Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)

Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes.

Data and Resources

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publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
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Groups
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isopen False
license_id notspecified
license_title License not specified
maintainer Jordan S. Read
maintainer_email jread@usgs.gov
metadata_created 2025-11-20T19:21:25.741298
metadata_modified 2025-11-20T19:21:25.741303
notes Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes.
num_resources 2
num_tags 120
title Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)