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Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 3 Model configurations

Dates

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

This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". This dataset is part of a larger data release of lake temperature model inputs and outputs for 2,332 lakes in the U.S. (https://doi.org/10.5066/P9I00WFR).

Contacts

Attached Files

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pb0_config.json 8.75 MB application/json
pball_config.json 577.75 KB application/json

Purpose

Fisheries biology, limnological research, and climate science.

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