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The global lake area, climate, and population dataset
Michael F Meyer1, Stephanie G Labou2,3, Alli N Cramer4
1School of the Environment, Washington State University, Pullman, Washington, 99164, USA. michael.f.meyer@wsu.edu.
The Global Lake area, Climate, and Population (GLCP) dataset offers harmonized data on lake surface area, climate, and population. This resource aids researchers in understanding freshwater availability amid climate change and population growth.
Area of Science:
- Environmental science
- Hydrology
- Remote sensing
Background:
- Global population growth and climate change impact freshwater resources.
- Tracking water quantity changes requires integrating diverse data sources.
- Existing data integration methods are computationally intensive.
Purpose of the Study:
- To create a harmonized global dataset for freshwater research.
- To facilitate the study of lake surface area, climate, and population dynamics.
- To support local, regional, and global investigations of water quantity.
Main Methods:
- Harmonized existing global datasets.
- Compiled lake surface area data for over 1.42 million lakes and reservoirs (≥10 ha) from 1995-2015.
- Integrated co-located basin-level temperature, precipitation, and population data.
Main Results:
- Developed the Global Lake area, Climate, and Population (GLCP) dataset.
- Ensured data are findable, accessible, interoperable, and reusable (FAIR principles).
- Maintained unique identifiers from parent datasets for enhanced interoperability.
Conclusions:
- The GLCP dataset provides critical data for freshwater research.
- Facilitates basic and applied investigations into lake surface area and water quantity.
- Supports understanding of water abundance at multiple spatial and temporal scales.
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