Evaluation of short-middle Earth rotation parameter forecasting: multi-scales effects and multi-data solutions DOI Creative Commons
Kunpeng Shi, Hao Ding, Xikang Chen

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Abstract Predicting Earth Rotation Parameters (ERP) is crucial for the precise positioning and navigation both on Earth’s surface space. As complex variations of Earth's rotation, ranging from high-frequency trembles, inter-annual to -decals oscillations, however, high-precision ERP predictions are rather challenging. For accurate these stable signals, we develop an simple, adaptive yet HSA + AR model improved in muti-scales frequencies: (1) Hankel-z quarter-parameters {A, α, f, θ} (amplitude, damping, frequency, phase) harmonic fit Chandler, Annual/Semi-annual wobbles over past 10-years; (2) Multiple-peaks low-frequency 1962-now; step (1)-(2) termed as method (3) modelling irregular residual variations. In secular stability test, our results derived final IERS C04 solutions can largely reduce forecast errors beyond 60% each components (within 1–90 days), compared LS methods. Considering superior short-term calibration by terms fluid excitation, determine rapid GNSS (HSA (rapid) AR, low latency) GFZ EAM (EAM)) predictive basis. real experiments, (EAM) (1–20 days) middle-term (20–90 significantly surpass benchmark official Bulletin A mostly studies same epochs. Both featured with a shorter latency 1–2 days. Therefore, strategy further advanced real-time greatly existing solutions, which support various scientific operational applications future.

Language: Английский

Why is the Earth System Oscillating at a 6-Year Period? DOI Creative Commons
Anny Cazenave, Julia Pfeffer, Mioara Mandéa

et al.

Surveys in Geophysics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Language: Английский

Citations

2

Climate‐Induced Polar Motion: 1900–2100 DOI Creative Commons
Mostafa Kiani Shahvandi, Benedikt Soja

Geophysical 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

1

State Estimation of Lithium-Ion Batteries via Physics-Machine Learning Combined Methods: A Methodological Review and Future Perspectives DOI
Hanqing Yu, Hongcai Zhang, Zhengjie Zhang

et al.

eTransportation, Journal Year: 2025, Volume and Issue: unknown, P. 100420 - 100420

Published: April 1, 2025

Language: Английский

Citations

1

Role of Barystatic Sea Level Change in Global Mass Conservation and Its Excitation to Length‐Of‐Day Variations DOI Creative Commons
Qiqi Shi, Y. Z. Zhou, Cancan Xu

et al.

Earth 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

0

Impact of Pole Motion on CO2 Emissions Through Global Warming DOI Open Access
Mihai Mutaşcu

Geological 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

0

Cork Oak Regeneration Prediction Through Multilayer Perceptron Architectures DOI Open Access
Angelo Fierravanti, Lorena Balducci, Teresa Fonseca

et al.

Forests, 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

0

Improved Polar Motion Prediction Using a Genetic Algorithm Optimized Backpropagation Neural Network and Effective Angular Momentum Functions DOI
Xinghan Niu, Na Wei, Yue Zhou

et al.

Advances in Space Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Core-climate coupling: Changes in the Earth’s core dynamics driven by climatic processes DOI
Mostafa Kiani Shahvandi

Physics of The Earth and Planetary Interiors, Journal Year: 2025, Volume and Issue: 364, P. 107366 - 107366

Published: May 5, 2025

Language: Английский

Citations

0

Research on Curvature Interference Characteristics of Conical Surface Enveloping Cylindrical Worm–Face Worm Gear Drive DOI Creative Commons
Shibo Mu, Xingwei Sun, Zhixu Dong

et al.

Applied 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

0

Analysis of Periodic Patterns, Noise Characteristics, and Predictive Modeling of Polar Motion and Length Of Day DOI

Shayan Shirafkan,

Mohammad Sharifi, Santiago Belda

et al.

Advances in Space Research, Journal Year: 2025, Volume and Issue: unknown

Published: June 1, 2025

Language: Английский

Citations

0