Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata

Autores
Mikolaj, Michal; Güntner, Andreas; Brunini, Claudio Antonio; Wziontek, Hartmut; Gende, Mauricio Alfredo; Schröder, Stephan; Cassino, Augusto Martin; Pasquaré, Alfredo Oscar; Reich, Marvin; Hartmann, Anne; Oreiro, Fernando Ariel; Pendiuk, Jonatan Emmanuel; Guarracino, Luis; Antokoletz, Ezequiel Darío
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Argentine-German Geodetic Observatory (AGGO) is one of the very few sites in the Southern Hemisphere equipped with comprehensive cutting-edge geodetic instrumentation. The employed observation techniques are used for a wide range of geophysical applications. The data set provides gravity time series and selected gravity models together with the hydrometeorological monitoring data of the observatory. These parameters are of great interest to the scientific community, e.g. for achieving accurate realization of terrestrial and celestial reference frames. Moreover, the availability of the hydrometeorological products is beneficial to inhabitants of the region as they allow for monitoring of environmental changes and natural hazards including extreme events. The hydrological data set is composed of time series of groundwater level, modelled and observed soil moisture content, soil temperature, and physical soil properties and aquifer properties. The meteorological time series include air temperature, humidity, pressure, wind speed, solar radiation, precipitation, and derived reference evapotranspiration. These data products are extended by gravity models of hydrological, oceanic, La Plata estuary, and atmospheric effects. The quality of the provided meteorological time series is tested via comparison to the two closest WMO (World Meteorological Organization) sites where data are available only in an inferior temporal resolution. The hydrological series are validated by comparing the respective forward-modelled gravity effects to independent gravity observations reduced up to a signal corresponding to local water storage variation. Most of the time series cover the time span between April 2016 and November 2018 with either no or only few missing data points. The data set is available at https://doi.org/10.5880/GFZ.5.4.2018.001 (Mikolaj et al., 2018).
Puede accederse a los datos primarios de este trabajo haciendo clic en "Documentos relacionados".
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Astronomía
Geofísica
observation techniques
geophysics
hydrological data set
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/123996

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spelling Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La PlataMikolaj, MichalGüntner, AndreasBrunini, Claudio AntonioWziontek, HartmutGende, Mauricio AlfredoSchröder, StephanCassino, Augusto MartinPasquaré, Alfredo OscarReich, MarvinHartmann, AnneOreiro, Fernando ArielPendiuk, Jonatan EmmanuelGuarracino, LuisAntokoletz, Ezequiel DaríoAstronomíaGeofísicaobservation techniquesgeophysicshydrological data setThe Argentine-German Geodetic Observatory (AGGO) is one of the very few sites in the Southern Hemisphere equipped with comprehensive cutting-edge geodetic instrumentation. The employed observation techniques are used for a wide range of geophysical applications. The data set provides gravity time series and selected gravity models together with the hydrometeorological monitoring data of the observatory. These parameters are of great interest to the scientific community, e.g. for achieving accurate realization of terrestrial and celestial reference frames. Moreover, the availability of the hydrometeorological products is beneficial to inhabitants of the region as they allow for monitoring of environmental changes and natural hazards including extreme events. The hydrological data set is composed of time series of groundwater level, modelled and observed soil moisture content, soil temperature, and physical soil properties and aquifer properties. The meteorological time series include air temperature, humidity, pressure, wind speed, solar radiation, precipitation, and derived reference evapotranspiration. These data products are extended by gravity models of hydrological, oceanic, La Plata estuary, and atmospheric effects. The quality of the provided meteorological time series is tested via comparison to the two closest WMO (World Meteorological Organization) sites where data are available only in an inferior temporal resolution. The hydrological series are validated by comparing the respective forward-modelled gravity effects to independent gravity observations reduced up to a signal corresponding to local water storage variation. Most of the time series cover the time span between April 2016 and November 2018 with either no or only few missing data points. The data set is available at https://doi.org/10.5880/GFZ.5.4.2018.001 (Mikolaj et al., 2018).Puede accederse a los datos primarios de este trabajo haciendo clic en "Documentos relacionados".Facultad de Ciencias Astronómicas y Geofísicas2019-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf1501-1513http://sedici.unlp.edu.ar/handle/10915/123996enginfo:eu-repo/semantics/altIdentifier/issn/1866-3516info:eu-repo/semantics/altIdentifier/issn/1866-3508info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-11-1501-2019info:eu-repo/semantics/reference/hdl/10915/124041info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:29:28Zoai:sedici.unlp.edu.ar:10915/123996Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:29:28.729SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
title Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
spellingShingle Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
Mikolaj, Michal
Astronomía
Geofísica
observation techniques
geophysics
hydrological data set
title_short Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
title_full Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
title_fullStr Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
title_full_unstemmed Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
title_sort Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
dc.creator.none.fl_str_mv Mikolaj, Michal
Güntner, Andreas
Brunini, Claudio Antonio
Wziontek, Hartmut
Gende, Mauricio Alfredo
Schröder, Stephan
Cassino, Augusto Martin
Pasquaré, Alfredo Oscar
Reich, Marvin
Hartmann, Anne
Oreiro, Fernando Ariel
Pendiuk, Jonatan Emmanuel
Guarracino, Luis
Antokoletz, Ezequiel Darío
author Mikolaj, Michal
author_facet Mikolaj, Michal
Güntner, Andreas
Brunini, Claudio Antonio
Wziontek, Hartmut
Gende, Mauricio Alfredo
Schröder, Stephan
Cassino, Augusto Martin
Pasquaré, Alfredo Oscar
Reich, Marvin
Hartmann, Anne
Oreiro, Fernando Ariel
Pendiuk, Jonatan Emmanuel
Guarracino, Luis
Antokoletz, Ezequiel Darío
author_role author
author2 Güntner, Andreas
Brunini, Claudio Antonio
Wziontek, Hartmut
Gende, Mauricio Alfredo
Schröder, Stephan
Cassino, Augusto Martin
Pasquaré, Alfredo Oscar
Reich, Marvin
Hartmann, Anne
Oreiro, Fernando Ariel
Pendiuk, Jonatan Emmanuel
Guarracino, Luis
Antokoletz, Ezequiel Darío
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Astronomía
Geofísica
observation techniques
geophysics
hydrological data set
topic Astronomía
Geofísica
observation techniques
geophysics
hydrological data set
dc.description.none.fl_txt_mv The Argentine-German Geodetic Observatory (AGGO) is one of the very few sites in the Southern Hemisphere equipped with comprehensive cutting-edge geodetic instrumentation. The employed observation techniques are used for a wide range of geophysical applications. The data set provides gravity time series and selected gravity models together with the hydrometeorological monitoring data of the observatory. These parameters are of great interest to the scientific community, e.g. for achieving accurate realization of terrestrial and celestial reference frames. Moreover, the availability of the hydrometeorological products is beneficial to inhabitants of the region as they allow for monitoring of environmental changes and natural hazards including extreme events. The hydrological data set is composed of time series of groundwater level, modelled and observed soil moisture content, soil temperature, and physical soil properties and aquifer properties. The meteorological time series include air temperature, humidity, pressure, wind speed, solar radiation, precipitation, and derived reference evapotranspiration. These data products are extended by gravity models of hydrological, oceanic, La Plata estuary, and atmospheric effects. The quality of the provided meteorological time series is tested via comparison to the two closest WMO (World Meteorological Organization) sites where data are available only in an inferior temporal resolution. The hydrological series are validated by comparing the respective forward-modelled gravity effects to independent gravity observations reduced up to a signal corresponding to local water storage variation. Most of the time series cover the time span between April 2016 and November 2018 with either no or only few missing data points. The data set is available at https://doi.org/10.5880/GFZ.5.4.2018.001 (Mikolaj et al., 2018).
Puede accederse a los datos primarios de este trabajo haciendo clic en "Documentos relacionados".
Facultad de Ciencias Astronómicas y Geofísicas
description The Argentine-German Geodetic Observatory (AGGO) is one of the very few sites in the Southern Hemisphere equipped with comprehensive cutting-edge geodetic instrumentation. The employed observation techniques are used for a wide range of geophysical applications. The data set provides gravity time series and selected gravity models together with the hydrometeorological monitoring data of the observatory. These parameters are of great interest to the scientific community, e.g. for achieving accurate realization of terrestrial and celestial reference frames. Moreover, the availability of the hydrometeorological products is beneficial to inhabitants of the region as they allow for monitoring of environmental changes and natural hazards including extreme events. The hydrological data set is composed of time series of groundwater level, modelled and observed soil moisture content, soil temperature, and physical soil properties and aquifer properties. The meteorological time series include air temperature, humidity, pressure, wind speed, solar radiation, precipitation, and derived reference evapotranspiration. These data products are extended by gravity models of hydrological, oceanic, La Plata estuary, and atmospheric effects. The quality of the provided meteorological time series is tested via comparison to the two closest WMO (World Meteorological Organization) sites where data are available only in an inferior temporal resolution. The hydrological series are validated by comparing the respective forward-modelled gravity effects to independent gravity observations reduced up to a signal corresponding to local water storage variation. Most of the time series cover the time span between April 2016 and November 2018 with either no or only few missing data points. The data set is available at https://doi.org/10.5880/GFZ.5.4.2018.001 (Mikolaj et al., 2018).
publishDate 2019
dc.date.none.fl_str_mv 2019-10-01
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info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-11-1501-2019
info:eu-repo/semantics/reference/hdl/10915/124041
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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