Effect of post-seismic deformation on earth orientation parameter estimates from VLBI observations: a case study at Gilcreek, Alaska

2005 ◽  
Vol 79 (4-5) ◽  
pp. 196-202 ◽  
Author(s):  
O. Titov ◽  
P. Tregoning
Keyword(s):  
Parameter Estimates ◽  
Orientation Parameter ◽  
Earth Orientation Parameter ◽  
Earth Orientation ◽  
Vlbi Observations ◽  
Seismic Deformation

Earth Orientation Parameter Analysis from VLBI Data

1998 ◽  
pp. 318-324
Author(s):  
V. Thorandt ◽  
A. Reinhold ◽  
D. Ullrich ◽  
J. Ihde ◽  
J. Campbell ◽  
...  
Keyword(s):  
Parameter Analysis ◽  
Orientation Parameter ◽  
Earth Orientation Parameter ◽  
Earth Orientation ◽  
Vlbi Data

Status of ESA’s independent Earth Orientation Parameter products

2020 ◽  
Author(s):  
Erik Schoenemann ◽  
Tim Springer ◽  
Michiel Otten ◽  
Volker Mayer ◽  
Sara Bruni ◽  
...  
Keyword(s):  
Earth Rotation ◽  
Orientation Parameter ◽  
Earth Orientation Parameter ◽  
International Earth Rotation Service ◽  
International Gnss Service ◽  
Earth Orientation Parameters ◽  
Earth Orientation ◽  
The Earth ◽  
International Earth Rotation ◽  
Orientation Parameters

<p>The availability of highly accurate, up-to-date Earth Orientation Parameters is of major importance for all positioning and navigation applications on Earth, Sea, Air and also in Space. This is equally true for ESA missions and the EU space programs, e.g. Galileo, EGNOS and Copernicus.</p><p>In the frame of its responsibility to provide the Geodetic reference for ESA missions, ESA’s Navigation Support Office at ESOC is already contributing to the realisation of the International Terrestrial Reference Frame (ITRF) and the combined Earth Orientation Parameters provided by the International Earth Rotation Service (IERS). The contribution is realised through individual contributions to international services such as the International GNSS Service (IGS), the International Laser Ranging Services (ILRS), the International DORIS Service (IDS), the International Earth Rotation Service (IERS) and in the future also to the International VLBI Service (IVS).</p><p>For the combination and the long-term predictions of the Earth orientation products ESA is still relying on the International Earth Rotation Service (IERS). Over the past years, ESA repeatedly experienced problems with outdated or missing predictions of the Earth orientation parameters (Bulletin A). Considering the importance of up-to-date Earth orientation parameters, the dependence on a single source outside Europe is considered a risk for European industry, for ESA missions and for EU programmes. For this reason, ESA initiated in 2017 a study with the target to develop independent ESA Earth Orientation parameter products. This study, executed by a consortium led by the Deutsches Geodätisches Forschungsinstitut (DGFI-TUM), is expected to finish in the course of this year.</p><p>In this presentation we will give an overview of ESAs up-to-date reference products and discuss their quality. It will outline the combination approach and discuss the way forward to an fully operational provision of the ESA Earth Orientation Parameter products.</p>

scholarly journals Determination of EOP from VLBI in IAA

2000 ◽  
Vol 178 ◽  
pp. 261-265
Author(s):  
E. Skurihkina
Keyword(s):  
Orientation Parameter ◽  
Earth Orientation Parameter ◽  
Earth Orientation ◽  
Relativistic Models

AbstractResults of Earth orientation parameter (EOP) determinations from NEOS-A and CORE programs reduced using the package OCCAM version 3.5 at the Institute of Applied Astronomy of Russian Academy of Science (IAA) are presented. Results of EOP determination using different reference stations, relativistic models, the IERS Standards (1992) and IERS Conventions (1996) are also presented.

scholarly journals Future of Earth Orientation Predictions

2010 ◽  
Vol 45 (2) ◽  
pp. 107-110 ◽  
Author(s):  
B. Luzum
Keyword(s):  
Orientation Parameter ◽  
Earth Orientation Parameter ◽  
Earth Orientation ◽  
User Community ◽  
The Earth

Future of Earth Orientation Predictions Earth orientation prediction has undergone a number of changes over the last few decades in response to changing conditions in the Earth orientation parameter user community. However, considering the recent pace of change, it is likely that the rate at which innovations are introduced into the prediction process will increase. Potential drivers for change are discussed and possible directions for change are outlined.

scholarly journals Parameter stability and consistency in an alongshore-current model determined with Markov chain Monte Carlo

2008 ◽  
Vol 10 (2) ◽  
pp. 153-162 ◽  
Author(s):  
B. G. Ruessink
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Parameter Estimates ◽  
Model Parameters ◽  
Parameter Stability ◽  
Small Uncertainty ◽  
Best Fit ◽  
Stability And Consistency

When a numerical model is to be used as a practical tool, its parameters should preferably be stable and consistent, that is, possess a small uncertainty and be time-invariant. Using data and predictions of alongshore mean currents flowing on a beach as a case study, this paper illustrates how parameter stability and consistency can be assessed using Markov chain Monte Carlo. Within a single calibration run, Markov chain Monte Carlo estimates the parameter posterior probability density function, its mode being the best-fit parameter set. Parameter stability is investigated by stepwise adding new data to a calibration run, while consistency is examined by calibrating the model on different datasets of equal length. The results for the present case study indicate that various tidal cycles with strong (say, >0.5 m/s) currents are required to obtain stable parameter estimates, and that the best-fit model parameters and the underlying posterior distribution are strongly time-varying. This inconsistent parameter behavior may reflect unresolved variability of the processes represented by the parameters, or may represent compensational behavior for temporal violations in specific model assumptions.

scholarly journals Interpreting the Estimates from the Full VECH Model with Asymmetry: The Case of US and Canadian Equity Prices

2017 ◽  
Vol 6 (4) ◽  
pp. 236
Author(s):  
Chikashi Tsuji
Keyword(s):  
Parameter Estimates ◽  
Model Parameters ◽  
Model Structure ◽  
Equity Prices ◽  
Related Research ◽  
Asymmetric Effects ◽  
Equity Index ◽  
Autoregressive Conditional Heteroscedasticity ◽  
Full Vector

This paper attempts to derive careful interpretation of the parameter estimates from one of the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) models, the full vector-half (VECH) model with asymmetric effects. We also consider and interpret the parameter estimates from a case study of US and Canadian equity index returns by applying this model. More specifically, we firstly inspect the model formula and derive general interpretation of the model parameters. We consider this is particularly useful for understanding not only the full VECH model structure but also similar MGARCH models. After the general considerations, we also interpret the case results that are derived from our application of the full VECH model to US and Canadian equity index returns. We consider that these concrete illustrations are also very helpful for future related research.

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