Data

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

The University of Western Australia
Olsson, Freya ; Thomas, R. Quinn ; Hipsey, Matthew ; Delany, Austin ; Sims, Claire ; Rumbelow, Adrienne ; Carey, Cayelan C.
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5281/zenodo.15649265&rft.title=Developing scenario-based, near-term iterative forecasts to inform water management: data, forecasts, scores&rft.identifier=10.5281/zenodo.15649265&rft.publisher=Zenodo&rft.description=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.&rft.creator=Olsson, Freya &rft.creator=Thomas, R. Quinn &rft.creator=Hipsey, Matthew &rft.creator=Delany, Austin &rft.creator=Sims, Claire &rft.creator=Rumbelow, Adrienne &rft.creator=Carey, Cayelan C. &rft.date=2025&rft.type=dataset&rft.language=English Access the data

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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.

Notes

External Organisations
Virginia Polytechnic Institute and State University; Department of Environment and Water (South Australia)
Associated Persons
Cayelan C. Carey (Creator)Freya Olsson (Creator); R. Quinn Thomas (Creator); Austin Delany (Creator); Claire Sims (Creator); Adrienne Rumbelow (Creator)

Issued: 2025-06-11

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