Short-term polar motion forecast based on the Holt-Winters algorithm and angular momenta of global surficial geophysical fluids

J Luo, W Chen, J Ray, J Li - Surveys in Geophysics, 2022 - Springer
By taking into account the variable free polar motion (PM) known as the Chandler wobble
(CW) and irregular forced PM excited by quasi-periodic changes in atmosphere, oceans and …

Neural ODE differential learning and its application in polar motion prediction

M Kiani Shahvandi, M Schartner… - Journal of Geophysical …, 2022 - Wiley Online Library
This paper introduces a new learning algorithm for accurate, physically driven time series
prediction. The fundamental assumption behind the method is that the phenomena follow …

[HTML][HTML] Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation …

MK Shahvandi, B Soja - Advances in Space Research, 2022 - Elsevier
Data uncertainty plays an important role in the field of geodesy. Even though deep learning
is becoming increasingly important for geodetic applications due to its high accuracy, it …

Second Earth Orientation Parameters Prediction Comparison Campaign (2 EOP PCC): Overview

J Śliwińska, T Kur, M Wińska, J Nastula, H Dobslaw… - Artificial …, 2023 - sciendo.com
Precise positioning and navigation on the Earth's surface and in space require accurate
earth orientation parameters (EOP) data and predictions. In the last few decades, EOP …

Evaluation of selected short-term predictions of UT1-UTC and LOD collected in the second earth orientation parameters prediction comparison campaign

T Kur, H Dobslaw, J Śliwińska, J Nastula… - Earth, Planets and …, 2022 - Springer
Advanced geodetic and astronomical tasks, such as precise positioning and navigation
require forecasted Earth Orientation Parameters (EOP). The Second Earth Orientation …

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 …

Geophysically Informed Machine Learning for Improving Rapid Estimation and Short‐Term Prediction of Earth Orientation Parameters

M Kiani Shahvandi, R Dill, H Dobslaw… - Journal of …, 2023 - Wiley Online Library
Rapid provision of Earth orientation parameters (EOPs, here polar motion and dUT1) is
indispensable in many geodetic applications and also for spacecraft navigation. There are …

Analysis and prediction of polar motion using MSSA method

X Jin, X Liu, J Guo, Y Shen - Earth, Planets and Space, 2021 - Springer
Polar motion is the movement of the Earth's rotational axis relative to its crust, reflecting the
influence of the material exchange and mass redistribution of each layer of the Earth on the …

Application of singular spectrum analysis and multilayer perceptron in the mid-long-term polar motion prediction

X Jin, J Guo, Y Shen, X Liu, C Zhao - Advances in Space Research, 2021 - Elsevier
Long-term prediction parameters of polar motion (PM) with high precision have an important
significance in understanding Earth geophysical processes in the future. The multilayer …

The Gumbel Copula Method for Estimating Value at Risk: Evidence from Telecommunication Stocks in Indonesia during the COVID-19 Pandemic

GM Tinungki, S Siswanto, A Najiha - Journal of Risk and Financial …, 2023 - mdpi.com
The COVID-19 pandemic has had a substantial and far-reaching impact on global economic
growth, extending its effects to Indonesia as well. Various sectors have witnessed a decline …