A review on Hilbert‐Huang transform: Method and its applications to geophysical studies

NE Huang, Z Wu - Reviews of geophysics, 2008 - Wiley Online Library
Data analysis has been one of the core activities in scientific research, but limited by the
availability of analysis methods in the past, data analysis was often relegated to data …

The short-term prediction of length of day using 1D convolutional neural networks (1D CNN)

S Guessoum, S Belda, JM Ferrandiz, S Modiri, S Raut… - Sensors, 2022 - mdpi.com
Accurate Earth orientation parameter (EOP) predictions are needed for many applications,
eg, for the tracking and navigation of interplanetary spacecraft missions. One of the most …

[PDF][PDF] Spectral mixture analysis for monitoring and mapping desertification processes in semi-arid areas in North Kordofan State, Sudan

MA Khiry - 2007 - e-docs.geo-leo.de
Das Letzte Interglazial (Riß/Würm oder Warthe/Weichsel= Eem-Interglazial) ist
pollenanalytisch und durch die marine Eem-Fauna, auf dem Lande durch die letzte Antiquus …

A new hybrid method to improve the ultra-short-term prediction of LOD

S Modiri, S Belda, M Hoseini, R Heinkelmann… - Journal of geodesy, 2020 - Springer
Accurate, short-term predictions of Earth orientation parameters (EOP) are needed for many
real-time applications including precise tracking and navigation of interplanetary spacecraft …

Detection and modeling of nontidal oceanic effects on Earth's rotation rate

SL Marcus, Y Chao, JO Dickey, P Gegout - Science, 1998 - science.org
Subdecadal changes in Earth's rotation rate, and hence in the length of day (LOD), are
largely controlled by variations in atmospheric angular momentum. Results from two oceanic …

Prediction of UT1–UTC, LOD and AAM χ3 by combination of least-squares and multivariate stochastic methods

T Niedzielski, W Kosek - Journal of Geodesy, 2008 - Springer
This article presents the application of a multivariate prediction technique for predicting
universal time (UT1–UTC), length of day (LOD) and the axial component of atmospheric …

[HTML][HTML] Prediction of length-of-day using extreme learning machine

Y Lei, D Zhao, H Cai - Geodesy and geodynamics, 2015 - Elsevier
Traditional artificial neural networks (ANN) such as back-propagation neural networks
(BPNN) provide good predictions of length-of-day (LOD). However, the determination of …

Skillful prediction of length of day one year ahead in multiple decadal prediction systems

H Yoon, J Choi, SW Son, AA Scaife - npj Climate and Atmospheric …, 2024 - nature.com
Despite a small amplitude, Length of Day (LOD) change, which varies from one year to
another due to changes in Atmospheric Angular Momentum (AAM), determines the accuracy …

Middle-and Long-Term UT1-UTC Prediction Based on Constrained Polynomial Curve Fitting, Weighted Least Squares and Autoregressive Combination Model

Y Yang, T Xu, Z Sun, W Nie, Z Fang - Remote Sensing, 2022 - mdpi.com
Universal time (UT1-UTC) is a key component of Earth orientation parameters (EOP), which
is important for the study of monitoring the changes in the Earth's rotation rate, climatic …

Medium-and long-term prediction of length-of-day changes with the combined singular spectrum analysis and neural networks

Y Lei, D Zhao, M Guo - Studia Geophysica et Geodaetica, 2023 - Springer
Real-time estimates of the Earth orientation parameters (EOP) are currently unavailable for
users owing to the delay caused by complex data processing and heavy computation …