dependent river routing generally worsens performance, while reservoir algorithms and snow on wetlands show benefits but require further development.
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Song et al. (2025) Mediterranean rapid warming drives abrupt runoff decline in South China around 2002
This study investigates a pronounced decadal abrupt change (DAC) in summer runoff over South China around 2002 and its teleconnection mechanisms. It reveals that rapid warming of Mediterranean Sea surface temperature (SST) triggered an eastward-propagating atmospheric wave train, establishing an anomalous high-pressure system over East Asia, which led to regional moisture divergence, enhanced surface drying, and ultimately an abrupt decline in South China's summer runoff.
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Prakash et al. (2025) An integrated assessment of hydro-meteorological extremes and water scarcity in a mountainous river catchment under climate change
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Kılıç (2025) Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario
This study assessed the impact of climate change under the SSP5-8.5 scenario on soil erosion in the Ceyhan Basin using the RUSLE model, projecting a 17.1% increase in mean annual soil loss from 4.424 Mg ha⁻¹ yr⁻¹ (1995-2014) to 5.182 Mg ha⁻¹ yr⁻¹ (2041-2060), with new erosion hotspots emerging in southern and central areas.
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Ravinandrasana et al. (2025) The first emergence of unprecedented global water scarcity in the Anthropocene
This study estimates the Time of First Emergence (ToFE) of "Day Zero Drought" (DZD) events globally, attributing their timing and likelihood to human influence, and finds that many regions, including major reservoirs, face high DZD risk by the 2020s and 2030s, with urban populations particularly vulnerable at 1.5 °C warming.
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Bharghavi et al. (2025) Evaluating climate change impact on drought: a comprehensive review of drought indices and future projections
This review systematically evaluates the performance of key drought indices across ten global regions under climate change, finding that climate change exacerbates drought conditions and that the Standardised Precipitation Evapotranspiration Index (SPEI) consistently performs well, while highlighting the increasing role of remote sensing, AI, and ML in drought monitoring and prediction.
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Touré et al. (2025) Spatiotemporal analysis and classification of flood-generating processes in the District of Abidjan using satellite-based rainfall estimates
This study comprehensively evaluates satellite rainfall estimates (SREs) and analyzes urban flooding dynamics in the District of Abidjan from 1990 to 2022, revealing approximately 210 flood events, primarily driven by excessive or short-duration rainfall, which resulted in significant casualties and damages.
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Qing et al. (2025) Delayed formation of Arctic snow cover in response to wildland fires in a warming climate
This study reveals that from 1982 to 2018, Arctic wildland fires significantly increased, causing a substantial delay in snow cover formation primarily due to fire-induced albedo reduction and temperature increases. Projections under a high-emissions scenario indicate a 2.6-fold increase in burned area and an 18-day decrease in annual mean snow cover duration by 2100.
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Wang et al. (2025) Meta-learning-driven intelligent ensemble approach for robust drought evaluation across China
This study develops a Comprehensive Drought Monitoring Model based on a Meta-learning Ensemble Algorithm (CDMMMLEA) that integrates multi-source remote sensing and geospatial data to enhance drought monitoring accuracy and robustness across China from 2001 to 2023, demonstrating superior performance over benchmark models and revealing spatiotemporal drought evolution patterns.
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Lu et al. (2025) Sentinel-1 vegetation optical depth retrievals over the international soil moisture network
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Asmus et al. (2025) The Role of Horizontal Resolution in Modeling Irrigation Effects With a Coupled Regional Climate Model System Up To Convection‐Permitting Scale
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Yang et al. (2025) Propagation dynamics of meteorological, agricultural, and vegetation droughts in China
This study quantified the propagation mechanisms of meteorological, agricultural, and vegetation droughts across China, revealing distinct propagation times and seasonal variations influenced by climate and vegetation types. The findings provide a scientific foundation for enhanced drought monitoring and early warning systems.
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Devanand et al. (2025) The influence of lateral flow on land surface fluxes in southeast Australia varies with model resolution
Lateral flow significantly increases evapotranspiration near major river channels in high-resolution (1 and 4 km) land surface simulations in southeast Australia, consistent with observations. This inclusion reveals resolution-dependent spatial patterns, such as drier ridges at 1 km, which are crucial for improved drought and water availability modeling.
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Rabiei et al. (2025) Deep Learning-Based Short- and Mid-Term Surface and Subsurface Soil Moisture Projections from Remote Sensing and Digital Soil Maps
This study develops a convolutional long short-term memory (ConvLSTM) framework to generate short- and mid-term forecasts of surface and subsurface soil moisture across the contiguous U.S., demonstrating its skill in supporting large-scale drought and flood monitoring despite varying accuracy with lead time, soil texture, and land cover.
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Schmidt et al. (2025) Analysis of the Meso‐Scale Climate of the Galápagos Archipelago by Dynamical Downscaling of Reanalysis Data
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Zhang et al. (2025) Land use and economic development influenced the hotspots of groundwater storage gains and losses in mainland China in the past 20 years
This study identifies groundwater storage change hotspots across mainland China over the past two decades using GRACE/GRACE-FO satellite data. It reveals that land use and economic factors are the primary drivers of these changes, with their influence varying geographically.
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Fang et al. (2025) The applications of radiocesium-137 to soil redistribution and related studies in NE China: a review
This review systematically analyzes the applications of radiocesium-137 (137Cs) in soil redistribution studies in Northeastern China, identifying key research areas and future needs, including the necessity for alternative radionuclides due to 137Cs decay.
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Tang et al. (2025) Radiative–Convective Equilibrium over an Idealized Land Surface with Fixed Soil Moisture
This study uses theory and simulations to understand radiative-convective equilibrium (RCE) over idealized land surfaces with fixed soil moisture, a crucial step for land climate modeling. It finds that potential evapotranspiration primarily scales with surface net radiation, implying only modest increases in global mean aridity with warming, contrary to some prior predictions.
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Suri et al. (2025) Optimal Rain Gauge Network: A Data‐Driven Design for Enhanced Precision in Rainfall Measurements Over Northwest Himalayas
## Identification - **Journal:** International Journal of Climatology - **Year:** 2025...
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Turiano et al. (2025) Evaluating Country-Scale Irrigation Demand Through Parsimonious Agro-Hydrological Modeling
This study introduces WaterCROPv2, an agro-hydrological model designed to estimate national-scale irrigation water demand, demonstrating enhanced reliability and accuracy through validation for maize cultivation in Italy, and identifying potential water savings from efficient irrigation technologies.
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Shandu et al. (2025) Comparative analysis of groundwater potential zones using machine learning and hybrid method in Nelson Mandela Bay Metropolitan Municipality, South Africa
This study developed and applied a hybrid machine learning meta-model to map groundwater potential zones (GWPZs) in the data-scarce Nelson Mandela Bay Metropolitan Municipality, South Africa. The meta-model accurately identified areas with moderate-to-very high groundwater potential, providing a replicable framework for sustainable groundwater management.
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Zeng et al. (2025) The Spatial Patterns and Trends of Sensible and Latent Heat Fluxes in the Northern Drought‐Prone Belt of China
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Momin et al. (2025) Potential Evapotranspiration Employing a Seasonal ARIMA Model for Bagalkot District, Karnataka, India
This study investigates the critical role of reference crop evapotranspiration (ET) in the Bagalkot district's agriculture, applying stochastic linear models, specifically ARIMA, to forecast ET based on historical data for improved irrigation management.
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Zheng et al. (2025) Groundwater Storage as a Key Driver of Subannual Streamflow Variability
This study demonstrates that groundwater storage is a key driver of subannual streamflow variability, significantly buffering streamflow responses to precipitation changes at monthly and seasonal scales, particularly in water-limited regions. It highlights that traditional annual-scale streamflow elasticity overestimates the impact of precipitation on subannual streamflow, necessitating the inclusion of groundwater storage for a comprehensive understanding of hydrological responses to climate variability.
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Kannan et al. (2025) Hydrological drought assessment using drought indices in semi arid zones of Vaippar river sub basins, Tamil Nadu, India
This study assessed hydrological drought in the semi-arid Vaippar river sub-basins of Tamil Nadu, India, using the Streamflow Drought Index (SDI) and Groundwater Resource Index (GRI). It found contrasting conditions, with groundwater experiencing mild to severe drought while surface water remained near-normal to wet, underscoring the critical need for integrated surface and groundwater management.
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Yu et al. (2025) Research on quantitative monitoring of new meteorological-agricultural compound drought characteristics
This study developed the Meteorological-Agricultural Compound Drought Index (AMDI) using Copula methodology to integrate meteorological and agricultural drought variables for China's Huang-Huai-Hai region. The AMDI effectively monitors emerging compound drought patterns, demonstrating higher sensitivity and accuracy than traditional indices for early warning and precise characterization.
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Shi et al. (2025) Improving runoff simulation in cold alpine regions based on VIC-glacier by combining LSTM error correction technology
This study developed and optimized a coupled Variable Infiltration Capacity-Glacier (VIC-glacier) model for the upper Hotan River Basin, demonstrating that integrating Long Short-Term Memory (LSTM) error correction significantly enhances runoff simulation accuracy in cold alpine regions.
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Mondal et al. (2025) Hot Drought of Summer 2023 in Southwestern North America
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Morales et al. (2025) Geochemical, hydrochemical and remote sensing study of an Andean calcareous wetland in Huanta, Peru
This study provides the first integrated geochemical, hydrochemical, and remote sensing assessment of the Huaper Wetland, revealing early signs of water quality deterioration, declining surface moisture, and a weakening of its natural geochemical buffering capacity due to anthropogenic pressures and climatic variability.
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Struglia et al. (2025) Impact of spatial resolution on multi-scenario WRF-ARW simulations driven by the CMIP6 MPI-ESM1-2-HR global model: a focus on precipitation distribution over Italy
This study dynamically downscales CMIP6 global climate projections over Italy and the Mediterranean to 5 km resolution, demonstrating the added value of high resolution for precipitation, and projects a general warming, mean precipitation reduction over the Mediterranean, and a strong increase in extreme precipitation intensity over the Italian Peninsula by 2100, especially under SSP5-8.5.
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Bruno et al. (2025) Imprints of increases in evapotranspiration on decreases in streamflow during dry periods, a large-sample analysis in Germany
This study quantifies the impact of increased evapotranspiration on decreased summer low flows and altered precipitation-streamflow relationships during dry periods in 363 small German catchments from 1970 to 2019, finding that increased evapotranspiration is a significant driver, particularly in more arid regions.
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Serkendiz et al. (2025) Machine learning and geographic information systems-based framework for multidimensional analysis of cascading drought impacts using remote sensing and in-situ data
This study proposes a multidimensional framework to assess cascading drought impacts on the agricultural sector, demonstrating its application in the Konya Closed Basin. It reveals severe groundwater depletion coinciding with intensified drought periods and a significant conversion of over 510,000 hectares of irrigated land to non-irrigated areas between 1990 and 2018, highlighting maladaptive agricultural practices.
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Lakshmi et al. (2025) Precipitation Data Accuracy and Extreme Rainfall Detection for Flood Risk Analysis in the Akçay Sub-Basin
This study evaluates the performance of GPM-IMERG and CHIRPS satellite precipitation data against rain gauge observations in Türkiye’s Akçay Sub-Basin, finding that GPM-IMERG shows good agreement at the monthly scale but reduced accuracy at the daily scale, particularly for extreme events.
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Lapyai et al. (2025) Developing a Composite Hydrological Drought Index Using the VIC Model: Case Study in Northern Thailand
This study introduces a Composite Hydrological Drought Index (CHDI) for a northern watershed in Thailand, integrating multiple Variable Infiltration Capacity (VIC) model outputs via Principal Component Analysis (PCA) to capture the multidimensional complexity of water scarcity. The CHDI demonstrated significant predictive skill in monitoring hydrological drought, effectively capturing seasonal and interannual variability and identifying low-flow events.
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Hassan et al. (2025) Advancing convection-permitting regional climate modeling for monsoon extremes in data-scarce, topographically complex regions of South Asia
This study evaluates the convection-permitting RegCM5 model's performance in simulating extreme monsoon precipitation events in data-scarce, topographically complex South Asia, demonstrating that the 3 km MOLOCH configuration significantly improves the accuracy of precipitation intensity, spatial distribution, and temporal variability compared to coarser hydrostatic simulations.
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Thakur et al. (2025) Unveiling the impact of potential evapotranspiration method selection on trends in hydrological cycle components across Europe
This study evaluates the impact of selecting different potential evapotranspiration (PET) methods on trends in actual evapotranspiration (AET), runoff (Q), and total water storage (TWS) across 553 European catchments. It finds that annual and seasonal trends are variably sensitive to the PET method choice, depending on the hydrological component and catchment type, underscoring the importance of careful method selection for robust hydrological assessments.
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Xie et al. (2025) Agricultural Water Sustainability Evaluation in Guangdong Province of China Through Perspective of Water Footprint
This study developed a multi-dimensional framework to evaluate agricultural water sustainability in Guangdong Province, China (2010-2020), revealing a 6.98% reduction in total agricultural water footprint and a 14.46% improvement in sustainability.
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Hannaford et al. (2025) Have river flow droughts become more severe? A review of the evidence from the UK – a data-rich, temperate environment
This extended review assesses whether river flow droughts in the UK have become more severe, synthesizing existing literature and conducting new analyses. The study finds little compelling evidence of worsening hydrological droughts in the UK, a finding that appears to contradict near-future climate projections and common assumptions about human impacts.
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Mashoudi et al. (2025) Topographic Influences on Seasonal Drought in Morocco’s Western Rif: Insights from a 40-Year SPI-3 Analysis
This study investigated the influence of static topographic factors on seasonal drought patterns in Morocco's Western Rif over 40 years, revealing that distance to the coast is the most significant predictor of winter drought intensity, while topographic influence is weaker in autumn and spring.
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Guan et al. (2025) Study of the Correlation Between Water Resource Changes and Drought Indices in the Yinchuan Plain Based on Multi-Source Remote Sensing and Deep Learning
This study integrates multi-source remote sensing data with deep learning to model water resource dynamics and their relationship with drought indices in the Yinchuan Plain, China, finding strong correlations with SPEI and superior performance of LSTM for predictions, offering a robust foundation for water management.
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Mazzolini et al. (2025) Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter
This study presents a novel spatio-temporal data assimilation framework to integrate sparse ICESat-2 laser altimeter snow depth profiles with Sentinel-2 fractional snow-covered area (fSCA) observations into a snow model. It demonstrates that jointly assimilating both data types significantly improves the accuracy and spatial distribution of simulated snow depth, particularly during the accumulation season, compared to using fSCA alone.
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Dash et al. (2025) Sedimentation in Saudi Arabia’s 574 reservoirs: Nationwide assessment using remote sensing and erosion modeling
This study presents the first nationwide assessment of sedimentation across 574 reservoirs in Saudi Arabia, combining long-term Landsat imagery (1986–2024) with erosion modeling. It reveals a median annual water extent decline of –1.5% per year and estimates a 32% reduction in total usable storage capacity, highlighting a critical threat to the nation's water security.
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Khan (2025) New insights into 21st-century drought characteristics under climate change from CMIP6 multimodel ensemble analysis
This study projects 21st-century drought characteristics (frequency, duration, severity, intensity, and peak) across different categories in Pakistan using CMIP6 multimodel ensemble data, revealing varied regional shifts in drought dynamics under climate change.
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Braaten et al. (2025) Water Temperature Regimes and Thermal Drivers in Semi‐Natural and Flow‐Regulated Rivers of the Northern Great Plains
## Identification - **Journal:** River Research and Applications - **Year:** 2025...
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Kulkarni et al. (2025) Global assessment of socio-economic drought events at the subnational scale: a comparative analysis of combined versus single drought indicators
This study globally assesses socio-economic drought events at the subnational scale by comparing a novel combined drought indicator (CDI) with single-parameter indices, finding that CDI significantly outperforms individual indices in identifying GDIS-documented socio-economic drought impacts.
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Qian et al. (2025) A Multi-Scale Comprehensive Evaluation for Nine Evapotranspiration Products Across Mainland China Under Extreme Climatic Conditions
This study comprehensively evaluates nine evapotranspiration (ET) products across grid, basin, and site scales in China under varying climatic conditions from 2003 to 2014, finding that while products like GLEAM perform well, their accuracy significantly decreases under extreme conditions, a limitation largely overcome by integrating daily ET products into machine learning models.
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Quang et al. (2025) Future Intensity‐Duration‐Frequency Curves of Extreme Precipitation in the Midwest United States From Convection‐Permitting Modeling
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Pan et al. (2025) Identifying Optimal Reanalysis and Remote Sensing Data Combinations for Multi-Scale SPEI-Based Drought Assessment in Zhejiang Province, China
This study evaluates nine reanalysis and remote sensing data combinations for multi-scale Standardized Precipitation Evapotranspiration Index (SPEI) estimation in Zhejiang Province, China, identifying the optimal combination and subsequently analyzing spatiotemporal drought variations from 1980–2020. The research found that the CMFD V2.0 precipitation and GLEAM v4.2a evapotranspiration combination is most reliable, revealing a significant "wetter winters, drier springs" pattern and distinct spatial drying trends in southern/southeastern regions.
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Niyigena et al. (2025) Assessment of rainfall variability and trend using variational indices and modified Mann Kendell-Test in Gicumbi, Northern Province of Rwanda
This study assessed rainfall variability and trends in Rwanda's Gicumbi district (1983-2021), identifying three homogeneous climate zones and revealing high monthly/seasonal variability (especially in dry seasons) but no statistically significant trends in rainfall patterns.
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Zhou et al. (2025) Neglecting land–atmosphere feedbacks overestimates climate-driven increases in evapotranspiration
This study develops a theoretical framework to disentangle land-atmosphere interactions, achieving consistent evapotranspiration (ET) projections between offline and coupled models. It reveals that neglecting these feedbacks leads to a 25–39% overestimation of climate-driven global ET increases and a 77–121% exaggeration of negative land surface contributions, causing significant discrepancies in hydrological projections.
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Zhang et al. (2025) Estimation of hydrogeological spring catchment area: case of Jinci spring in North China
This study investigates the time-varying characteristics of the Jinci spring flow decrease coefficient from 1956 to 1994 and estimates its hydrogeological spring catchment area using linear regression and Turc methods. The findings provide a theoretical foundation for the sustainable utilization and protection of karst groundwater resources in semi-arid northern China.
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Linhares et al. (2025) Areas susceptible to desertification in Brazil: An approach based on the frequency of annual aridity classes
This study analyzed annual aridity class frequencies across Brazil from 1961 to 2020 using non-stationary approaches, revealing a 30% expansion of dryland conditions over the last 30 years, particularly in the Southeast and Pantanal regions, driven primarily by declining precipitation.
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Mohammed et al. (2025) Comprehensive Assessment of GPM-IMERG and ERA5 Precipitation Products Across Ireland
This study comprehensively assesses the accuracy and reliability of GPM-IMERG (Early, Late, Final) and ERA5 precipitation products against ground observations across Ireland (2014–2021). It finds ERA5 superior for low-to-moderate rainfall and seasonal consistency, while IMERG-Final excels in detecting high-intensity, short-duration events, suggesting a hybrid approach for enhanced hydrological applications.
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Yang et al. (2025) Characteristics, prediction model and driving mechanism of multidimensional daily scale propagation from meteorological to agricultural drought in Guangxi, China
This study investigated the daily propagation characteristics, developed a prediction model, and elucidated the driving mechanisms of meteorological drought to agricultural drought in Guangxi, China, revealing distinct seasonality, time-lag effects (average 10.4 days), and scaling effects, primarily driven by precipitation and potential evapotranspiration.
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Lima et al. (2025) Integrated use of the analytical hierarchy process method for mapping areas susceptible to flooding in the urban area in a city in southwest Bahia, Brazil
This study maps flood-prone areas in the urban region of Jequié, Bahia, Brazil, by integrating Geographic Information System (GIS) technology with the Analytic Hierarchy Process (AHP) using nine influencing factors, revealing that approximately 60.48 % of the urban area exhibits high to very high flood susceptibility.
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Parisouj et al. (2025) Hourly streamflow forecasting across diverse climate zones on Oʻahu Island, Hawaiʻi
This study proposes a novel hybrid Honey Badger Algorithm-optimized Multilayer Perceptron (HBA–MLP) model for hourly streamflow forecasting across diverse climate zones on Oʻahu Island, Hawaiʻi, demonstrating exceptional performance in arid and semi-arid zones while identifying challenges in subhumid regions.
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Yue et al. (2025) Watershed sediment cascades across multiple timescales: Causal relationships with hydroclimate and underlying surface attributes
This study investigated watershed sediment dynamics and their causal relationships with hydroclimate and underlying surface factors across multiple timescales (event to decadal) in seven subtropical watersheds, revealing a shift in dominant controls from hydroclimate to surface properties at longer timescales.
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Mwinjuma et al. (2025) Comparisons of SPI and SPEI in capturing drought dynamics: A Global assessment across arid and humid regions
This study globally compares the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) from 1991-2020 across diverse climatic regions, revealing that SPEI identifies significantly more frequent and severe droughts in arid and semi-arid zones due to its sensitivity to rising temperatures, challenging the adequacy of precipitation-only indices in drylands.
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Dadparvar et al. (2025) Assessment of drought trends in the Aras River Basin: Spatiotemporal changes and implications for transboundary water management
This study assesses spatiotemporal drought trends in the transboundary Aras River Basin from 1981 to 2022 using satellite precipitation and evaporation data, revealing significant drought intensification in the southern regions driven primarily by increased evaporative demand rather than precipitation deficits, with critical implications for transboundary water management.
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Varotsos et al. (2025) CLIMADAT-GRid: a high-resolution daily gridded precipitation and temperature dataset for Greece
This study introduces CLIMADAT-GRid, the first publicly available high-resolution (1 km × 1 km) daily gridded dataset for air temperature and precipitation across Greece for 1981–2019, demonstrating superior spatial performance and closer agreement with observational data compared to global products like CHELSA-W5E5.
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Hingerl et al. (2025) Comparative analysis of land–atmosphere interactions across three contrasting ecosystems in the West Sudanian Savanna
This study conducted a multi-year analysis of energy fluxes and land–atmosphere coupling using eddy covariance data from three contrasting ecosystems in the West Sudanian Savanna to assess land use change impacts. It found significant alterations in energy partitioning and land-atmosphere coupling, especially during dry and transitional seasons, driven by vegetation structure and soil moisture.
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Abeysingha et al. (2025) Future hydro-climate extremes in the cypress creek watershed in Texas under different CMIP6 scenarios
This study quantifies future hydro-climate extremes in the Cypress Creek watershed, Texas, using the SWAT+ model and CMIP6 projections, revealing increased drought likelihood due to rising temperatures and declining precipitation, alongside a general decrease in flood severity but high hydroclimatic variability.
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Liu et al. (2025) Assess the impacts of climatic change and human activities on streamflow and floods by using a hybrid-physics-data (HPD) model: A case study in the Lancang-Mekong River Basin
This study utilizes a hybrid-physics-data (HPD) model, combining VIC-CaMa-Flood with LSTM, to assess the relative contributions of climatic change and human activities to streamflow and floods in the Lancang-Mekong River Basin (LMRB) from 1966–2015. It reveals that climatic change primarily influenced streamflow and floods during 1993–2007, while human activities, mainly reservoir operations, became the dominant factor in the post-2008 period, significantly altering seasonal flow and mitigating flood magnitudes and frequencies.
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Zhong et al. (2025) Sub-diurnal asymmetric warming has amplified atmospheric dryness since the 1980s
This study reveals that sub-diurnal asymmetric warming, characterized by a faster increase in daily maximum temperature (Tmax) relative to daily minimum temperature (Tmin), has significantly amplified atmospheric dryness (vapor pressure deficit, VPD) over land since the 1980s. This asymmetry has driven a larger increase in saturated vapor pressure (SVP) than actual vapor pressure (AVP), contributing an additional ~18% to the global land VPD increase.
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Chevuru et al. (2025) Relevance of feedbacks between water availability and crop systems using a coupled hydrological–crop growth model
This study quantifies the fine-grained spatiotemporal feedback between crop systems and hydrology using a coupled hydrological-crop growth model. It finds that two-way coupling, incorporating dynamic feedback of crop phenology, significantly improves performance for rainfed crops compared to one-way coupling, highlighting its necessity for capturing interannual climate variability impacts on food production.
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Diop et al. (2025) Climate change impacts on floods in West Africa: new insight from two large-scale hydrological models
This study provides a large-scale analysis of flood frequency and magnitudes across West Africa using two hydrological models driven by CMIP6 climate models, projecting consistent increases in flood frequency and magnitude under future climate change scenarios.
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Kwon et al. (2025) Introducing a novel Standardized Precipitation Evaporation Differential Index (SPEDI) for improved flash drought detection and assessment: a case study in South Korea
This study introduces the Standardized Precipitation Evaporation Differential Index (SPEDI), a new composite drought index designed to better capture flash drought conditions by accounting for both precipitation deficits and evaporative demand. SPEDI demonstrated superior performance in detecting flash droughts and aligning with agricultural damage records across South Korea compared to established indices.
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Hazem et al. (2025) Hybrid storm water management for water conservation in cities nearby surface water streams
This study proposes a smart, cost-efficient approach to urban stormwater management by optimizing existing combined sewer networks and utilizing surface runoff pathways. It demonstrates that for large catchments, combined systems are often sufficient, while smaller, denser areas require dedicated surface runoff solutions to prevent overflows and maximize existing infrastructure capacity.
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Cheng et al. (2025) Spatially distinct drought patterns and influencing factors across China: a machine learning approach with a comprehensive index
This study validated the Combined Climatologic Deviation Index (CCDI) for drought monitoring in China and assessed spatiotemporal drought patterns and their driving factors, revealing intensified drought in arid and plateau regions, and varied impacts of vegetation greening across different climatic zones.
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Wood et al. (2025) Comparison of high-resolution climate reanalysis datasets for hydro-climatic impact studies
This study comprehensively evaluates four high-resolution climate reanalysis datasets (ERA5, ERA5-Land, CERRA, CHELSA-v2.1) against gridded observations over complex terrain in Switzerland for hydro-climatic impact studies. It concludes that CERRA generally offers the most reliable representation of precipitation, temperature, and snowfall metrics, including their variability and extreme events, making it highly suitable for a broad range of hydrological analyses, particularly in regions where snow processes and daily to inter-annual precipitation variability are crucial.
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Khandandel et al. (2025) A shift towards temperature-dominated droughts in agricultural basins of Türkiye
This study projects future drought characteristics in Türkiye's agricultural basins using climate models and drought indices, revealing an intensification of drought frequency and severity driven primarily by rising temperatures, shifting from precipitation-deficit to temperature-dominated droughts.
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Gobet et al. (2025) Interpretable seasonal multisite hidden Markov model for stochastic rain generation in France
This paper introduces a lightweight seasonal hierarchical hidden Markov model (SHHMM) for multisite stochastic rain generation in France, demonstrating its ability to accurately capture spatiotemporal precipitation patterns, seasonality, and dry/wet spell distributions, with interpretable weather regimes.
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Sun et al. (2025) Complex networks reveal teleconnections across cascading floods in the Yangtze River Basin
This study applies complex network analysis to investigate the teleconnection patterns and synchronization characteristics of cascading floods across 125 subbasins in the Yangtze River Basin (YRB) from 1961 to 2020, revealing that streamflow-related networks exhibit stronger connectivity and identifying a significant large-scale propagation mechanism where downstream water yield regulates upstream precipitation.
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Nguyen‐Xuan et al. (2025) Assessment of future droughts in Vietnam using high-resolution downscaled CMIP6 projections
This study assesses future drought conditions in Vietnam using high-resolution downscaled CMIP6 projections and the Standardized Precipitation-Evapotranspiration Index (SPEI). It finds that while significant warming is projected, precipitation is the dominant factor for SPEI trends, with overall milder drought characteristics expected, though severity and intensity may worsen in specific regions under worst-case scenarios and higher return periods.
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Guan et al. (2025) The ability of a stochastic regional weather generator to reproduce heavy-precipitation events across scales
This study assesses a non-stationary regional weather generator's (nsRWG) ability to reproduce heavy-precipitation event (HPE) extremity across spatial and temporal scales in Germany, finding it largely excels in replicating observed extremity patterns and potential influential areas, making it suitable for flood risk assessment.
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Centanni et al. (2025) Assessment of pollutants from the Canale d'Aiedda basin to the sea: SWAT model and Remote Sensing Approach
This study assesses the spatial patterns of pollutants from the Canale d’Aiedda basin to the Mar Piccolo Sea, identifying nutrient sources and their coastal fate by coupling the ecohydrological SWAT model with Sentinel-2 remote sensing. It found that agricultural subbasins are primary sources of nitrogen and phosphorus, with flash floods significantly impacting pollutant delivery and coastal turbidity.
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Papić (2025) Spatial and Temporal Dynamics of Drought in Bosnia and Herzegovina During the Period 1956–2023
## Identification - **Journal:** International Journal of Climatology - **Year:** 2025...
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Miftah et al. (2025) Moroccan water resources under pressure: Challenges of groundwater quality and nitrate contamination
This study provides a comprehensive overview of surface and groundwater quality across Morocco, identifying widespread nitrate contamination in numerous aquifers, primarily from agricultural fertilizers, domestic/industrial wastewater, and manure, often exacerbated by seawater intrusion, rendering much of the groundwater unsuitable for drinking and irrigation.
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Deman et al. (2025) Future changes in runoff over western and central Europe: disentangling the hydrological behavior of CMIP6 models
This study characterizes future runoff changes over western and central Europe using a large ensemble of CMIP6 models under a high-end emissions scenario, identifying diverse hydrological responses grouped into clusters. It disentangles inter-model uncertainties, highlighting the roles of large-scale circulation and the physiological effect of CO2, while finding the soil moisture-precipitation feedback important for the ensemble mean but not the inter-model spread.
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Ndiaye et al. (2025) Hydrological variability of large rivers in West Africa: gap-filling with Earth observations and daily rainfall-runoff modelling
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Günaçtı et al. (2025) Assessment of a Survivability Index for Drought Management in River Basins
This paper introduces a novel Survivability from Droughts Index (SDI) to assess drought management capacity in river basins, integrating WEF Nexus and sustainability pillars. The index was applied to the Gediz River Basin, Türkiye, demonstrating its ability to validate historical drought impacts and guide actions for improved drought survivability.
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Swarnim et al. (2025) Combining MCDM and geospatial techniques to identify groundwater potential zones and trend analysis of rainfall and well water level data: An investigation in the Prayagraj and Kaushambi districts
This study identifies groundwater potential zones in Prayagraj and Kaushambi districts, India, using remote sensing, GIS, and Multi-Criteria Decision Making (MCDM) techniques (AHP and MIF), revealing that while rainfall is increasing, groundwater levels are decreasing due to overexploitation.
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Dietz et al. (2025) Impact of climate change on snow cover in the Pyrenees, Alps, and Andes Mountains, derived from 40 years of Landsat data
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McNorton et al. (2025) Hydroclimatic Rebound Drives Extreme Fire in California's Non‐Forested Ecosystems
This second annual "State of Wildfires" report systematically tracks global and regional fire activity for the March 2024 to February 2025 season, analyzing the causes of prominent extreme wildfire events and projecting their future likelihood under climate change. It finds that global fire-related carbon emissions totaled 2.2 petagrams of carbon (Pg C), 9% above average and the sixth highest since 2003, despite below-average global burned area, primarily driven by extreme fire seasons in South America and Canada, with climate change significantly increasing the likelihood and intensity of these events.
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McLeod et al. (2025) Hothouse Hydrology: Evolving River Dynamics in the Eocene Montllobat and Castissent Formations, Southern Pyrenees
## Identification - **Journal:** Basin Research - **Year:** 2025...
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Shazil et al. (2025) Assessing the Accuracy of Gridded Precipitation Products in the Campania Region, Italy
This study compares four reanalysis and satellite precipitation products (ERA5-Land, CHIRPS, PERSIANN, and TerraClimate) against ground data from 2003 to 2022, finding ERA5-Land to be the most accurate in reproducing observed precipitation and identifying wet months.
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Götte et al. (2025) How do reservoirs influence streamflow extremes? Insights from a large-sample analysis in the Alpine Region
This study quantifies the impact of reservoir regulation on extreme high and low streamflows in the European Alps through a large-sample analysis, revealing a general decrease in high flows but mixed effects on low flows, indicating an overall dampening of extreme events.
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Randriatsara et al. (2025) Historical changes in drought characteristics and their impact on vegetation cover over Madagascar
This study analyzes historical drought characteristics (1981–2022) and their impact on vegetation cover (2000–2022) across Madagascar using the Standardized Precipitation Index (SPI) and Normalized Difference Vegetation Index (NDVI). It finds that drought events have intensified and become more consecutive, particularly in southern Madagascar, leading to severe vegetation losses.
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Eisenacher et al. (2025) Lightning Density and Its Coupled Covariates Within the Continental United States
This study investigates the coupled land-atmosphere interactions influencing lightning density across the Continental United States (CONUS), finding that Convective Available Potential Energy (CAPE) is the most effective proxy for lightning, while soil moisture (SM) shows a significant, seasonally-dependent coupling with lightning, particularly in the southeastern U.S.
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Lorenzo‐Lacruz et al. (2025) Losing Water by Storing It: The Oversighted Side of Intensive Water Regulation and Damming
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Saunders et al. (2025) Sensitivity to Data Choice for Index‐Based Flood Insurance
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Raihan et al. (2025) Controls on Discharge and Drying in an Intermittent Grassland Stream: Temporal and Network Variability
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Inseeyong et al. (2025) Regionalization of standardized sediment rating curves for enhancing data continuity in ungauged catchments
This study develops a regionalization approach for sediment rating curve (SRC) parameters to estimate sediment load in ungauged catchments using only discharge data and catchment attributes. The approach, validated in the Mun River Basin, demonstrates acceptable performance (0.43 < NSE < 0.95, −58 % < PBIAS < 53 %) and provides a practical framework for data-scarce regions.
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Toro et al. (2025) Groundwater quality prediction for drinking and irrigation uses in the Murcia region (Spain) by artificial neural networks
This study developed and evaluated artificial neural network models (RProp-MLP and PNN DDA) to predict groundwater quality for drinking and irrigation in the semiarid Murcia region, Spain, using two defined quality indices (DWQI and IWQI) and demonstrating the superior performance of RProp-MLP.
