Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth

This data publication includes raw ensemble forecast output (forecasts.zip), as well as summary score files (scores.zip) for process-based forecasts produced with the Forecasting Lake and Reservoir Ecosystems (FLARE) framework. In addition, it includes scores for climatology (climatology_scores.csv) and random walk (RW_scores.csv) null forecasts, formatted observational data of target variables (sunp-targets-insitu.csv), and meteorological driver files required for analysis to accompany the manuscript "Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth". Forecasts were made of water temperature and dissolved oxygen at Lake Sunapee, NH in 2021 and 2022.