Detection of Arctic Ocean tides using interferometric GNSS-R signals
This paper evaluates the usage of reflected GPS signals for Earth observations to study changes of sea level and sea-ice in remote sensing. In a coastal setup, ∼670 m above Disko Bay (Greenland), signals with different carriers L1 and L2 were recorded. A method is presented that analyses the interfe...
| Autores: | , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2011 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:dnet:digitalcsic_::5ad7e5d73a8321e978e4101f08ceaf50 |
| Acceso en línea: | http://hdl.handle.net/10261/37347 |
| Access Level: | acceso abierto |
| Palabra clave: | GNSS Reflectometry Sea-ice Ocean tides |
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Detection of Arctic Ocean tides using interferometric GNSS-R signalsSemmling, MaximilianBeyerle, GeorgStosius, RalfDick, GalinaWickert, JensFabra Cervellera, FranCardellach, EstelRibó, SerniRius, AntonioHelm, AchimYudanov, Sergei B.D'Addio, SalvatoreGNSSReflectometrySea-iceOcean tidesThis paper evaluates the usage of reflected GPS signals for Earth observations to study changes of sea level and sea-ice in remote sensing. In a coastal setup, ∼670 m above Disko Bay (Greenland), signals with different carriers L1 and L2 were recorded. A method is presented that analyses the interferometric phase between the reflected and the direct signals and derives the height of the reflecting surface. The analysis includes a ray tracing and an estimation of signal coherence. It is shown that coherent reflections are related to sea-ice coverage. Absolute heights are derived with a time interval of ∼30 min. The altimetric results show semidiurnal tides that are validated using the AODTM-5 tide model. The residual height has a mean of 9.7 cm for L1 and 22.9 cm for L2. The dispersion is not significant but a significant tropospheric bias is detected with an error of up to 20 cm.Peer reviewedAmerican Geophysical Union201120112011info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/37347reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1029/2010GL046005info:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::5ad7e5d73a8321e978e4101f08ceaf502026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Detection of Arctic Ocean tides using interferometric GNSS-R signals |
| title |
Detection of Arctic Ocean tides using interferometric GNSS-R signals |
| spellingShingle |
Detection of Arctic Ocean tides using interferometric GNSS-R signals Semmling, Maximilian GNSS Reflectometry Sea-ice Ocean tides |
| title_short |
Detection of Arctic Ocean tides using interferometric GNSS-R signals |
| title_full |
Detection of Arctic Ocean tides using interferometric GNSS-R signals |
| title_fullStr |
Detection of Arctic Ocean tides using interferometric GNSS-R signals |
| title_full_unstemmed |
Detection of Arctic Ocean tides using interferometric GNSS-R signals |
| title_sort |
Detection of Arctic Ocean tides using interferometric GNSS-R signals |
| dc.creator.none.fl_str_mv |
Semmling, Maximilian Beyerle, Georg Stosius, Ralf Dick, Galina Wickert, Jens Fabra Cervellera, Fran Cardellach, Estel Ribó, Serni Rius, Antonio Helm, Achim Yudanov, Sergei B. D'Addio, Salvatore |
| author |
Semmling, Maximilian |
| author_facet |
Semmling, Maximilian Beyerle, Georg Stosius, Ralf Dick, Galina Wickert, Jens Fabra Cervellera, Fran Cardellach, Estel Ribó, Serni Rius, Antonio Helm, Achim Yudanov, Sergei B. D'Addio, Salvatore |
| author_role |
author |
| author2 |
Beyerle, Georg Stosius, Ralf Dick, Galina Wickert, Jens Fabra Cervellera, Fran Cardellach, Estel Ribó, Serni Rius, Antonio Helm, Achim Yudanov, Sergei B. D'Addio, Salvatore |
| author2_role |
author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
GNSS Reflectometry Sea-ice Ocean tides |
| topic |
GNSS Reflectometry Sea-ice Ocean tides |
| description |
This paper evaluates the usage of reflected GPS signals for Earth observations to study changes of sea level and sea-ice in remote sensing. In a coastal setup, ∼670 m above Disko Bay (Greenland), signals with different carriers L1 and L2 were recorded. A method is presented that analyses the interferometric phase between the reflected and the direct signals and derives the height of the reflecting surface. The analysis includes a ray tracing and an estimation of signal coherence. It is shown that coherent reflections are related to sea-ice coverage. Absolute heights are derived with a time interval of ∼30 min. The altimetric results show semidiurnal tides that are validated using the AODTM-5 tide model. The residual height has a mean of 9.7 cm for L1 and 22.9 cm for L2. The dispersion is not significant but a significant tropospheric bias is detected with an error of up to 20 cm. |
| publishDate |
2011 |
| dc.date.none.fl_str_mv |
2011 2011 2011 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/37347 |
| url |
http://hdl.handle.net/10261/37347 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
http://dx.doi.org/10.1029/2010GL046005 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
American Geophysical Union |
| publisher.none.fl_str_mv |
American Geophysical Union |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
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| _version_ |
1869417098879434752 |
| score |
15.811543 |