IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v8y2023i2p38-d1063703.html
   My bibliography  Save this article

Datasets of Groundwater Level and Surface Water Budget in a Central Mediterranean Site (21 June 2017–1 October 2022)

Author

Listed:
  • Marco Delle Rose

    (Institute of Atmospheric Sciences and Climate, National Research Council of Italy, 73100 Lecce, Italy)

  • Paolo Martano

    (Institute of Atmospheric Sciences and Climate, National Research Council of Italy, 73100 Lecce, Italy)

Abstract

This note makes available five years of data gathered in a measurement site equipped with a micrometeorological station and two monitoring wells. Series of data of hydrological and atmospheric variables make it possible to estimate the flux of water across the atmosphere-land interface and to calculate the water budget, which are crucial topics in climate and environmental sciences. The water-table measures began during 2017, one of the driest years of the whole instrumental period of climate history for the Central Mediterranean. Data from the micrometeorological station have been used to construct two more datasets of daily and monthly totals of different terms of the surface water budget, from which the net infiltration has been estimated. An apparent decreasing trend characterizes both the data time series of groundwater level and estimated infiltration in the considered period.

Suggested Citation

  • Marco Delle Rose & Paolo Martano, 2023. "Datasets of Groundwater Level and Surface Water Budget in a Central Mediterranean Site (21 June 2017–1 October 2022)," Data, MDPI, vol. 8(2), pages 1-12, February.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:2:p:38-:d:1063703
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/8/2/38/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/8/2/38/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Angela Gorgoglione & Alberto Castro & Christian Chreties & Lorena Etcheverry, 2020. "Overcoming Data Scarcity in Earth Science," Data, MDPI, vol. 5(1), pages 1-5, January.
    2. Maria Rosaria Alfio & Gabriella Balacco & Marco Delle Rose & Corrado Fidelibus & Paolo Martano, 2022. "A Hydrometeorological Study of Groundwater Level Changes during the COVID-19 Lockdown Year (Salento Peninsula, Italy)," Sustainability, MDPI, vol. 14(3), pages 1-11, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:8:y:2023:i:2:p:38-:d:1063703. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.