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contenu dans Earth and Space Science Open Archive ESSOAr / American Geophysical Union (2019)

Titre :	Comparison of atmospheric mass density models using a new data source: COSMIC satellite ephemerides
Type de document :	Article/Communication
Auteurs :	Yang Yang, Auteur ; Ronald Maj, Auteur ; Changyong He , Auteur ; Robert Norman, Auteur ; Emma Kerr, Auteur ; Brett Anthony Carter, Auteur ; Julie Louise Currie, Auteur ; Steve Gower, Auteur
Editeur :	Washington DC [Etats-Unis] : Earth and Space Science Open Archive ESSOAr
Année de publication :	2020
Note générale :	bibliographie Submitted to Space Weather
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Géodésie spatiale [Termes IGN] atmosphère terrestre [Termes IGN] éphémérides de satellite [Termes IGN] International Reference Ionosphere [Termes IGN] masse d'air [Termes IGN] modèle atmosphérique [Termes IGN] orbite basse
Résumé :	(auteur) Atmospheric mass density (AMD) plays a vital role in the drag calculation for space objects in low Earth orbit (LEO). Many empirical AMD models have been developed and used for orbit prediction and efforts continue to improve their accuracy in forecasting high-altitude atmospheric conditions. Previous studies have assessed these models at the height of 200 km to 600 km. A new empirical AMD model, dubbed as the SERC model, was developed by accounting for ion contribution based on the International Reference Ionosphere 2016 model, including many more ions that are not accounted for in other AMD models. This new model has been assessed in orbit prediction by using a new data source of COSMIC satellite ephemerides at the height of 800 km, where the contribution of ions in the total AMD is more significant. More specifically, two periods of forty days were chosen in 2014--2015 and 2018--2019, representing the solar maximum and minimum periods, respectively, to assess the SERC model and four other state-of-the-art AMD models. Thorough analyses were conducted to compare OP results using different AMD models with precise reference ephemerides of COSMIC satellites and based on various space weather indices. It is indicated that the SERC model outperforms all other AMD models in terms of OP errors during the solar maximum period and yields comparable OP results during the solar minimum period.
Numéro de notice :	P2020-001
Affiliation des auteurs :	ENSG+Ext (2020- )
Thématique :	POSITIONNEMENT
Nature :	Preprint
nature-HAL :	Préprint
DOI :	10.1002/essoar.10502170.1
Date de publication en ligne :	09/02/2020
En ligne :	https://doi.org/10.1002/essoar.10502170.1
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=97632

Voir aussi

Comparison of atmospheric mass density models using a new data source: COSMIC satellite ephemerides / Yang Yang in IEEE Aerospace and Electronic Systems Magazine, vol 37 n° 2 (February 2022)

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[article]
inIEEE Aerospace and Electronic Systems Magazine > vol 37 n° 2 (February 2022) . - pp 6 - 22

Titre :	Comparison of atmospheric mass density models using a new data source: COSMIC satellite ephemerides
Type de document :	Article/Communication
Auteurs :	Yang Yang, Auteur ; Ronald Maj, Auteur ; Changyong He , Auteur ; Robert Norman, Auteur ; Emma Kerr, Auteur ; Brett Anthony Carter, Auteur ; Julie Louise Currie, Auteur ; Steve Gower, Auteur
Année de publication :	2022
Projets :	2-Pas d'info accessible - article non ouvert /
Article en page(s) :	pp 6 - 22
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Géodésie spatiale [Termes IGN] analyse comparative [Termes IGN] atmosphère terrestre [Termes IGN] éphémérides de satellite [Termes IGN] International Reference Ionosphere [Termes IGN] masse d'air [Termes IGN] modèle atmosphérique [Termes IGN] orbite basse [Termes IGN] teneur totale en électrons
Résumé :	(auteur) Atmospheric mass density (AMD) plays a vital role in the drag calculation for space objects in low Earth orbit. Many empirical AMD models have been developed and used for orbit prediction and efforts continue to improve their accuracy in forecasting high-altitude atmospheric conditions. Previous studies have assessed these models at the height of 200 km to 600 km. In this paper, four state-of-the-art AMD models, i.e., MSISE90, MSISE00, JB2008 and DTM2013 are assessed for their orbit prediction (OP) capabilities by using a new data source of COSMIC satellite ephemerides at an orbital height of ~800 km, where the contribution of ions in the total AMD is more significant. A new testing model was developed by accounting for ion contribution based on the International Reference Ionosphere 2016 model, including many more ion species that are not accounted for in other AMD models. In the assessment, two periods of forty days were chosen in 2014-2015 and 2018-2019, representing solar maximum and minimum periods, respectively, to assess four existing AMD models and the proposed model. Thorough analyses were conducted to compare OP results using different AMD models with precise reference ephemerides of COSMIC satellites and based on various space weather indices. It is shown that the proposed model outperforms all other AMD models in terms of OP errors during the solar maximum period. During solar minimum, the drag acceleration is relatively small for COSMIC satellites. Assessment of all AMD models in the orbit prediction process tends to be contaminated by the remaining uncertainty sources, such as solar radiation pressure.
Numéro de notice :	A2022-070
Affiliation des auteurs :	ENSG+Ext (2020- )
Thématique :	POSITIONNEMENT
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1109/MAES.2021.3125101
Date de publication en ligne :	20/12/2021
En ligne :	https://doi.org/10.1109/MAES.2021.3125101
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=99376

Voir aussi

Public

contenu dans Earth and Space Science Open Archive ESSOAr / American Geophysical Union (2019)

Titre :	Are there detectable common aperiodic displacements at ITRF co-location sites?
Type de document :	Article/Communication
Auteurs :	Maylis Teyssendier de la Serve , Auteur ; Paul Rebischung , Auteur ; Xavier Collilieux , Auteur ; Zuheir Altamimi , Auteur ; Laurent Métivier , Auteur
Editeur :	Washington DC [Etats-Unis] : Earth and Space Science Open Archive ESSOAr
Année de publication :	2021
Projets :	1-Pas de projet /
Conférence :	AGU 2021 Fall Meeting 13/12/2021 17/12/2021 New Orleans and virtual Louisiane - Etats-Unis
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Systèmes de référence et réseaux [Termes IGN] co-positionnement [Termes IGN] déformation de la croute terrestre [Termes IGN] International Terrestrial Reference Frame [Termes IGN] résidu [Termes IGN] série temporelle
Résumé :	(auteur) Nowadays, the time evolution of ITRF station positions is described by piece-wise linear models extended with exponential and logarithmic functions to account for post-seismic displacements. The ITRF2020 will also account for seasonal deformation by means of annual and semi-annual sine waves. However, part of the Earth’s surface deformation is not captured by those deterministic functions, such as inter-annual hydrological loading deformation, or high-frequency atmospheric loading deformation. To account for such aperiodic displacements, a reference frame in the form of a time series could be considered. This would require aperiodic motions of the different space geodetic stations to be tied in a common frame by means of co-motion constraints. The relevance of such constraints is however debatable. Indeed, common aperiodic movements between co-located space geodetic stations have thus far not been evidenced. This presentation describes the comparison of station position time series from the different space geodetic techniques in order to highlight whether or not common aperiodic movements can be detected at co-location sites. Those time series are extracted from the solutions provided by the techniques international services for the ITRF2014. They are first carefully aligned to a common reference frame in order to minimize differential network effect. Then, they are cleaned from linear, post-seismic and periodic signals (including seasonal deformation and technique systematic errors). Residual time series from co-located stations are finally confronted with each other.
Numéro de notice :	C2021-069
Affiliation des auteurs :	UMR IPGP-Géod (2020- )
Thématique :	POSITIONNEMENT
Nature :	Poster
nature-HAL :	Poster-avec-CL
DOI :	10.1002/essoar.10509118.1
Date de publication en ligne :	06/12/2021
En ligne :	https://doi.org/10.1002/essoar.10509118.1
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=99604

Public

contenu dans Earth and Space Science Open Archive ESSOAr / American Geophysical Union (2019)

Titre :	Analysis of IGS repro3 station position time series [diaporama]
Type de document :	Article/Communication
Auteurs :	Paul Rebischung , Auteur ; Xavier Collilieux , Auteur ; Laurent Métivier , Auteur ; Zuheir Altamimi , Auteur ; Kristel Chanard , Auteur
Editeur :	Washington DC [Etats-Unis] : Earth and Space Science Open Archive ESSOAr
Année de publication :	2021
Conférence :	AGU 2021 Fall Meeting 13/12/2021 17/12/2021 New Orleans and virtual Louisiane - Etats-Unis
Importance :	30 p.
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Systèmes de référence et réseaux [Termes IGN] analyse spectrale [Termes IGN] déformation de la croute terrestre [Termes IGN] effet de charge [Termes IGN] International Terrestrial Reference Frame [Termes IGN] série temporelle
Résumé :	(auteur) The IGS contribution to ITRF2020, based on the third IGS reprocessing campaign (repro3), comprises daily position estimates for 1905 globally distributed GNSS stations. As an essential step of the ITRF2020 preparation, a detailed analysis of the IGS repro3 station position time series has been carried out, including identification of offsets, modeling of post-seismic displacements, confrontation with deformation predicted by geophysical loading models, and characterization of systematic and random errors. This presentation covers the different aspects of this analysis, the methods used and the lessons learned.
Numéro de notice :	C2021-070
Affiliation des auteurs :	UMR IPGP-Géod (2020- )
Thématique :	POSITIONNEMENT
Nature :	Communication
nature-HAL :	ComSansActesPubliés-Unpublished
DOI :	10.1002/essoar.10509008.1
Date de publication en ligne :	06/12/2021
En ligne :	https://doi.org/10.1002/essoar.10509008.1
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=99607

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IGN

Centre dedocumentationscientifique

Accueil

Sélection de la langue

Adresse

Se connecter

Actualité

L'actu ! voici les premiers frimas d'octobre

Informations pratiques

IGN / ENSG

L'IGN a pour vocation

Accès directs

2014-2022 IGN

Centre dedocumentation
scientifique