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Compares a location's observed weather period against the corresponding periods in a historical baseline distribution. <br><b>When to use:</b> Quantify how extreme a specific period was across all metrics at once — e.g. how anomalous was March 2025 at New York vs the 1991–2020 baseline. <br><b>Date format:</b> YYYY[MM[DD]]: YYYYMMDD for a specific day or short window (period_type DAY/WEEK), YYYYMM for a month (period_type MONTH), YYYY for an annual comparison (period_type YEAR). <br><b>Performance:</b> Computed on demand; fast for short periods. <br><b>Prerequisites:</b> Use /location to obtain a locid first. <br><b>Investigate:</b> Best for 'how unusual was [period] at [location]?' — returns percentile and z-score across all metrics simultaneously. Set baseline_offset=1 for the standard 1991–2020 baseline. <br><b>Augment:</b> Provides the precise statistical framing ('the hottest March in 30 years') before describing the anomaly in prose. Returns: comparisons, comparison.locid, comparison.lat, comparison.long, comparison.obs_start, comparison.obs_end, comparison.obs_dur, comparison.base_start, comparison.base_end, comparison.base_dur, comparison.obs_period, comparison.base_period, comparison.outliers, outlier.obs_metric, outlier.percentile, outlier.obs_N, outlier.obs_X, outlier.base_N, outlier.base_X, outlier.obs_val, outlier.base_val, outlier.base_mean, outlier.base_stddev, outlier.min, outlier.max, outlier.max_key, outlier.min_key, outlier.obs_min_key, outlier.obs_max_key.