Results 201 to 210 of about 2,138,593 (302)

Asynchronous Coupling Between China's Forest Canopy Structure and Belowground Biomass Carbon in the 21st Century

open access: yesLand Degradation &Development, Volume 37, Issue 14, Page 10127-10146, 30 August 2026.
ABSTRACT The spatio‐temporal relationship between Forest Canopy Structure (FCS) and Belowground Biomass Carbon (BGBC) is fundamental to determining how optimizing spatial structure can maximize forest carbon‐sink potential in land management. However, the lidar data resolution over the space and time exists limitation, causing the coupling relationship
Chengyin Liu   +10 more
wiley   +1 more source

Concurrent Multi‐Scale Simulation of Progressive Damage in Laminated Composites Using Shell Finite Elements

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 16, 30 August 2026.
ABSTRACT This paper presents a study on multi‐scale modelling of progressive damage model in laminated composites using shell finite elements, with considerations for the effects of manufacturing defects. The approach utilises second‐order homogenisation with 5‐parameter shell formulation to capture the effects of complex sub‐structural geometry and ...
Aewis K. W. Hii   +2 more
wiley   +1 more source

Particle Size as a Key Remaining Uncertainty in Dust Direct Radiative Effect After EMIT: An Earth System Model Study

open access: yesGeophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Mineral dust exerts a major but uncertain radiative influence on Earth's climate. Using near‐global mineralogical constraints from NASA's Earth Surface Mineral Dust Source Investigation (EMIT) mission in an Earth system model, we quantify the relative importance of iron‐oxide content and particle size for estimating the dust direct radiative ...
Longlei Li   +2 more
wiley   +1 more source

Identifying and Correcting Inhomogeneities in the Near‐Surface Specific Humidity Record

open access: yesGeophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract There are notable discrepancies between near‐surface humidity trends in observational products as compared to climate models. Here, we explore the extent to which the discrepancy can be explained by inhomogeneities in the observational record.
Karen A. McKinnon   +5 more
wiley   +1 more source

A Deep‐Learning‐Based Wind Gust Estimation Scheme in Complex Terrain

open access: yesGeophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Accurate prediction of gusts is critical for risk mitigation, but the turbulent processes that generate gusts are unresolved in conventional numerical weather prediction models. Here we introduce a deep‐learning‐based wind gust estimation scheme (DL‐GUST) that uses archived diagnostics from the Weather Research and Forecasting (WRF) model ...
Aiwei Li   +6 more
wiley   +1 more source

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