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  • Global lake area, climate, and population dataset
  • Labou, Stephanie G; Center for Environmental Research, Education, & Outreach, Washington State University
    Meyer, Michael F; School of the Environment, Washington State University
    Brousil, Matthew R; Center for Environmental Research, Education, & Outreach, Washington State University
    Cramer, Alli N; School of the Environment, Washington State University
    Luff, Bradley T; School of the Environment, Washington State University
  • 2019-11-15
  • Labou, S.G., M.F. Meyer, M.R. Brousil, A.N. Cramer, and B.T. Luff. 2019. Global lake area, climate, and population dataset ver 4. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-29).

  • An increasing population in conjunction with a changing climate necessitates a detailed understanding of water abundance at multiple spatial and temporal scales. While remote sensing has provided massive data volumes to track fluctuations in water quantity, contextualizing water abundance with other local, regional, and global trends remains challenging, because of requirements for large computational resources to combine multiple data sources into an analytically-friendly format. To bridge this gap and to facilitate future freshwater research opportunities, we present the Global lake area, climate, and population (GLCP) dataset. The GLCP is a compilation of lake surface area for over 1.42 million lakes and reservoirs from 1995 to 2015 with co-located basin-level temperature, precipitation, and population data. The GLCP was created with FAIR data principles in mind by retaining unique identifiers from parent datasets to expedite interoperability. The GLCP offers critical data for basic and applied investigations of lake surface area, and water quantity in general, at local, regional, and global scales.

  • N: 78.0      S: -78.0      E: 180.0      W: -180.0
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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