Results 151 to 160 of about 5,810,036 (263)

Disentangling Spatial‐Temporal Features for Controllable Factors Learning in Precipitation Nowcasting

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Precipitation nowcasting refers to the high‐resolution forecasting of rainfall and hydrometeors within 0–6 hr according to the official definition of the World Meteorological Organization, which has relied on numerical models for decades. Recently, artificial intelligence (AI) has shown promise in addressing precipitation nowcasting.
Nan Yang   +3 more
wiley   +1 more source

Sharper Resolution of Arctic Sea Ice Dynamics With Non‐Conforming Finite Elements in FESOM2

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Sea ice dynamics in numerical models are discretized on a spatial grid, with variables defined at grid cell vertices, edges, or centers. The CD‐grid discretization places the velocity vector on element edges and tracers on vertices. On a triangular grid, the number of edges is three times the number of nodes, therefore placing velocity on ...
Jan P. Gärtner, Sergey Danilov
wiley   +1 more source

Hybrid feature selection with novel deep learning model for COVID-19 risk prediction. [PDF]

open access: yesSci Rep
P GS   +5 more
europepmc   +1 more source

Uncovering hidden bias in neutron diffraction residual strain measurements

open access: yesJournal of Applied Crystallography, Volume 59, Issue 4, Page 991-1004, August 2026.
This work demonstrates that diffraction‐based residual strain calculations and uncertainty estimates depend on how grain populations are sub‐sampled, with important implications for interpreting residual stresses in heterogeneous materials with fine‐scale microstructure and strain gradients.When calculating residual strain via neutron or X‐ray ...
Cole Franz   +4 more
wiley   +1 more source

Ecological examples of nonstationarity, nonlinearity and statistical interactions in dynamic structural equation models

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 8, Page 2510-2523, August 2026.
Abstract Ecologists are adapting structural causal modelling for spatial, phylogenetic and time‐series analysis. However, ecological extensions of path analysis and structural equation models (SEM) typically assume that interactions among variables are stationary, linear and additive, while ecological and evolutionary dynamics are often nonstationary ...
James T. Thorson, Kasper Kristensen
wiley   +1 more source

BIMr2: Inference of migration rates and their drivers from multilocus genotypes

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 8, Page 2330-2342, August 2026.
Abstract Understanding how environmental factors drive recent migration is crucial for predicting species' responses to habitat change and for informing conservation strategies. There is one method available (BIMr) aimed at identifying the environmental factors associated with migration patterns using genetic data.
Igor J. Chybicki   +2 more
wiley   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

open access: yesInternational Statistical Review, Volume 94, Issue 2, Page 347-381, August 2026.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez   +3 more
wiley   +1 more source

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