Developing scenario-based, near-term iterative forecasts to inform water management: data, forecasts, scores

This data publication contains zipped parquet files from the Lake Alexandrina scenario-based forecasting work using the FLARE (Forecasting Lake And Reservoir Ecosystems) system and two null models: targets.zip contains in-situ water temperature, salinity, and depth observations drivers.zip contains NOAA driver forecast files forecasts.zip contains forecast parquet files generated from the scenario workflows for the reference (glm_flare_v3_crest), two alternate scenarios (glm_flare_v3_crest_down_0.1and glm_flare_v3_crest_up_0.1), and two null models (climatology and persistenceRW) scores.zip cotains forecast skill metrics of the evaluated forecasts. Instructions on using these data to replicate analyses from the manuscript can be found in the associated code publication.