Published December 4, 2023
| Version v1.0
Software
Open
wwoelmer/SUNP_fcasts_temp_DO_MS: Process-based forecasts of water temperature and dissolved oxygen outperform null models, with variability over time, depth, and forecast horizon
Creators
- 1. Virginia Tech
-
2.
Cary Institute of Ecosystem Studies
Description
The code in this repository reproduces figures, forecasts, and scores of water temperature and dissolved oxygen from the Lake Sunapee forecasting work using the FLARE (Forecasting Lake And Reservoir Ecosystems) system and baseline models in the manuscript titled "XYZ" (Woelmer et al., 2023).
Files
wwoelmer/SUNP_fcasts_temp_DO_MS-v1.0.zip
Files
(156.4 kB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/wwoelmer/SUNP_fcasts_temp_DO_MS/tree/v1.0 (URL)