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© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Jan 2019

Research article | 08 Jan 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

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

Michal Mikolaj1, Andreas Güntner1,2, Claudio Brunini3,4, Hartmut Wziontek5, Mauricio Gende4, Stephan Schröder1, Augusto M. Cassino3, Alfredo Pasquaré3, Marvin Reich1, Anne Hartmann1, Fernando A. Oreiro6,7, Jonathan Pendiuk4, Luis Guarracino4, and Ezequiel D. Antokoletz4 Michal Mikolaj et al.
  • 1GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany
  • 2University of Potsdam, Institute of Earth and Environmental Science, Potsdam, Germany
  • 3Argentinean-German Geodetic Observatory, CONICET, La Plata, Argentina
  • 4Facultad de Ciencias Astronómicas y Geofísicas Universidad Nacional de La Plata, La Plata, Argentina
  • 5Federal Agency for Cartography and Geodesy (BKG), Leipzig, Germany
  • 6Facultad de Ingeniería, Instituto de Geodesia y Geofísica Aplicadas Universidad de Buenos Aires, Buenos Aires, Argentina
  • 7Servicio de Hidrografía Naval, Ministerio de Defensa, Argentina

Abstract. The Argentine-German Geodetic Observatory (AGGO) is one of the very few sites in the southern hemisphere equipped with a comprehensive cutting-edge geodetic instrumentation. The employed observation techniques are used for a wide range of geophysical applications. The presented multi-compartmental 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 sites where data is 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 (Mikolaj et al., 2018).

Michal Mikolaj et al.
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Status: open (until 06 Jun 2019)
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Michal Mikolaj et al.
Data sets

Hydrometerological and gravity data from the Argentine-German Geodetic Observatory in La Plata M. Mikolaj, A. Güntner, C. Brunini, H. Wziontek, M. Gende, S. Schröder, A. Pasquaré, A. M. Cassino, M. Reich, A. Hartmann, F. A. Oreiro, J. Pendiuk, E. D. Antokoletz, and L. Guarracino

Model code and software

The processing and modelling of hydrometerological and gravity data at the Argentine-German Geodetic Observatory in La Plata M. Mikolaj

Michal Mikolaj et al.
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Short summary
In this study, we present a data set comprising hydrological, meteorological and gravity measurements. The quality of the data set is tested and prepared for further use by scientist as well as local agencies and communities in the Río de la Plata region. Scientist can use these measurements to monitor environmental changes and to study extreme events such as floods and droughts with tangible effects on the inhabitants of the region.
In this study, we present a data set comprising hydrological, meteorological and gravity...