Released
Dataset

Hydrometerological and gravity data from the Argentine-German Geodetic Observatory in La Plata

Cite as:

Mikolaj, Michal; Güntner, Andreas; Brunini, Claudio; Wziontek, Hartmut; Gende, Mauricio; Schröder, Stephan; Pasquaré, Alfredo; Cassino, Augusto M.; Reich, Marvin; Hartmann, Anne; Oreiro, Fernando A.; Pendiuk, Jonathan; Antokoletz, Ezequiel D.; Guarracino, Luis (2018): Hydrometerological and gravity data from the Argentine-German Geodetic Observatory in La Plata. GFZ Data Services. https://doi.org/10.5880/GFZ.5.4.2018.001

Status

I   N       R   E   V   I   E   W : Mikolaj, Michal; Güntner, Andreas; Brunini, Claudio; Wziontek, Hartmut; Gende, Mauricio; Schröder, Stephan; Pasquaré, Alfredo; Cassino, Augusto M.; Reich, Marvin; Hartmann, Anne; Oreiro, Fernando A.; Pendiuk, Jonathan; Antokoletz, Ezequiel D.; Guarracino, Luis (2018): Hydrometerological and gravity data from the Argentine-German Geodetic Observatory in La Plata. GFZ Data Services. https://doi.org/10.5880/GFZ.5.4.2018.001

Abstract

The data set contains hydrological, meteorological and gravity time series collected at Argentine-German Geodetic Observatory (AGGO) in La Plata, Argentina. The hydrological series include soil moisture, temperature, electric conductivity, soil parameters, and groundwater variation. The meteorological time series comprise air temperature, humidity, pressure, wind speed, solar short- and long-waver radiation, and precipitation. The observed hydrometeorological parameters are extended by modelled value of evapotranspiration and water content variation in the zone between deepest soil moisture sensor and the groundwater level. Gravity products include large-scale hydrological, oceanic as well as atmospheric effects. These gravity effects are furthermore extended by local hydrological effects and gravity residuals suitable for comparison and evaluation of the model performance. Provided are directly observed values denoted as Level 1 product along with pre-processed series corrected for known issues (Level 2). Level 3 products are model outputs acquired using Level 2 data. The maximal temporal coverage of the data set ranges from May 2016 up to November 2018 with some exceptions for sensors and models set up in May 2017. The data set is organized in a database structure suitable for implementation in a relational database management system. All definitions and data tables are provided in separate text files allowing for traditional use without database installation.


Software related to the data acquisition, processing, and modelling can be found in a separate publication describing scripts applied to the data set presented here. The software publication is available at https://doi.org/10.5880/GFZ.5.4.2018.002 (Mikolaj, 2018)

Authors

  • Mikolaj, Michal;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Güntner, Andreas;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Brunini, Claudio;Argentinean-German Geodetic Observatory, CONICET, La Plata, Argentina
  • Wziontek, Hartmut;Federal Agency for Cartography and Geodesy (BKG), Leipzig, Germany
  • Gende, Mauricio;Facultad de Ciencias Astronómicas y Geofísicas Universidad Nacional de La Plata, La Plata, Argentina
  • Schröder, Stephan;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Pasquaré, Alfredo;Argentinean-German Geodetic Observatory, CONICET, La Plata, Argentina
  • Cassino, Augusto M.;Argentinean-German Geodetic Observatory, CONICET, La Plata, Argentina
  • Reich, Marvin;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Hartmann, Anne;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Oreiro, Fernando A.;Facultad de Ingeniería, Instituto de Geodesia y Geofísica Aplicadas Universidad de Buenos Aires, Buenos Aires, Argentina
  • Pendiuk, Jonathan;Facultad de Ciencias Astronómicas y Geofísicas Universidad Nacional de La Plata, La Plata, Argentina
  • Antokoletz, Ezequiel D.;Facultad de Ciencias Astronómicas y Geofísicas Universidad Nacional de La Plata, La Plata, Argentina
  • Guarracino, Luis;Facultad de Ciencias Astronómicas y Geofísicas Universidad Nacional de La Plata, La Plata, Argentina

Contact

  • Mikolaj, Michal; GFZ German Research Centre for Geosciences, Potsdam, Germany;
  • Güntner, Andreas; GFZ German Research Centre for Geosciences, Potsdam, Germany;

    Funders

  • Bundesministerium für Bildung und Forschung  (01DN16019)  

Keywords

GCMD Science Keywords

More Metadata

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            • CharacterString: The data set contains hydrological, meteorological and gravity time series collected at Argentine-German Geodetic Observatory (AGGO) in La Plata, Argentina. The hydrological series include soil moisture, temperature, electric conductivity, soil parameters, and groundwater variation. The meteorological time series comprise air temperature, humidity, pressure, wind speed, solar short- and long-waver radiation, and precipitation. The observed hydrometeorological parameters are extended by modelled value of evapotranspiration and water content variation in the zone between deepest soil moisture sensor and the groundwater level. Gravity products include large-scale hydrological, oceanic as well as atmospheric effects. These gravity effects are furthermore extended by local hydrological effects and gravity residuals suitable for comparison and evaluation of the model performance. Provided are directly observed values denoted as Level 1 product along with pre-processed series corrected for known issues (Level 2). Level 3 products are model outputs acquired using Level 2 data. The maximal temporal coverage of the data set ranges from May 2016 up to November 2018 with some exceptions for sensors and models set up in May 2017. The data set is organized in a database structure suitable for implementation in a relational database management system. All definitions and data tables are provided in separate text files allowing for traditional use without database installation. Software related to the data acquisition, processing, and modelling can be found in a separate publication describing scripts applied to the data set presented here. The software publication is available at https://doi.org/10.5880/GFZ.5.4.2018.002 (Mikolaj, 2018)
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