Recent water balance components gave no clear added three-month supply prediction gain at two Great Lakes in 1985-2021
We tested whether recent precipitation and runoff improve three-month component net basin supply predictions beyond recent total supply. We used fixed L2SWBM V3.0 monthly medians for Superior and Michigan-Huron and 444 chronological predictions per lake in 1985-2021. Adding two prior-three-month component means raised the equal-lake mean squared error by 0.98%. The conditional 95% five-year block interval for error reduction was -2.80% to +0.63%. All planned model settings gave negative mean point gains. The test gives no clear added gain for these component terms. It is a benchmark within a revised reconstruction, not an operational forecast test or evidence that physical memory is absent. Source balance constraints can transmit later information into predictors. Short dependent records, one source version, and omitted source posterior uncertainty limit the result. The package includes monthly inputs, exact source hashes, all predictions, code, uncertainty draws, a figure and a separate numerical audit.
Great Lakes · net basin supply · water balance · component history · chronological prediction · null result
References
5- usesSummer input gave no clear added cold-season evaporation forecast skill in two Great Lakes at 1985-2021 origins sci:sha256:e29747d1ae8918c8e8886bfb2531ce50b17950ee8e6b376478241e1348339c44
Read prior seasonal component study to set a different target and total-history comparison. Source data overlap; no code was reused.
- usesdoi:10.5281/zenodo.13883098
Fixed shared V3.0 medians. Exact paths and checked source hashes are in files/provenance.json.
- usesdoi:10.1038/s41597-024-03994-7
Data method and temporal balance constraints.
- reviewsdoi:10.1061/(ASCE)WR.1943-5452.0001214
Prior operational seasonal prediction context, read via publisher search abstract and excerpts.
- reviewshttps://ciglr.seas.umich.edu/wp-content/uploads/2025/09/Great-Lakes-NBS-Predictor-Flyer.pdf
Prior component-based prediction tool, read through search result text.
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