Results 161 to 170 of about 1,667 (210)

Applying Transfer Learning for Street‐Scale Nuisance Flood Forecasting in Coastal‐Urban Environments

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained ...
Binata Roy, Jonathan L. Goodall, Diana McSpadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram   +6 more
wiley   +1 more source

A review of feature selection methods for actual evapotranspiration prediction

Artificial Intelligence Review
Chalachew Muluken Liyew, Stefano Ferraris, Elvira Di Nardo, Rosa Meo   +3 more
openaire   +1 more source

Deep Soil Drying Increases Dryland Apple Tree's Eco‐Physiological Sensitivity to Atmospheric Drought

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Dryland tree survival critically depends on deep soil water (DSW), particularly during dry spells. However, DSW is often limited and can be exhausted during periods of active tree growth, as recharge from precipitation is minimal. The eco‐physiological responses of trees to compound droughts (i.e., combined deep soil and atmospheric droughts ...
Min Yang, Shaofei Wang, Xiaodong Gao, Hailong He, Bingcheng Si, Xining Zhao   +5 more
wiley   +1 more source

Automated Adaptive Baseflow Separation Across Australia's Catchments Using AutoVL

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Baseflow represents streamflow sustained between rainfall events and is fundamental to water security, ecosystem resilience, and drought management. However, widely used digital filters such as the Lyne–Hollick (LH) algorithm, when applied with a fixed, uncalibrated parameter, can substantially underestimate baseflow and obscure non‐stationary
Vincent Lyne, Ratnasingham Srikanthan, Thomas A. McMahon   +2 more
wiley   +1 more source

Joint Identification of Groundwater Contamination Source and Heterogeneous Hydrogeological Parameters in LNAPL‐Contaminated Sites Based on Deep Convolutional Encoder‐Decoder Neural Networks

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate identification of nonaqueous phase liquid (NAPL) contamination sources is critical in pollution management. However, the joint inversion of source characteristics and heterogeneous hydrogeological parameters faces two major challenges.
Jiannan Luo, Aimin Cai, Xi Ma, Yong Liu, Yefei Ji, Bishan Meng, Wenxi Lu   +6 more
wiley   +1 more source

Observations‐Driven Spatial‐Attention LSTM for Multi‐Depth Soil Moisture Prediction and Dynamic Soil Hydrological Process Connectivity Quantification

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Soil moisture dynamics in vertical profiles result from multiple interacting processes, generating complex temporal behavior and intricate connectivity patterns. However, accurately simulating multi‐depth soil moisture while diagnosing time‐varying vertical connectivity remains challenging.
Weiming Kang, Jie Tian, Zhengkun Zhou, Dongxiang Xue, Chansheng He   +4 more
wiley   +1 more source

A GRACE/‐FO‐Based Framework for Improved Reproduction of Water‐Balance‐Constrained Evapotranspiration Across Hydroclimatic Regimes

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Diagnosing monthly evapotranspiration (ET) under water‐balance constraints is essential for understanding land‐atmosphere interactions and managing water resources under changing climate conditions. Since 2002, the Gravity Recovery and Climate Experiment (GRACE) and its successor GRACE Follow‐On (GRACE/‐FO) missions have provided precise ...
Xiaolong Li, Jürgen Kusche, Taoyong Jin, Yulong Zhong, Benjamin Daniel Gutknecht   +4 more
wiley   +1 more source

Deforestation Triggers State‐Dependent Cloud Regimes in the Amazon

Earth's Future, Volume 14, Issue 8, August 2026.
Abstract The Amazon's arc of deforestation is a hotspot of rapid land‐cover change. Using 20 years of MODIS imagery combined with cloud property retrievals, CERES radiative fluxes, and ERA5 data, we show that deforestation consistently enhances low‐level cloudiness over non‐forest relative to nearby forest during the Amazon dry season.
Tom Dror, Graham Feingold
wiley   +1 more source

Nitrogen Memoryscapes: Typologies of Nitrogen Inputs and Riverine Loads Across the Continental United States

Earth's Future, Volume 14, Issue 8, August 2026.
Abstract Nitrogen pollution has severely impacted inland and coastal waters, contributing to eutrophication, harmful algal blooms, and drinking water contamination. Reducing nitrogen inputs is widely expected to improve water quality, but watershed responses to changing nitrogen surplus are often nonlinear and delayed, complicating expectations of ...
D. K. Byrnes, K. J. Van Meter, N. B. Basu   +2 more
wiley   +1 more source

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Actual evapotranspiration by use of MODIS data

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The aim of this research is to assess a technique to retrieve actual evapotranspiration (ET) maps from remote sensing images by the combination of two different procedures. The first one, known as triangle method, computes the evapotranspiration fraction (EF) defined as the ratio LE/Rn, where Rn is the net radiation at the surface and LE is the latent ...
Matarrese Raffaella, Portoghese Ivan, Vurro Michele, Soldo Pietro   +3 more
openaire   +2 more sources