Results 161 to 170 of about 43,338 (271)

Sensitivity Analysis and Parameterization Scheme Optimization for Soil Vertical Heterogeneity on the Tibetan Plateau Based on the Community Land Model 5.0

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract Soil vertical heterogeneity significantly influences hydrothermal transport processes in the Tibetan Plateau. This study investigates how soil vertical discretization schemes affect soil texture representation and hydrothermal transport in CLM5.0 (Community Land Model) through three sensitivity experiments: a coarse scheme, the default scheme,
Pengfei Xu   +9 more
wiley   +1 more source

Evaluate Sequential Interventions for Adaptive Water Management in Large River Basins

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Integrated River Basin Management (IRBM) and Adaptive Water Management (AWM) have been widely promoted as guiding principles, yet their practical realization at the basin scale remains difficult and underutilized. Sequential Interventions (SIs), stepwise actions applied in a predefined sequence at designated decision points, offer a practical ...
Yuhan Yan   +3 more
wiley   +1 more source

Leveraging the TabPFN Algorithm for High‐Resolution Mapping of Groundwater Bicarbonate and Its Scaling Risk Across China

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Large‐scale groundwater quality prediction is often constrained by sparse sampling, limiting the reliability of spatial assessments. This study introduces Tabular Prior‐data Fitted Network (TabPFN), a machine learning model based on prior‐fitting networks, to address this challenge and enable high‐precision mapping of groundwater bicarbonate ...
Tong Sun   +8 more
wiley   +1 more source

DeepOT: A Deep Learning Framework for Pixel‐Level Ground Surface Displacement Estimation From SAR Amplitude Imagery

open access: yesEarth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Monitoring ground surface displacement is critical for understanding geophysical processes and mitigating natural hazards, yet conventional Synthetic Aperture Radar (SAR) techniques are often limited by decorrelation, complex terrain, and heterogeneous motion.
Jinwoo Kim, Hying‐Sup Jung, Zhong Lu
wiley   +1 more source

Understanding Interannual Variability of Brahmaputra River Basin Flows Through Bayesian Causal Networks

open access: yesEarth's Future, Volume 14, Issue 5, May 2026.
Abstract Bayesian Causal Networks (BCNs) are adapted to investigate causal factors of hydroclimate variability in the Brahmaputra River Basin (BRB) during the seasonal and sub‐seasonal periods. This is the longest monsoonal river system in India, prone to frequent severe flooding.
Naman Kishan Rastogi   +2 more
wiley   +1 more source

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