Results 181 to 190 of about 234 (191)
Abstract Previous studies reporting the spatial inhomogeneity and heterogeneity of cirrus cloud properties have primarily been case studies derived from relatively small data sets. This study evaluates the spatial heterogeneity and inhomogeneity of cirrus bulk microphysical properties using ∼60 hr of in situ measurements from eight field campaigns. The
John D’Alessandro +2 more
wiley +1 more source
The 2025 Mw 7.6 Aomori‐Oki Megathrust Sequence and a Slip‐Parallel Seismic Belt to the Trench
Abstract The 2025 Mw 7.6 Aomori‐Oki earthquake nucleated near the 1968 Mw 8.3 Tokachi‐Oki rupture area. Our waveform inversion reveals large slip (>1 m) extending ∼40 km northward from the hypocenter, overlapping the inferred 1968 northern asperity. Minor secondary slip (0.2–0.6 m) was resolved ∼60 km updip, and high‐precision relocations show that ...
Keisuke Yoshida +2 more
wiley +1 more source
The Global Contribution of Individual Submarine Groundwater Discharge Components to the Ocean
Abstract Saline submarine groundwater discharge (SSGD) contributes to ocean chemistry through water‐rock interactions as seawater circulates in coastal aquifers. Its components, driven by different mechanisms, exhibit varying residence times and degrees of chemical alteration, so constraining solute fluxes requires quantifying each component.
Y. Levy, H. A. Michael, S. Sahu, Y. Kiro
wiley +1 more source
Abstract Bryde's whales form a major coastal aggregation in the Beibu Gulf, China. Using 1 year of continuous island‐based seismic recordings from Xieyang Island, we established a large labeled data set of coastal Bryde's whale calls with more than 1.7 million samples.
Zhuo Xiao +6 more
wiley +1 more source
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Approximate solution of hyperbolic conservation laws by discrete mollification
Applied Numerical Mathematics, 2009The authors propose explicit schemes for one-dimensional linear and nonlinear hyperbolic conservation laws. Combination of these methods with discrete mollification yields new methods with the following properties: Large time steps are allowed and stability is preserved.
CARLOS D Acosta, CARLOS E Mejia
exaly +3 more sources
Numerical Algorithms, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Zakeri, A Amiraslani
exaly +3 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Zakeri, A Amiraslani
exaly +3 more sources
Inverse Problems in Science and Engineering, 2020
This paper concerns a one-phase inverse Stefan problem in one-dimensional space. The problem is ill-posed in the sense that the solution does not depend continuously on the data.
Ali Zakeri, A Amiraslani
exaly +2 more sources
This paper concerns a one-phase inverse Stefan problem in one-dimensional space. The problem is ill-posed in the sense that the solution does not depend continuously on the data.
Ali Zakeri, A Amiraslani
exaly +2 more sources
Regularization of a nonlinear inverse problem by discrete mollification method
2021Summary: In this article, the application of discrete mollification as a regularization procedure for solving a nonlinear inverse problem in one dimensional space is considered. Illposedness is identified as one of the main characteristics of inverse problems. It is clear that if we have a noisy data, the inverse problem becomes unstable.
Bodaghi, Soheila +2 more
openaire +1 more source
Stabilization of explicit methods for convection diffusion equations by discrete mollification
Computers and Mathematics With Applications, 2008CARLOS D Acosta, CARLOS E Mejia
exaly

