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Unknown (2026) Multilayer soil moisture deficit amplifies drought impacts on global ecosystems
The study finds that droughts are significantly more damaging when moisture deficits occur simultaneously across multiple soil layers, as this eliminates vertical hydrological buffering and threatens global carbon uptake.
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Cloutier-Gervais et al. (2026) Evaluation of the Canadian Regional Climate Model in Simulating Extratropical Cyclones Over Northeastern North America
This study evaluates the Canadian regional climate model (CRCM) v6 in simulating extratropical cyclones (ETCs) over northeastern North America, demonstrating that a 2.5-km convection-permitting configuration improves the representation of extreme precipitation and wind speed biases compared to a 12-km configuration.
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Huang et al. (2026) Ecological drought evolution analysis and risk assessment based on three-dimensional Copula function and cloud model
The study develops an Ecological Drought Index (EDI) using a three-dimensional Copula function to analyze the spatiotemporal patterns and risk uncertainties of ecological droughts in the Yellow River Basin.
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Ahmed et al. (2026) Three decades of vegetation change in Jabel Marra: climate drivers and post-conflict vegetation dynamics
This study analyzed vegetation dynamics in the Jabel Marra region of Sudan from 1994 to 2024, finding a significant increase in greenness primarily driven by precipitation and temperature variability.
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Moradian et al. (2026) Climate change intensifies the temporal persistence of droughts through a shift from seasonal to prolonged drought regimes
This study analyzes the temporal symmetry and persistence of global meteorological droughts using CMIP6 projections, finding a transition from seasonal droughts toward more persistent, multi-year drought regimes under future climate scenarios.
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Qian et al. (2026) Asymmetric Relationship Between the East China September Precipitation and El Niño‐Southern Oscillation in the Decaying Phases Over the Past Three Decades
This study examines the asymmetric impact of decaying El Niño and La Niña events on September precipitation in East China, finding that La Niña leads to significant precipitation deficits while El Niño results in weak positive anomalies.
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Yasmeen et al. (2026) An adaptive deep learning framework for multi-temporal crop and drought stress monitoring in precision agriculture
The study proposes a hybrid deep learning framework combining Convolutional Neural Networks (CNN) and Vision Transformers (ViT) to monitor crop and drought stress using multi-temporal Sentinel-2 satellite imagery.
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Toe et al. (2026) Machine Learning-Based Reconstruction of Missing Meteorological Observations Using Reanalysis and Satellite Data in West Africa
This study develops a machine learning framework to reconstruct missing hourly meteorological data in West Africa by integrating in situ AWS observations with ERA5-Land reanalysis and GPM satellite products.
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Massari et al. (2026) Detecting Irrigation From Spectral Differences Between Satellite and Modeled Soil Moisture Across the Contiguous United States
The study presents a wavelet-based method to detect irrigation by analyzing spectral differences between Noah-MP model simulations and SMOS satellite soil-moisture observations across the contiguous United States.
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Adamo et al. (2026) Soil Moisture, Irrigation Actuator and Weather Dataset from a Multi-Sector Precision-Irrigation
This dataset provides high-resolution soil moisture, weather, and irrigation actuator telemetry from a multi-crop precision-irrigation farm in Italy to facilitate the development of actionable irrigation management models.
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Afzal et al. (2026) Contrasting roles of climate change and land-use change on runoff dynamics in a semi-humid monsoon watershed of China
This study quantifies the individual and combined impacts of climate variability and land-use change on runoff in the Dongwan Watershed, China. It finds that climate change is the primary driver of runoff dynamics, while land-use change acts as a secondary, moderating factor.
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Nash et al. (2026) Annual and Seasonal Rainfall Variability in Mozambique During the Nineteenth Century
This study presents the first annually and seasonally resolved documentary rainfall reconstructions for Mozambique from 1817 to 1900, revealing significant spatial-temporal variability and non-stationary relationships with ENSO.
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Jiang et al. (2026) Impacts of Urbanization on Compound Heat and Drought Events in the Beijing–Tianjin–Hebei Region Based on Explainable Machine Learning
This study quantifies the impact of urbanization on compound heat and drought events (CHDEs) in the Beijing–Tianjin–Hebei region, finding that urban expansion significantly increases the frequency, duration, and severity of these events.
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Morales et al. (2026) Soil Moisture Persistence and Integrated Drought-State Variability in a Semi-Arid Andean Region
This study examines soil moisture persistence and coupled drought-state variability in the southern Peruvian Andes to improve drought monitoring. It introduces an Integrated Drought State (IDS) index to synthesize the delayed responses of land-surface conditions relative to precipitation anomalies.
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Tantray et al. (2026) Enhancing soil hydrothermal efficiency through spectral-selective mulching and drip irrigation in broccoli (Brassica oleracea var. italica L.)
This study evaluates the impact of various mulching materials on soil properties and broccoli yield, finding that silver plastic mulch optimizes productivity while organic mulch enhances soil health.
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Shen et al. (2026) SMFS-RF: a knowledge-guided machine-learning method for crop phenology extraction from fine-resolution vegetation index data
The study introduces SMFS-RF, a knowledge-guided machine learning framework that combines shape model fitting with random forest regression to accurately extract eight key rice phenological stages from fine-resolution NDVI data.
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Wang et al. (2026) Modulation of High‐Temperature Events in the Pearl River Delta by Tropical Cyclones With Different Track Types
This study examines how different tropical cyclone (TC) track types influence temperature events in the Pearl River Delta (PRD) and finds that global warming will likely weaken both TC-induced warming and cooling effects due to a decrease in TC frequency.
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Deng et al. (2026) Effects of aboveground biomass and soil moisture drought on VOD-based global isohydricity estimates
This study evaluates the robustness of two VOD-based isohydricity metrics ($\sigma$ and $R_{slope}$), concluding that $R_{slope}$ is significantly more stable and less influenced by biomass dynamics and dataset variations than $\sigma$.
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Park et al. (2026) Disentangling the relative importance of tree-cast shadows and transpiration in mitigating urban extreme heat
This study uses numerical simulations to quantify the cooling effects of street trees, finding that transpiration is significantly more effective than tree-cast shadows in mitigating urban extreme heat during the daytime.
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Shafiei et al. (2026) Downscaling SMAP Soil Moisture to 1 km with Machine Learning and MODIS Data for Agricultural Drought Assessment in Békés County, Hungary
This study compares three machine learning frameworks to downscale SMAP soil moisture data from 9 km to 1 km in Békés County, Hungary, concluding that Random Forest provides the most accurate high-resolution mapping.
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Yuan et al. (2026) Extreme Hydrological Events and Lake-Wetland Landscape Dynamics: Toward Adaptive Management in Large Freshwater Systems-Insights from Poyang Lake, China
This study analyzes the impact of compound drought and flood disturbances on Poyang Lake, identifying critical water level thresholds that trigger abrupt transitions in landscape connectivity and habitat stability.
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Wu et al. (2026) Global Transpiration Changes and Its Drivers in the Future
The study develops a quantitative first-order attribution framework to determine how atmospheric $\text{CO}_2$, air temperature, and leaf area index (LAI) jointly influence projected changes in global plant transpiration across different Shared Socioeconomic Pathways (SSPs).
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Li et al. (2026) Mapping Groundwater‐Dependent Ecosystems for Contiguous China With Selected Hydroclimatic Windows
The study developed a mapping framework integrating remote sensing, soil, and modeled groundwater depth to identify Groundwater-dependent ecosystems (GDEs) across contiguous China, identifying varying levels of GDE potential across the region.
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Fan et al. (2026) Three‐Dimensional Simulation of Tile Drainage System for Farmland: Quantifying Tile Drainage Impacts on Hydrological Cycle
This study investigates the impact of tile drainage design—specifically depth and spacing—on evapotranspiration (ET) and water budgeting in an Iowa corn field using an enhanced PFLOTRAN model. The results indicate that tile depth significantly influences ET and surface runoff, whereas tile spacing has a minimal effect.
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Schneider (2026) The satellite revolution for monitoring forest ecosystems needs knowledge integration
The paper argues that the primary challenge in forest monitoring has shifted from a lack of data to the need for integrating satellite observations with field data and models across scales to address biodiversity and climate crises.
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Jung et al. (2026) Development of a New Generic AI Model for Spatio‐Temporal Prediction of Soil Moisture and Soil Water Isotopes
The study implements a sequential AI approach combining LSTM and Random Forest models to simulate daily soil moisture and soil water isotopes in a mixed land use catchment, demonstrating superior performance over traditional process-based models.
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Cao et al. (2026) Anthropogenic dominance of water storage variability in the Yellow River Basin: A machine learning synthesis of multi-source data (1981–2031)
This study utilizes a machine learning synthesis of multi-source data to analyze water storage variability in the Yellow River Basin from 1981 to 2031, concluding that anthropogenic factors are the dominant driver.
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Feng et al. (2026) Reconstructing terrestrial water storage and quantifying drought evolution in Australia using LSTM networks
The study implements a Long Short-Term Memory (LSTM) framework to reconstruct high-resolution Terrestrial Water Storage (TWS) in Australia by fusing GNSS and GRACE data with meteorological inputs, effectively filling GRACE mission gaps and improving drought monitoring.
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Tao et al. (2026) Drought Propagates Asynchronously Across Hydrological Compartments: Stage Differences in Propagation Time and Implications for Drought Monitoring
This study examines the timing and characteristics of drought propagation across meteorological, soil, and groundwater compartments in China, revealing that the transition from soil to groundwater is significantly slower than the transition from meteorological to soil conditions.
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Çavuş et al. (2026) Budyko Curve Conformance Unravelling Hydrological Change in a Semi‐Arid Mediterranean‐Climate River Basin
This study utilizes a Budyko-based water balance framework to analyze long-term streamflow changes in the Gediz River Basin, concluding that climate variability—specifically declining precipitation—is a primary driver of streamflow reduction since a regime shift in 1984.
