Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)
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Abstract
The dataset described here includes estimates of historical (1980–2020) daily surface water temperature, lake metadata, and daily weather conditions for lakes bigger than 4 ha in the conterminous United States (n = 185,549), and also in situ temperature observations for a subset of lakes (n = 12,227). Estimates were generated using a long short-term memory deep learning model and compared to existing process-based and linear regression models. Model training was optimized for prediction on unmonitored lakes through cross-validation that held out lakes to assess generalizability and estimate error. On the held-out lakes with in situ observations, median lake-specific error was 1.24°C, and the overall root mean squared error was 1.61°C. This dataset increases the number of lakes with daily temperature predictions when compared to existing datasets, as well as substantially improves predictive accuracy compared to a prior empirical model and a debiased process-based approach (2.01°C and 1.79°C median error, respectively).
Suggested Citation
Willard, J.D., Read, J., Topp, S.N., Hansen, G., Kumar, V., 2022, Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020): Limnology & Oceanography: Letters, v. 7, no. 4, p. 287-301, https://doi.org/10.1002/lol2.10249.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020) |
| Series title | Limnology & Oceanography: Letters |
| DOI | 10.1002/lol2.10249 |
| Volume | 7 |
| Issue | 4 |
| Publication Date | March 17, 2022 |
| Year Published | 2022 |
| Language | English |
| Publisher | Wiley |
| Contributing office(s) | WMA - Integrated Information Dissemination Division |
| Description | 15 p. |
| First page | 287 |
| Last page | 301 |
| Country | United States |