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Sen et al. (2026) Benchmarking farmers’ irrigation decisions using farm competition data and a crop growth model
This study benchmarks actual farmer irrigation practices against optimal amounts for maize production in Nebraska using the DSSAT CERES-Maize model to quantify water management efficiency.
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Llenas et al. (2026) EUMETNET SRNWP-EPS EFI/SOT Software: From Research to Operations in AEMET-γSREPS
Development and operational implementation of a Python-based software tool to compute the Extreme Forecast Index (EFI) and Shift of Tails (SOT) for EUMETNET's Limited Area Modelling Ensemble Prediction Systems (LAM-EPS).
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Migliavacca et al. (2026) Monitoring Europe’s forests in a changing climate
This article discusses the application of remote sensing to monitor accelerating biomass loss in European forests, emphasizing the ability to distinguish between harvesting and natural disturbances to inform climate policy.
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Tong et al. (2026) Sensitivity of Vegetation Greenness to Multi-Depth Soil Moisture on the Mongolian Plateau: Nonlinear Responses Revealed by RF–SHAP
This study evaluates the sensitivity of vegetation (NDVI) to soil moisture across different depths on the Mongolian Plateau from 1982 to 2022, finding that sensitivity is highest in the subsurface layer and has increased over time due to vegetation greening.
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Ali et al. (2026) Flood and drought risk management across the hydroclimatic spectrum in the most affected regions under changing water resources conditions
This perspective analyzes the evolving landscape of flood and drought risk management across high-risk global regions, concluding that integrated governance and nature-based solutions are essential to address escalating compound hydroclimatic risks.
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Manatsa et al. (2026) Multiscale ENSO and Indian Ocean Dipole Controls on Drought Across Mainland SADC : A Meridional Teleconnection Dipole, Its Seasonal and Sectoral Structure and a Domain‐Gated Readiness Index
This study evaluates the influence of the El Niño Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) on drought in the SADC mainland, identifying a meridional teleconnection dipole dominated by ENSO.
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Ansari et al. (2026) Terrestrial water storage monitoring in Bulgaria using Global Navigation Satellite System (GNSS) displacements and comparison with GLDAS, GLWS and GRACE products
The study estimates Terrestrial Water Storage (TWS) variations in Bulgaria by inverting GNSS vertical displacements into Equivalent Water Height (EWH), finding annual amplitudes typically between 10 and 30 mm.
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Attipoe (2026) Artificial Intelligence Applications in Climate-Smart Agriculture: A Critical Review of Evidence, Implementation and Responsible Innovation
This critical narrative review evaluates the application of artificial intelligence (AI) in climate-smart agriculture, concluding that while AI is effective for specific perception and prediction tasks, its actual contribution to climate-smart goals is often limited by poor model transferability and a lack of causal evidence.
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Meresa et al. (2026) Climate Change and Irrigation Effects on Hydrology and Crop Yield in the Geba Watershed, Tigray Region, Northern Ethiopia
This study evaluates the combined impacts of future climate change and irrigation expansion on the hydrology and crop yields of the Geba watershed in northern Ethiopia using the SWAT+ model. The findings indicate that while irrigation is intended to support agriculture, it may exacerbate hydrological stress by significantly reducing groundwater recharge and water yield.
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Ullah et al. (2026) Regional Temperature Trends and Future Warming Risks in Pakistan Using Bias‐Corrected CMIP6 Ensembles and Machine Learning Techniques
This study enhances regional temperature projections for Pakistan by integrating CMIP6 models with Fuzzy C-Means clustering, statistical bias correction, and machine learning to provide localized climate insights.
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Cording et al. (2026) Investigating the Combined Influence of the North Atlantic Oscillation and the East Atlantic Pattern on Monthly Precipitation Across Mainland Spain
This study analyzes the individual and combined impacts of the North Atlantic Oscillation (NAO) and East Atlantic (EA) patterns on monthly precipitation in mainland Spain from 1950 to 2020, concluding that their joint influence provides a more comprehensive understanding of precipitation variability than independent analysis.
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Turman et al. (2026) High-Resolution SMAP Soil Moisture in Agriculture: Capturing Field-Scale Variability in Soil Moisture and Evapotranspiration in the San Luis Valley
This study evaluates a new 400 m resolution soil moisture product derived from 36 km SMAP observations, demonstrating its superior ability to discern field-scale variability in irrigation and crop types compared to the standard 9 km product in the San Luis Valley, Colorado.
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Faria et al. (2026) Predicting Irrigated Rice Soil–Water Conditions Using Multispectral Remote Sensing and Machine Learning in Semi-Arid Australia
The study evaluates the use of multispectral remote sensing and machine learning to classify soil-water conditions in Australian rice fields, finding that while "Dry" and "Flooded" states are distinguishable, "Saturated" and "Flooded" states are difficult to differentiate.
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Liu et al. (2026) Land Surface Feedbacks Regulate Atmospheric Water Demand and Maintain Global Drying Stability
The study resolves the "aridity paradox" by revising the potential evaporation (PE) formulation to treat vapor pressure deficit (VPD) as a dynamic feedback rather than an external driver. This new approach indicates that global aridity will remain relatively stable under climate warming, contradicting previous projections of intensification.
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Mei et al. (2026) Diagnosing Cryospheric Runoff Dynamics: A Distributed Differentiable Hydrological Model With Global Transfer Learning
The study introduces dCREST, a differentiable physics-informed hydrological model, to improve runoff predictions in alpine regions by optimizing soil structure and utilizing global transfer learning to overcome local data scarcity.
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Bolsée et al. (2026) Corrigendum to “Wind flow dynamics over a photovoltaic power plant: Comparison with a vegetated canopy” [Agricultural and Forest Meteorology 388 (2026) 111306]
This document is a corrigendum that corrects a specific parameter value (transition scale $\lambda_c$) in a study comparing wind flow dynamics over a photovoltaic power plant and a vegetated canopy.
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Chotemankongsin et al. (2026) Evaluating the hydrological impacts of wetland restoration in a Dutch small catchment under future climate scenarios using SWAT+
This study evaluates the hydrological impact of strategic wetland restoration in the Linge catchment (Netherlands) using the SWAT+ model, finding that while NBS effectively reduce flood peaks, they may exacerbate water scarcity under dry future climate scenarios.
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Ragno et al. (2026) The Role of Structural and Transient Compoundness in Advancing Compound Event Characterization
The paper introduces the concepts of "structural compoundness" and "transient compoundness" to quantify the contributions of individual drivers to compound events, moving beyond a sole focus on statistical dependence.
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Ji et al. (2026) Reassessing Alpine Permafrost Thermal State by Accounting for Ground Ice
The study introduces an enthalpy-based metric ($\Delta H'$) to assess permafrost thermal state, demonstrating that it is superior to Mean Annual Ground Temperature (MAGT) because it accounts for the thermodynamic influence of ground ice.
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Rabbia et al. (2026) Framework for spatiotemporal soil moisture assessment: an application to the integration of model-based clustering with non-parametric change points detection
The study proposes a three-phase statistical framework combining model-based clustering and non-parametric change point detection to analyze spatiotemporal soil moisture variability in Punjab, Pakistan.
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Tiwari et al. (2026) Temporal Trends and Future Projections of Reference Evapotranspiration under Different Climate Change Scenarios in the Parbati Watershed
This study evaluates future reference evapotranspiration ($\text{ET}_0$) trends in the Parbati watershed across three climate scenarios, finding that $\text{ET}_0$ responses are non-uniform and vary significantly by month, scenario, and time period.
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Sahoo et al. (2026) Soil Moisture Prediction Using a Scalable and Validated Random Forest Regressor Model
The study proposes a scalable and cost-effective soil moisture prediction system using a Random Forest Regressor (RFR) optimized for deployment on edge devices to improve irrigation efficiency.
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Pan et al. (2026) Estimating daily evapotranspiration from remotely sensed instantaneous observations with surface flux equilibrium (SFE) theory and maximum entropy production (MEP) principle
The study proposes a method to estimate daily evapotranspiration by utilizing instantaneous remote sensing observations through the application of surface flux equilibrium (SFE) theory and the maximum entropy production (MEP) principle.
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Vegad et al. (2026) Reconstructing Long‐Term Reservoir Storage in India Using Hydrological Modeling and Machine Learning
The study reconstructs long-term daily live storage for major reservoirs in India using a hybrid approach of hydrological modeling and machine learning, finding that normalized storage has moderately declined due to increased water withdrawals.
