Results 241 to 250 of about 76,334 (347)

The Fate of Western Headwaters: Climate Controls on Base‐Flow Decline

open access: yesEarth's Future, Volume 14, Issue 6, June 2026.
Abstract Headwater streams comprise nearly 88% of the western U.S. river network and supply most of the region's surface water, making them especially sensitive to warming, snowpack loss, and drought. As surface‐water inputs decline, groundwater increasingly sustains streamflow, elevating the need to understand long‐term trends in base flow and their ...
Caelum Mroczek   +2 more
wiley   +1 more source

Acute sleep deprivation increases serum levels of neuron-specific enolase (NSE) and S100 calcium binding protein B (S-100B) in healthy young men.

open access: yesSleep, 2014
C. Benedict   +13 more
semanticscholar   +1 more source

Replacement of Corn by Perennial Cellulosic Bioenergy Crops on Sloping Farmland: Implications for Water Quality and Economic Benefits

open access: yesEarth's Future, Volume 14, Issue 6, June 2026.
Abstract Perennial cellulosic bioenergy crops have the potential to control nutrient losses from agriculture while providing biomass for biofuel production. This study employed a rigorously calibrated Soil and Water Assessment Tool (SWAT) model to assess the effects of replacing conventional corn (Zea mays L.) with Miscanthus × giganteus and Alamo ...
Xiaoyu Zhang   +9 more
wiley   +1 more source

Knowledge Distillation for Improving Deep Learning‐Based Hydrological Prediction and Fine‐Tuning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This paper introduces knowledge distillation (KD) as a method for improving deep learning (DL)‐based hydrological prediction. The performance of DL models, including long short‐term memory networks (LSTMs), is highly dependent on model structure and training data quality, posing challenges for transfer learning.
M. S. Jahangir   +3 more
wiley   +1 more source

Inter–Annual Variability of Model Parameters Improves Simulation of Annual Gross Primary Production

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract Parametric uncertainty can hinder land surface models (LSM) from accurately simulating carbon fluxes, such as gross primary production (GPP). These models generally cannot capture inter–annual variability (IAV) of fluxes well due to missing processes, and temporally varying parameters can partially alleviate this limitation.
Ranit De   +18 more
wiley   +1 more source

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