
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 27, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 27, 2024
Language: Английский
Surveys in Geophysics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 10, 2025
Language: Английский
Citations
2Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(5)
Published: March 5, 2025
Abstract It has been demonstrated that the motion of Earth's rotational pole with respect to crust—termed polar motion—is increasingly influenced by barystatic processes, is, continental‐ocean mass redistribution due melting ice sheets, global glaciers, and variations in terrestrial water storage. However, how these processes might impact century is not known. Here we investigate this problem under various climatic scenarios, namely, Representative Concentration Pathways (RCP) Shared Socioeconomic Pathways. We show climate‐induced sensitive choice scenario; optimistic RCP2.6, wander 12 m 1900, whereas pessimistic RCP8.5 more than twice as much (27 m). The most important contributor sheets (Greenland and, a lesser degree, Antarctica), followed
Language: Английский
Citations
1eTransportation, Journal Year: 2025, Volume and Issue: unknown, P. 100420 - 100420
Published: April 1, 2025
Language: Английский
Citations
1Earth and Space Science, Journal Year: 2025, Volume and Issue: 12(1)
Published: Jan. 1, 2025
Abstract Barystatic sea level stores excess water mass from the atmosphere and land to maintain global conservations within Earth system. Besides secular contribution sea‐level rise, changes in barystatic also play an important role mass‐induced length‐of‐day (LOD) variations over a few years or shorter periods. Compared deduced geophysical models, Gravity Recovery Climate Experiment GRACE follow‐on (GRACE/GFO) measurements provide actual observed ocean changes. Here, we investigate short‐term both seasonal (annual semiannual) non‐seasonal LOD caused by redistribution using GRACE/GFO estimates effective angular momentum (EAM) products, particularly quantitatively assessing excitation level. Note that correcting problem of non‐conservation is necessary for spherical harmonic mascon solutions calculate accurately. term contributions derived considering conservation show high consistency with satellite laser ranging results are much closer geodetic observations than EAM products at time scales. The exhibits most significant amplitude variations, compensating hydrological excitation, but shows no clear correlation atmosphere. Due slight fluctuations cryospheric effects substantial compensatory action level, differences do not lead deviations total between estimates.
Language: Английский
Citations
0Geological Journal, Journal Year: 2025, Volume and Issue: unknown
Published: March 2, 2025
ABSTRACT This paper investigates the global influence of Earth's pole motion on CO 2 emissions through warming. Empirical evidence is provided using cointegration techniques and Vector Error‐Correction estimator, covering 1962–2022. Additionally, panel Autoregressive Distributed Lag models are utilised, incorporating data from 1990 to 2020 across 144 countries bolster findings. The first set results evidences that positively influences warming dynamics in short‐term, particularly X coordinate, dynamics. Further, shock can be indirectly transmitted emissions, with mediating. EKC effect renewable energy also considered. second findings refers emissions. Herein, reduces especially during sinusoidal periods motion. In contrast, long‐term trends show a positive relationship between highlighting ecosystem modifications like sea‐level rise non‐linear economic growth Moreover, study identifies indirect pathways linking motion, warming, underscoring role factors Coriolis Effect influencing responses hemispheres. summary, boosts short term, mitigating but has an expansive tendency long term. policy implications primarily involve adaptive frameworks address dynamic geo‐environmental conditions, development reduce dependence fossil fuels by fostering low‐carbon economy innovation cost reduction, climate resilience measures, implementation effective monitoring systems track
Language: Английский
Citations
0Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 645 - 645
Published: April 8, 2025
In Mediterranean ecosystems, a thorough understanding of seedling regeneration dynamics as well good predictive ability the process is essential for sustainable forest management. Leveraging capacity multilayer perceptron (MLP) recognized artificial intelligence methodology, authors analyzed real case study with dataset encompassing environmental, ecological, and forestry variables. The focused on cork oak (Quercus suber, L.) dynamic, which critical maintaining ecosystem resilience. A set 10 MLP block from 5 to 50 neurons hyperbolic tangent (TanH), linear (LIN), Gaussian (GAUS) activation function were tested their performance purposes was compared traditional quantitative approaches. configured 40–50 per (TanH, LIN, GAUS) demonstrated outstanding performance, achieving an area under curve (AUC) receiver operating characteristic precision-recall scores above 0.80. These models made few prediction errors, effectively explaining majority data variance, indicated by high generalized R2 low mislearning ratio. This approach outperformed statistical in predicting regeneration. Tree density, stand density index, acorn number played important role, influencing prediction. conclusion, results this research determined importance AI classification modeling technique regeneration, providing practical references future management strategy decisions.
Language: Английский
Citations
0Advances in Space Research, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0Physics of The Earth and Planetary Interiors, Journal Year: 2025, Volume and Issue: 364, P. 107366 - 107366
Published: May 5, 2025
Language: Английский
Citations
0Applied Sciences, Journal Year: 2025, Volume and Issue: 15(11), P. 6298 - 6298
Published: June 3, 2025
This study proposes the use of Physics-Informed Neural Networks (PINNs) to further advance curvature interference analysis method. The nonlinear equation system encountered in determining limit line is embedded into PINN loss function, thereby enabling solution high-dimensional, equations. Computational results demonstrate that model achieves a accuracy on order 10−13 when solving multidimensional systems, which comparable classical Fsolve algorithm. reveals presence two boundary lines, although they rarely extend worm gear tooth surface. A influence design parameters boundaries indicates axial installation distance has greatest impact. Inadequate spacing causes shift toward inner end gear, significantly increasing risk region. proposed method based PINNs can be extended other types drives. It also lays foundation for future work establishing both forward and inverse mappings between using PINNs.
Language: Английский
Citations
0Advances in Space Research, Journal Year: 2025, Volume and Issue: unknown
Published: June 1, 2025
Language: Английский
Citations
0