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Zhang et al. (2025) Significant Shifts in Continental Precipitation Sources in the 21st Century
## Identification - **Journal:** Water Resources Research - **Year:** 2025...
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Rabie et al. (2025) Remote Sensing, GIS, and Machine Learning in Water Resources Management for Arid Agricultural Regions: A Review
This study optimized geospatial data pipeline automation for landscape monitoring in Italy using GeoAI and machine learning on Landsat imagery, demonstrating that the Support Vector Machine (SVM) algorithm achieved the highest classification accuracy for detecting land cover changes over a five-year period.
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Ferreira et al. (2025) Improving ETa Estimation for Cucurbita moschata Using Remote Sensing-Based FAO-56 Crop Coefficients in the Lis Valley, Portugal
This study assessed pumpkin crop water status and evapotranspiration dynamics in the water-scarce Lis Valley, Portugal, by integrating in-situ soil moisture and electrical conductivity measurements with Sentinel-2 derived vegetation indices. It found that this integrated approach enhances precision irrigation strategies and confirmed the applicability of the FAO-56 method for *Cucurbita moschata* under Mediterranean conditions.
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Long et al. (2025) Reconstruction of drought propagation pathways: A global analysis of multitype propagation chains and nonlinear mechanisms
This study reconstructs global drought propagation pathways by combining copula functions, a Bayesian framework, and multi-scale drought indices, revealing that abnormal evapotranspiration often initiates drought and quantifying the nonlinear roles of natural and anthropogenic drivers using interpretable machine learning.
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Zhao et al. (2025) Multidimensional Copula-Based Assessment, Propagation, and Prediction of Drought in the Lower Songhua River Basin
This study assesses, propagates, and predicts multidimensional drought (meteorological, hydrological, agricultural) in the lower Songhua River basin under future climate change scenarios using a coupled modeling framework. It reveals a significant increase in multidimensional drought risk, with varying propagation patterns and thresholds across different climate scenarios.
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He et al. (2025) Hydrological response to land use change under low carbon-optimal economic scenario
This study developed a framework integrating land-use simulation (CA Markov) and hydrological modeling (SWAT) with spatiotemporal regression (GTWR) to assess hydrological responses to land-use change under a low-carbon, economic-optimal scenario in the Dongjiang River Basin. It found that by 2035, land-use changes, primarily farmland conversion to forest, grassland, and construction, lead to increased surface runoff and evapotranspiration, decreased soil percolation and groundwater recharge, with significant spatiotemporal heterogeneity and implications for drought and flooding risks.
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Louis et al. (2025) A new approach in monitoring regional water use efficiency in response to climate variability: a case study in Hungary
This study develops and evaluates a novel biomass soil moisture index (NWUESM) as a simpler and less expensive alternative to the standard regional water use efficiency (RWUEEC) indicator, demonstrating its superior accuracy at 60 cm soil depth for monitoring water use efficiency in northeastern Hungary.
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Vila et al. (2025) Potential of thermal imaging for yield and soil water content prediction in leafy vegetables
This study developed predictive models for yield and soil water content in lettuce and arugula by integrating thermal images. The models, based on Crop Water Stress Index (CWSI) and normalized temperature difference (ΔT), demonstrated good performance for yield (R² up to 0.82) and soil water content (R² up to 0.92), providing critical thresholds for efficient irrigation management.
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Friesen et al. (2025) Uso Intensivo Do Aquífero Cárstico Em Colombo-Pr Através De Poços Tubulares: Riscos E Desafios Para a Sustentabilidade Hídrica
This study analyzes the environmental and socioeconomic impacts of intensive groundwater exploitation in the karst aquifer of Colombo, Paraná, Brazil, exacerbated by climate change. It identifies the consequences of overexploitation, such as groundwater level decline, land subsidence, and water quality degradation, and proposes sustainable management strategies based on hydrogeological studies and public policies.
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Jiao et al. (2025) Multi-Layer Soil Moisture Profiling Based on BKA-CNN by Integrating Sentinel-1/2 SAR and Multispectral Data
This study developed a BKA-CNN model integrating Sentinel-1 SAR and Sentinel-2 multispectral data to estimate multi-layer soil moisture (SM) in the Shandian River Basin, achieving high accuracy (R² up to 0.799) across depths from 3 cm to 50 cm, with superior performance compared to single-source data and traditional machine learning models, and demonstrating robust generalization.
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Zhang et al. (2025) Multi-stage flood utilization framework to support ecological flow protection and groundwater recovery mechanisms
This study introduces a multi-stage flood utilization framework that integrates ecological flow protection with groundwater recharge to address water scarcity. The framework significantly improves downstream ecological flow protection by eliminating flow interruptions and enhances groundwater recovery in water-scarce regions.
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Lakshmi et al. (2025) Remote Sensing-Based Monitoring of Agricultural Drought and Irrigation Adaptation Strategies in the Antalya Basin, Türkiye
This study assessed agricultural drought dynamics in the Antalya Agricultural Basin, Türkiye, from 2001 to 2023 using multiple remote sensing indices, revealing recurrent moderate summer droughts driven by minimal precipitation and high temperatures, and proposing adaptation strategies for irrigation efficiency aligned with national water management goals.
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Sun et al. (2025) High-resolution streamflow simulation, trend and drought analysis in China (1980–2022): A large-scale routing model based on improved geomorphic functions
This study developed improved geomorphic functions for China and integrated them with the Variable Infiltration Capacity (VIC) model to reconstruct high-resolution streamflow across China from 1980 to 2022. The research revealed an overall increasing streamflow trend in eastern regions, declining trends in western regions, and detailed spatiotemporal characteristics of hydrological droughts, including a contraction in drought extent after 2013.
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Bhatt et al. (2025) Analysis of prevented / failed sowing using meteorological and remote sensing parameters
## Identification - **Journal:** Ecology Environment and Conservation - **Year:** 2025...
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Xiao et al. (2025) Quantitative identification of drought dominant periods and driving factors in China: integrating from TVDI and pixel-wise EMD
This research quantifies the multi-scale driving mechanisms of drought in China from 2000 to 2022 using the Temperature-Vegetation Drought Index (TVDI) and pixel-wise Empirical Mode Decomposition (EMD), revealing that precipitation drives seasonal drought, potential evapotranspiration dominates interannual drought in arid regions, and maximum temperature is crucial for interdecadal drought, with its influence increasing for longer drought periods.
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Zelalem et al. (2025) Assessment of deep-water wells drawdown: A case study of legedadi deep well field phase I, Addis Ababa, Ethiopia
This study assessed groundwater sustainability and operational performance in the Legedadi Deep Well Field Phase I, Addis Ababa, Ethiopia, revealing significant groundwater drawdown, low pump efficiencies, high energy consumption, and operational inefficiencies exacerbated by SCADA system failure.
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Wang et al. (2025) Spatially synchronized structures of global hydroclimatic extremes
This study develops DOMINO-SEE, a multilayer event-based complex climate network framework, to analyze global synchronizations of meteorological droughts, pluvials, and drought-pluvial 'seesaw' extremes using 67 years of precipitation reanalysis data. It reveals pronounced spatial asymmetries in teleconnected synchronizations, dominated by oceanic regions and southern mid-latitudes, and highlights significant cross-hemisphere seesaw patterns affecting global breadbasket regions.
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Monte et al. (2025) Skilful seasonal predictions of droughts in the Mediterranean region
This study investigates the skill of seasonal prediction systems (SPSs) in forecasting meteorological drought in the Mediterranean region using SPI3 and SPEI3 indices. It demonstrates that optimized multi-model ensembles (MME) significantly enhance drought prediction skill, outperforming individual systems and climatology across most of the region.
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Chang et al. (2025) Historical evolution and future trend of meteorological drought in the upper Yangtze River basin
This study analyzed historical (1961-2018) and projected future (2019-2099) meteorological drought trends in the upper Yangtze River basin using SPI and SPEI and CMIP6 models, finding a historical intensification of droughts post-2000 and a projected transition to significantly drier conditions with more frequent, longer, and more intense droughts after 2040 under higher emission scenarios.
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Fu et al. (2025) Response of dry-wet abrupt alternation to precipitation variation in the Hailar River Basin, northern China
This study investigates dry-wet abrupt alternation (DWAA) events in the Hailar River Basin (1980–2019) using a novel Soil Moisture Concentration Index (SMCI) and the VIC hydrological model. It reveals that DWAA driving mechanisms are spatially heterogeneous, shifting from terrestrial factors upstream to meteorological factors downstream, with an overall increasing intensity of dry-wet transitions.
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Jiang et al. (2025) Crop water origins and hydroclimate vulnerability of global croplands
This study uses satellite-derived water isotope observations and physical models to trace atmospheric moisture origins for global rain-fed crops, revealing that regions heavily dependent on land-originating moisture (fraction of land-originating rainwater, f ≥ 36%) are significantly more vulnerable to hydroclimate stress and drought, impacting major staple crops.
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Tripathy et al. (2025) Spatiotemporal dynamics of surface and rootzone soil moisture droughts
This study employed a Complex Network framework and event synchronization to analyze summer surface and root-zone soil moisture droughts across the contiguous United States, identifying the Ohio River Valley as a central drought hub and revealing a west-to-east propagation pattern with stronger spatial coherence in root-zone soil moisture.
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Tchuwa et al. (2025) Projecting meteorological drought in Northern Malawi using SPEI and bias-corrected CMIP6 models
This study provides a high-resolution, CMIP6-based characterization of future meteorological droughts across five synoptic stations in Northern Malawi using the Standardized Precipitation Evapotranspiration Index (SPEI). Results indicate statistically significant increases in drought severity and persistence under high-emission scenarios, highlighting intensifying drought risk under warming conditions.
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Khadke et al. (2025) Vapor pressure deficit dominates sap flow variability across forest biomes
This study investigates the causal drivers of sap flow (SAPFlow) across 15 global forest sites using information theory-based process networks and wavelet analysis. It finds that vapor pressure deficit (VPD) is the dominant causal driver of SAPFlow variability across all forest types, forming a coupled system with soil water content (SWC) mediated by land-atmosphere feedback.
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Wanthanaporn et al. (2025) Analysis of Seasonal Climate and Streamflow Forecast Performance for Mainland Southeast Asia
This study evaluates the skill of the ECMWF SEAS5 seasonal forecast system for temperature and precipitation over mainland Southeast Asia, and its subsequent application in the VIC hydrological model for streamflow prediction, finding useful skill for anticipatory management, particularly for temperature beyond 2 months and for precipitation/streamflow during pre- and post-monsoon seasons.
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Lamrani et al. (2025) Analysis of spatio-temporal dynamics of meteorological and agricultural drought indices in the Haouz plain, semi-arid region of Morocco (1984–2023)
This study analyzes the spatio-temporal dynamics of meteorological and agricultural drought in the Haouz plain, Morocco, from 1984 to 2023, revealing a significant intensification of drought conditions, particularly since 2000, with a historic precipitation minimum recorded in 2023.
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Lei et al. (2025) Synergizing machine learning and modified physical models for hydrology modeling: A case study of modified SIMHYD and TANK models
This study investigates the effectiveness of hybrid hydrological models (HMs) that combine machine learning with original and modified physical models (SIMHYD, TANK) across 569 catchments in the United States. It finds that HMs with modified physical layers offer superior runoff predictability and improved reasoning ability for evaporation and baseflow compared to those with original physical models.
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Florea et al. (2025) The Impact of Climate Change on Eastern European Viticulture: A Review of Smart Irrigation and Water Management Strategies
This review synthesizes the impacts of climate change on Eastern European viticulture, highlighting increased water stress and phenological shifts. It emphasizes the critical role of integrating climate adaptation measures with smart irrigation and water management strategies, such as Regulated Deficit Irrigation (RDI) and sensor-based systems, to enhance vineyard resilience and sustainability.
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Fashoto et al. (2025) Anticipating drought: enhancing prediction models and assessing environmental impact in Eswatini’s Maguga Basin
This study developed and compared drought prediction models for Eswatini's Maguga Basin, finding that a Genetic Algorithm (GA) optimized Long Short-Term Memory (LSTM) model significantly outperformed the Auto-regressive Integrated Moving Average (ARIMA) model in forecasting the Standardized Precipitation Evapotranspiration Index (SPEI) and Maguga Dam water levels. The research provides a robust tool for early drought warning and water resource management in the region.
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Liu et al. (2025) Temporal persistence of postfire flood hazards under present and future climate conditions in southern Arizona, USA
This study investigates the temporal evolution of post-fire hydrologic parameters and quantifies changes in flash flood peak discharges under future climate conditions in a 49.4 km² watershed in southern Arizona. It finds that while soil hydraulic properties recover over three post-fire years, climate change-driven rainfall intensification will significantly increase the magnitude and persistence of post-fire flood hazards, potentially doubling the likelihood of 100-year floods by mid-century under medium emissions scenarios.
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Yang et al. (2025) Probabilistic assessment for drought risk: Integrating drought hazard, ecological sensitivity, economic vulnerability, and their coupling coordination
This study developed a robust drought risk assessment framework integrating Eco-DRR capacity and the coupling coordination of drought risk components. Applied to county-level cities in China's three northeastern provinces (2000-2022), the framework revealed generally low/moderate drought hazards, high ecological sensitivity, low economic vulnerability, and low/moderate overall drought risk, with specific spatial patterns and probabilistic classifications for cities.
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Ma et al. (2025) Comprehensive drought detection, spatiotemporal variations, and attribution across different agricultural climate zones in Eastern China using a copula-based drought index
This study developed a novel Copula-based Multivariate Standardized Drought Index (MSDI) to assess drought spatiotemporal variations and attribution across different agricultural climate zones in Eastern China from 2001–2020. Findings reveal a general worsening of drought conditions characterized by a southward shift and increased frequency, intensity, and severity of short-term events, with dominant drivers varying regionally.
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Martínez-Castro et al. (2025) Impact of Extreme Droughts on the Water Balance in the Peruvian–Ecuadorian Amazon Basin (2003–2024)
This study assesses the impact of extreme droughts on the surface and atmospheric water balance of the Peruvian Amazon basin from 2003 to 2024, identifying four extreme drought years characterized by major precipitation deficits, reduced runoff and total water storage, and significant imbalances in both surface and atmospheric water balances.
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Flores et al. (2025) Assessment of Environmental Flow Under Historical and Climate Change Scenarios in a Tropical Basin in Mexico
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D’Ercole et al. (2025) Using daily vegetation and precipitation products to study drought events in the Horn of Africa
This study assesses the capability of high-frequency daily Earth observations (vegetation and precipitation) to detect and monitor meteorological and agricultural drought events in the Horn of Africa, revealing the benefits of daily resolution for capturing short-term wet-dry spells and identifying optimal precipitation products for the region.
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Li et al. (2025) Assessing the Impact of Land‐Use Types on Historical Dryness/Wetness Trends Over Global Land Areas
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Çıtakoğlu et al. (2025) Multiscale drought forecasting via temporal–spectral decomposition and machine learning integration
This study developed a novel multiscale drought forecasting framework by integrating temporal–spectral decomposition techniques with machine learning models to predict the Multivariate Standardized Drought Index (MSDI) at 1-, 3-, and 6-month time scales for the Sakarya region, Türkiye, finding the TQWT-GPR hybrid model to be the most accurate.
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Cen et al. (2025) Improving Remote Sensing Ecological Assessment in Arid Regions: Dual-Index Framework for Capturing Heterogeneous Environmental Dynamics in the Tarim Basin
This study introduces ARSEI and CoRSEI to improve ecological assessment in arid regions, demonstrating ARSEI's enhanced sensitivity to desert dynamics and CoRSEI's ability to capture heterogeneous environmental changes and long-term trends in the Tarim Basin from 2000 to 2023. The findings highlight the importance of differentiated ecological modeling for targeted ecosystem management in hyper-arid environments.
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Chivangulula et al. (2025) The Drought Regime in Southern Africa and Recent Climate Change: Long-Term Trends in Climate Elements, Drought Indices and Descriptors
This study assessed long-term climate trends and drought hotspots in Southern Africa (1971-2020) using ERA5 data, revealing widespread increasing temperatures, decreasing precipitation, and expanding drought risk in agriculturally vital regions.
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Yang et al. (2025) Divergent Drought Paradigms and Their Driving Mechanisms in the Yangtze and Yellow River Basins
This study compares drought patterns and their underlying mechanisms in China's Yangtze and Yellow River Basins (1961-2022), revealing the Yangtze experiences high-frequency, short-duration droughts driven by precipitation deficits, while the Yellow River faces low-frequency, long-duration droughts amplified by evaporative demand.
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Brigode et al. (2025) Using century-long reanalysis and a rainfall-runoff model to explore multi-decadal variability in catchment hydrology at the European scale
This study evaluates the capacity of century-long global reanalyses (NOAA 20CR, ERA-20C) to simulate multi-decadal catchment hydrology across over 2000 European catchments using a rainfall-runoff model, finding reasonable performance, especially for mean flows, and revealing significant alternating wet and dry periods.
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Lumban-Gaol et al. (2025) Peat subsidence and dynamics in Midden-Delfland, the Netherlands, from time series InSAR analysis and the SPAMS model
This study estimates and analyzes peat subsidence in the Midden-Delfland region, The Netherlands, using Sentinel-1 InSAR data and the SPAMS model. It reveals an average subsidence rate of −5.4 ± 0.7 mm/year, with irreversible subsidence strongly correlated with dry climatic conditions, particularly during drought periods.
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Gonzalez-Mora et al. (2025) A climate-informed statistical framework to indirectly estimate trends in future seasonal high flows in snow-dominated watersheds using short-term climate variability indices
This study developed a climate-informed statistical framework to indirectly estimate future seasonal high flow trends in snow-dominated watersheds using short-term climate variability indices (SCIs). It found that future high flow variability can be anticipated using highly correlated SCIs, with a single SCI explaining at least 50% of the variability.
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Ochege et al. (2025) Enhancing reference crop evapotranspiration prediction in arid regions: A stacking ensemble learning approach for the Amu Darya basin
This study developed a novel stacking ensemble (stkENS) machine learning model, hybridizing Decision Trees, Generalized Linear Models, K-Nearest Neighbours, and Support Vector Regression, to enhance reference crop evapotranspiration (ETo) prediction in the data-limited Amu Darya basin. The stkENS model significantly outperformed individual base learners, achieving high accuracy (R² > 0.96, RMSE: 0.65 mm d⁻¹) with fewer inputs, providing robust ETo estimates crucial for sustainable water management in arid croplands.
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Alvarenga et al. (2025) Meteorological Droughts in the Paraopeba River Basin: Current Scenarios and Future Projections
This study evaluated the performance of CMIP6 climate models in projecting meteorological droughts in the Paraopeba River Basin using SPI and SPEI indices. The findings indicate a significant intensification of droughts throughout the 21st century, particularly under the pessimistic SSP585 scenario, highlighting the critical role of rising temperatures in exacerbating water deficits.
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Ssembajwe et al. (2025) Assessment and Validation of FAPAR, a Satellite-Based Plant Health and Water Stress Indicator, over Uganda
This study assessed and validated satellite-based Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) as a plant health and water stress indicator over Uganda, finding it to be a robust proxy with strong correlations to established drought and water stress indices. The research revealed increasing photosynthetic activity and FAPAR-centered stress across significant portions of the country, influenced by climatic and land use factors.
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Matthews et al. (2025) Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data
This study evaluates the ground radar-based EURADCLIM dataset for quantifying rainfall erosivity across Europe, finding that it initially overpredicts erosivity due to radar artifacts but significantly improves with an 80 mm h⁻¹ I30 threshold, offering unique spatial detail for soil erosion prediction.
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García et al. (2025) Electrical Resistivity Tomography and 3D Modeling for Groundwater Salinity Assessment in Volcanic Islands: A Case Study in Los Cristianos (Tenerife, Spain)
This study applies Electrical Resistivity Tomography (ERT) and 3D modeling in Los Cristianos, Tenerife, to characterize groundwater salinity and marine intrusion in a volcanic island setting. The methodology effectively delineates saline horizons, providing objective criteria for sustainable borehole siting for desalination purposes.
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Maryam et al. (2025) Nonstationarity impacts on the assessment of drought conditions across diverse climate zones of Pakistan
This study quantifies the impacts of nonstationarity on drought assessment across diverse climate zones of Pakistan using the Reconnaissance Drought Index (RDI). It reveals significant zonal and temporal shifts in drought and wet conditions, with nonstationarity generally increasing drought severity in northern and agricultural plains and decreasing it in western and coastal regions during the later period (1986–2021).
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Qin et al. (2025) Impact of impervious surface spatial morphologies on urban waterlogging: Insights from a cascade modeling chain at catchment scale
This study investigates how the spatial morphology of impervious surfaces influences urban waterlogging using a cascade modeling chain. It reveals distinct hydrological functions for different road morphologies and static obstruction by buildings, proposing an evidence-based intervention hierarchy that prioritizes road modifications for urban flood resilience.
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Şerban et al. (2025) Satellite-based assessment of drought evolution and agricultural stress in Dobrogea, Romania using the Normalized Vegetation Soil Water index (NVSWI)
This study utilized a multi-indicator remote sensing approach to assess agrometeorological drought dynamics in Dobrogea, Romania, from 2001 to 2021, revealing an increased drought frequency and severity, with over 70% of the area experiencing extreme drought in 2020.
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Ahmed et al. (2025) A Continental-Scale tracking for mobile drought dynamics across Africa using Multivariate drought Index Fusion
This study proposes a novel Multivariate Drought Index Fusion (MDIF) to dynamically track the spatiotemporal trajectory of mobile drought fronts across Africa from 2000 to 2024, revealing persistent drought hotspots and a dominant northeast-to-southwest propagation pathway.
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Vicente‐Serrano et al. (2025) Developing science-informed maps and climate service for extreme rainfall in Spain
This study develops the first high-resolution hazard probability maps of extreme precipitation for Spain, integrating them into a national climate service. Using a stationary Generalized Pareto Distribution and universal kriging on long-term daily precipitation data, the maps provide reliable estimates of extreme precipitation quantiles, revealing distinct spatial patterns and supporting decision-making through an interactive online platform.
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Ellahi et al. (2025) A framework for spatiotemporal drought analysis using proposed multi-regional weighted aggregative SPI and Bayesian inference
This study develops a novel framework for spatiotemporal drought analysis using a proposed multi-regional weighted aggregative standardized precipitation index (MRWASPI) and Bayesian inference, demonstrating its effectiveness in providing insights into drought severity and patterns for homogeneous regions.
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Еременко et al. (2025) Trends in Soil Erosion in Agricultural Regions of Russia in Recent Decades in the Context of Changes in Range of Agricultural Crops
This study analyzed trends in the C factor of crop rotations for snowmelt and rainfall runoff in agricultural regions of Russia from 1996 to 2022, revealing a general increase in the rainfall C factor, particularly in eastern regions, with high municipal-level variability, while the impact of the snowmelt C factor on soil loss has diminished due to climate warming.
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Silva et al. (2025) Impact of precipitation variability on erosivity, runoff, and soil erosion in a semiarid basin: a case study from Northeast Brazil
This study investigated the impacts of precipitation variability on rainfall erosivity, runoff, and soil erosion in the Apodi–Mossoró River basin, Northeast Brazil, using climate indices and the SWAT model. Findings indicate a decline in extreme precipitation events and significant spatiotemporal variability in precipitation, which directly influences erosivity, runoff, and soil erosion patterns across the semiarid region.
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Dubey et al. (2025) Entropy theory-based performance appraisal of CMIP6 climate models in regional drought simulation over the Indus River basin: a multifactorial investigation
This study assessed the historical performance of 16 CMIP6 climate models in simulating regional drought and associated meteorological variables over the Indian Indus River basin (1979–2014) using an entropy-based approach, identifying MIROC6, MPI-ESM1-2-HR, and NorESM2-LM as the most suitable models for future climate projections.
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Qiu et al. (2025) Spatiotemporal pattern of terrestrial ecological drought based on ecological water deficit in the Yellow River Basin
This study developed a novel ‘Vegetation-Evapotranspiration-Water Balance’ framework to comprehensively assess the spatiotemporal patterns of terrestrial ecological drought (ED) in the Yellow River Basin (YRB) from 1982 to 2020, revealing a predominantly alleviating drought trend despite increasing ecological water requirements and consumption.
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Poudel et al. (2025) Uncertainty in estimating the relative change of design floods under climate change: a stylized experiment with process-based, deep learning, and hybrid models
This study conducts a stylized model-as-truth experiment across 30 Massachusetts basins to evaluate uncertainty in estimating relative changes of design floods under climate change using process-based, deep learning, and hybrid hydrological models. Findings reveal that structural limitations and equifinality dominate uncertainty in change estimates, which are significantly reduced in variance through regional pooling.
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Liu et al. (2025) The spatiotemporal characteristics of extreme drought events in China from 1961 to 2022 via a copula function
This study systematically analyzed extreme drought events in China from 1961 to 2022 using the Standardized Precipitation Index (SPI) and copula functions, revealing significant spatiotemporal variations in drought trends and severity across different regions. It highlights increased drought severity in Northeast and South China, while Northwest China and the Qinghai–Tibet Plateau experienced increased humidity.
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Granata et al. (2025) The anatomy of drought in Italy: statistical signatures, spatiotemporal persistence, and forecasting potential
This study comprehensively analyzes six-month Standardized Precipitation–Evapotranspiration Index (SPEI-6) time series across Italy using advanced statistical, persistence, clustering, and deep learning methods to characterize drought patterns and improve forecasting, revealing a tripartite drought structure and regional forecasting skill.
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Vallés et al. (2025) SERGHEI v2.1: a Lagrangian model for passive particle transport using a two-dimensional shallow water model (SERGHEI-LPT)
This paper introduces SERGHEI v2.1, a new Lagrangian particle transport (LPT) model coupled with a 2D shallow water model, designed to simulate passive particle advection and turbulent diffusion. The study evaluates the accuracy and computational efficiency of various numerical schemes, concluding that the online Euler method offers the best compromise for large-scale applications.
