Michal Mikolaj, Andreas Güntner, Claudio Brunini, Hartmut Wziontek, Mauricio Gende, Stephan Schröder, Augusto M. Cassino, Alfredo Pasquare, Marvin Reich, Anne Hartmann, Fernando Ariel Oreiro, Jonathan Pendiuk, Luis Guarracino, Ezequiel D. Antokoletz
- 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,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/10.588/GFZ.5.4.2018.001 (Mikolaj et al., 2018).…
MetadatenAuthor details: | Michal MikolajORCiDGND, Andreas GüntnerORCiDGND, Claudio Brunini, Hartmut WziontekORCiDGND, Mauricio GendeORCiD, Stephan Schröder, Augusto M. Cassino, Alfredo Pasquare, Marvin ReichORCiDGND, Anne HartmannORCiDGND, Fernando Ariel OreiroORCiD, Jonathan Pendiuk, Luis GuarracinoORCiD, Ezequiel D. AntokoletzORCiD |
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DOI: | https://doi.org/10.5194/essd-11-1501-2019 |
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ISSN: | 1866-3508 |
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ISSN: | 1866-3516 |
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Title of parent work (English): | Earth system science data |
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Publisher: | Copernicus |
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Place of publishing: | Göttingen |
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Publication type: | Article |
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Language: | English |
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Date of first publication: | 2019/10/01 |
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Publication year: | 2019 |
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Release date: | 2020/11/23 |
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Volume: | 11 |
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Issue: | 4 |
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Number of pages: | 13 |
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First page: | 1501 |
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Last Page: | 1513 |
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Funding institution: | Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) through the project "Hydrological and oceanic signals in geodetic observations at the Argentine-German Geodetic Observatory" (HOSGO) [01DN16019]; Bundesministerium fur Bildung und Forschung (BMBF)Federal Ministry of Education & Research (BMBF) |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
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DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
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Peer review: | Referiert |
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Publishing method: | Open Access |
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| Open Access / Gold Open-Access |
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| DOAJ gelistet |
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