Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-669-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-669-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry
Tim Busker
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Ispra (VA),
21027, Italy
Department of Physical Geography, Utrecht University, Utrecht, 3584
CS, the Netherlands
Ad de Roo
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Ispra (VA),
21027, Italy
Emiliano Gelati
European Commission, Joint Research Centre (JRC), Ispra (VA),
21027, Italy
Christian Schwatke
Deutsches Geodätisches Forschungsinstitut der Technischen
Universität München (DGFI-TUM), Munich, 80333, Germany
Marko Adamovic
European Commission, Joint Research Centre (JRC), Ispra (VA),
21027, Italy
Berny Bisselink
European Commission, Joint Research Centre (JRC), Ispra (VA),
21027, Italy
Jean-Francois Pekel
European Commission, Joint Research Centre (JRC), Ispra (VA),
21027, Italy
Andrew Cottam
European Commission, Joint Research Centre (JRC), Ispra (VA),
21027, Italy
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Discussed (final revised paper)
Latest update: 06 Dec 2024
Short summary
This paper estimates lake and reservoir volume variations over all continents from 1984 to 2015 using remote sensing alone. This study improves on previous methodologies by using the Global Surface Water dataset developed by the Joint Research Centre, which allowed for volume calculations on a global scale, a high resolution (30 m) and back to 1984 using very detailed lake area dynamics. Using 18 in situ volume time series as validation, our volume estimates showed a high accuracy.
This paper estimates lake and reservoir volume variations over all continents from 1984 to 2015...