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Data release: Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning

Dates

Publication Date
Release Date
2020-10-30
Start Date
1980-04-01
End Date
2019-12-31

Citation

Willard, J., Read, J.S., Appling, A.P., and Oliver, S.K., 2020, Data release: Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: U.S. Geological Survey data release, https://doi.org/10.5066/P9I00WFR.

Summary

Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles in 2,332 lakes during 1980-2019. The data are organized into these items: This research was funded by the Department of the Interior Northeast and North Central Climate Adaptation Science Centers, a Midwest Glacial Lakes Fish Habitat Partnership grant through F&WS Access to computing facilities was provided by USGS Advanced Research Computing, USGS Yeti Supercomputer (https://doi.org/10.5066/F7D798MJ). We thank North [...]

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Purpose

Fisheries biology, limnological research, and climate science.

Additional Information

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9I00WFR

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