This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

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Title:

The Extended Global Lake area, Climate, and Population Dataset (GLCP)

Creators:

Meyer, Michael F; U.S. Geological Survey
Brousil, Matthew R; Colorado State University
Das, Pratyush K; Asian Institute of Technology
Virdis, Salvatore GP; Asian Institute of Technology
Yang, Xiao; Southern Methodist University
Cramer, Alli N; University of Washington
McClure, Ryan P; Carnegie Institutes for Science
Katz, Stephen L; Sharper Informatics Solutions
Hampton, Stephanie E; Carnegie Institution for Science

Publication Date:

2024-02-21

Citation:

Meyer, M.F., M.R. Brousil, P.K. Das, S.G. Virdis, X. Yang, A.N. Cramer, R.P. McClure, S.L. Katz, and S.E. Hampton. 2024. The Extended Global Lake area, Climate, and Population Dataset (GLCP) ver 7. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).

Abstract:

A changing climate and increasing human population necessitate understanding global freshwater availability and temporal variability. To examine lake freshwater availability from local-to-global and monthly-to-decadal scales, we created the Global Lake area, Climate, and Population (GLCP) dataset, which contains annual lake surface area for 1.42 million lakes with paired annual basin-level climate and population data. Building off an existing data product infrastructure, the next generation of the GLCP includes monthly lake ice area, snow basin area, and more climate variables including specific humidity, longwave and shortwave radiation, as well as cloud cover. The new generation of the GLCP continues previous FAIR data efforts by expanding its scripting repository and maintaining unique relational keys for merging with external data products. Compared to the original version, the new GLCP contains an even richer suite of variables capable of addressing disparate analyses of lake water trends at wide spatial and temporal scales.

Spatial Coverage:

N: 78.0 S: -78.0 E: 180.0 W: -180.0

Package ID:

edi.394.7 (Uploaded 2024-02-21)
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Resources:

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Data Entities:
1. Africa_glcp_extended (2.6 KiB; 6 downloads)
2. Asia_glcp_extended (2.7 KiB; 5 downloads)
3. Canada_1_glcp_extended (3.0 KiB; 5 downloads)
4. Canada_2_glcp_extended (3.0 KiB; 5 downloads)
5. Canada_3_glcp_extended (3.0 KiB; 5 downloads)
6. Canada_4_glcp_extended (3.0 KiB; 4 downloads)
7. Canada_5_glcp_extended (3.0 KiB; 4 downloads)
8. Canada_6_glcp_extended (3.0 KiB; 5 downloads)
9. Canada_7_glcp_extended (3.0 KiB; 5 downloads)
10. Canada_8_glcp_extended (3.0 KiB; 5 downloads)
11. Europe_glcp_extended (2.9 KiB; 7 downloads)
12. North_America_wo_Canada_glcp_extended (2.6 KiB; 7 downloads)
13. Oceania_glcp_extended (3.0 KiB; 6 downloads)
14. South_America_glcp_extended (2.6 KiB; 7 downloads)
15. hydrolakes_by_file (47.5 MiB; 5 downloads)
16. gee_scripts (98.4 KiB; 5 downloads)
17. R_scripts (26.0 KiB; 5 downloads)
18. python_scripts (719.6 KiB; 4 downloads)
19. README (131.1 KiB; 7 downloads)

Intellectual Rights:

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.

Digital Object Identifier:

DOI PLACE HOLDER

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Journal Citations:

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

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