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   <identifier identifierType="DOI">10.5880/GFZ.5.4.2018.002</identifier>
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      <creator>
         <creatorName nameType="Personal">Mikolaj, Michal</creatorName>
         <givenName>Michal</givenName>
         <familyName>Mikolaj</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID">0000-0003-0844-5242</nameIdentifier>
         <affiliation affiliationIdentifier="0000-0003-0844-5242" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
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   <titles>
      <title>The processing and modelling of hydrometerological and gravity data at the Argentine-German Geodetic Observatory in La Plata</title>
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   <publisher>GFZ Data Services</publisher>
   <publicationYear>2018</publicationYear>
   <subjects/>
   <contributors>
      <contributor contributorType="ContactPerson">
         <contributorName nameType="Personal">Mikolaj, Michal</contributorName>
         <givenName>Michal</givenName>
         <familyName>Mikolaj</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID">0000-0003-0844-5242</nameIdentifier>
         <affiliation affiliationIdentifier="0000-0003-0844-5242" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
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         <contributorName nameType="Personal">Mikolaj, Michal</contributorName>
         <givenName>Michal</givenName>
         <familyName>Mikolaj</familyName>
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         <affiliation affiliationIdentifier="0000-0003-0844-5242" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
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         <contributorName nameType="Personal">Mikolaj, Michal</contributorName>
         <givenName>Michal</givenName>
         <familyName>Mikolaj</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID">0000-0003-0844-5242</nameIdentifier>
         <affiliation affiliationIdentifier="0000-0003-0844-5242" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
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         <contributorName>Mikolaj, Michal</contributorName>
         <affiliation affiliationIdentifier="" affiliationIdentifierScheme="">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
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      <contributor contributorType="ContactPerson">
         <contributorName>Güntner, Andreas</contributorName>
         <affiliation affiliationIdentifier="" affiliationIdentifierScheme="">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
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      <relatedIdentifier relatedIdentifierType="DOI" relationType="References">10.5880/igets.lp.l1.001</relatedIdentifier>
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   <rightsList>
      <rights rightsURI="https://www.gnu.org/licenses/gpl-3.0.html">*.r &amp; *.py scripts are licensed under: GNU General Public License, Version 3, 29 June 2007, Copyright © 2018 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences (M. Mikolaj)</rights>
      <rights rightsURI="https://opensource.org/licenses/BSD-3-Clause">*.jl and *.m scripts in this software publication are licensed under BSD-3-Clause, Copyright © 2018 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences (M. Mikolaj)</rights>
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      <description descriptionType="Abstract">This software publication describes the data acquisition, processing and modelling of hydrological, meteorological and gravity time series prepared for the Argentine-German Geodetic Observatory (AGGO) in La Plata, Argentina. The corresponding output data set is available at http://doi.org/10.5880/GFZ.5.4.2018.001 (Mikolaj et al., 2018).   <br/>
         <br/>
         <br/>
 Processed hydrological series include soil moisture, temperature, electric conductivity, and groundwater variation. The processed meteorological time series comprise air temperature, humidity, pressure, wind speed, solar short- and long-waver radiation, and precipitation. Modelling scripts include evapotranspiration, combined precipitation, and water content variation in the zone between deepest soil moisture sensor and groundwater. In addition, large-scale hydrological, oceanic as well as atmospheric effect are modelled along with the local hydrological effects. To allow for a comparison of the model outputs to observations, processing script of gravity residuals is provided as well.   <br/>
         <br/>
         <br/>
      </description>
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         <funderName>Bundesministerium für Bildung und Forschung</funderName>
         <funderIdentifier funderIdentifierType="Crossref Funder ID">http://doi.org/10.13039/501100002347</funderIdentifier>
         <awardNumber>01DN16019</awardNumber>
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