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evo-lake-trend-analysis

Performs Mann-Kendall trend detection on lake water temperature time series using pymannkendall. Outputs slope (Sen's slope) and p-value to trend_result.csv.

tasks-evolved/lake-warming-attribution/environment/skills/evo-lake-trend-analysis/SKILL.md

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Sep 10, 2026
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# evo-lake-trend-analysis

Performs non-parametric Mann-Kendall trend detection on water temperature time series.

## Key Concepts

- Uses `pymannkendall` library for Mann-Kendall tests
- Sen's slope attribute: `result.slope`
- P-value attribute: `result.p`
- NaN values MUST be dropped before passing to pymannkendall
- For annual data (low autocorrelation risk), `original_test` is appropriate
- For data with autocorrelation, use `hamed_rao` or `yue_wang` methods

## Usage