Results 131 to 140 of about 30,581 (239)

Global River Discharge Projections From a Large Multi‐Model Ensemble of CMIP6 and ISIMIP3b Simulations

open access: yesEarth's Future, Volume 14, Issue 8, August 2026.
Abstract Rivers are central to the global hydrological cycle, supporting ecosystems and human water use. River discharge, one of the best observed hydrological variables, is expected to change under anthropogenic warming with potentially devastating consequences.
P. B. Seubert   +4 more
wiley   +1 more source

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

open access: yesWater 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   +6 more
wiley   +1 more source

Spatiotemporal Drivers of Runoff Event Timescales: An Event‐Based Clustering Approach Applied to 388 Catchments in the Contiguous United States

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Runoff responds differently to rainfall events depending on antecedent wetness conditions and catchment properties. One major characteristic of the response is the runoff event timescale, herein defined as the ratio of event volume to peak runoff rate.
Adriane Hövel   +4 more
wiley   +1 more source

A Hierarchical Deep Learning Framework for Runoff Prediction Using Raster‐Based Spatial Representations

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Large‐sample deep learning runoff models rely primarily on aggregated catchment attributes, which may obscure informative spatial patterns. Using 531 watersheds in the contiguous United States, we develop a hierarchical deep learning framework that represents static watershed properties from watershed‐averaged raster aggregation to ...
De‐Hui Ouyang, E Deng, Yi‐Qing Ni
wiley   +1 more source

Demineralization of Camel Dentin for Dental Tissue Engineering. [PDF]

open access: yesInt Dent J
Khurshid Z   +6 more
europepmc   +1 more source

Diagnosing Cryospheric Runoff Dynamics: A Distributed Differentiable Hydrological Model With Global Transfer Learning

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate hydrological prediction in alpine regions remains challenging due to complex cryospheric processes and limited observational records. Traditional hydrological models are often subject to structural uncertainty, whereas purely data‐driven deep learning (DL) models may lack physical interpretability under non‐stationary climate ...
Jun Mei   +7 more
wiley   +1 more source

Assessing the Origin of the COVID19 Pandemic Is Still Important

open access: yesFASEB BioAdvances, Volume 8, Issue 8, August 2026.
ABSTRACT The COVID19 pandemic, caused by the betacoronavirus SARS‐CoV‐2, now ranks among the world's deadliest plagues, and certainly one of the most significant public health crises in the last 100 years. Despite more than 6 years of investigating the pandemic, it has been difficult to assess the origin of the disease in the City of Wuhan, China.
Jason D. Bannan
wiley   +1 more source

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