Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)
October 10, 2022
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 degrees 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.
Citation Information
Publication Year | 2022 |
---|---|
Title | Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) |
DOI | 10.5066/P9CEMS0M |
Authors | Gretchen Hansen, Kumar Vipin, Jared Willard, Jordan S Read, Simon N Topp |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Water Resources Mission Area - Headquarters |
Rights | This work is marked with CC0 1.0 Universal |
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Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)
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Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)
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