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Process-based water temperature predictions in the Midwest US: 2 Model configurations (lake metadata and parameter values)

Dates

Publication Date
Start Date
1980-01-01
End Date
2019-12-31

Citation

Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Lindsay Platt, Jacob A. Zwart, Kelsey Vitense, Gretchen J.A. Hansen, Hayley Corson-Dosch, and Holly Kundel, 2021, Data release: Process-based predictions of lake water temperature in the Midwest US: U.S. Geological Survey, http://dx.doi.org/10.5066/P9CA6XP8.

Summary

This dataset provides model specifications used to estimate water temperature from the process-based model, General Lake Model verion 2 (Hipsey et al. 2019) using calibrated model configurations (PBALL) for 449 lakes and uncalibrated model configurations (PB0) for 7,150 lakes. 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 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).

Contacts

Attached Files

Click on title to download individual files attached to this item.

pb0_nml_files.zip 9.59 MB application/zip
pball_nml_files.zip 686.07 KB application/zip
pball_config.json 1.67 MB application/json
pb0_config.json 24.7 MB application/json

Purpose

Fisheries biology, limnological research, and climate science.

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