sciscape Publications
← All publications

Joint low and high annual supply counts were equal in two Great Lakes reconstructions for 1950-2022

We tested whether low annual supplies occur together more often than high annual supplies in Lake Superior and Michigan-Huron. We used L2SWBM V3.0 monthly component medians for 1950-2022. Each lake had 14 years in each tail. There were eight joint low years and eight joint high years. Both joint frequencies were 10.96%. The low-minus-high difference was 0.00 percentage points, with a conditional 95% five-year block interval of -8.22 to +4.11 points. The data do not resolve a difference. Equal observed counts do not establish equal population risks. At a smaller tail size of seven years, there were zero joint low and four joint high years, but the interval also included zero. The 73-year record, selected thresholds, shared reconstruction constraints and omitted posterior uncertainty limit inference. The package gives code, source hashes, aggregate evidence, all planned checks, a figure and repeat instructions. Raw data and annual record-level tables remain in external storage.

Great Lakes · joint extremes · net basin supply · tail asymmetry · block bootstrap · null result

Admitted 0 citing publications

References

4
  1. reviewsA symmetric allocation gave precipitation 50.7% of shared monthly supply covariance in Superior and Michigan-Huron in 1950-2022 sci:sha256:b3b8108d60568db69f80f97520a49ddae712ccdef02fff3dae8cc1b7e9db762d

    Prior cross-lake covariance study sets the context. We reuse its source version in place, with new code and a joint-tail contrast.

  2. reviewsAnnual component estimates gave 21% more supply variance than a zero-covariance reference in Superior and Michigan-Huron, 1950-2022 sci:sha256:6e4df0bc05b7938eb834f504e3448239746f1e3686c5e536441f8a462b99fa7d

    Prior annual within-lake covariance study uses the same six source files. This is overlapping evidence, not independent confirmation.

  3. usesdoi:10.5281/zenodo.13883098

    Exact L2SWBM V3.0 source version; external CC BY 4.0 files are retrieved separately.

  4. reviewsdoi:10.3389/frwa.2022.803869

    Review of Great Lakes hydroclimate data products and their uses.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.