anomalies

io.weathersight/weathersight · Verify this server

Returns precomputed anomalous observations for locations in a given time period and scope. <br><b>When to use:</b> Survey anomalous weather at regional or global scale quickly without specifying individual cities. <br><b>Date format:</b> YYYY[MM[DD]]: YYYY for annual anomalies (scope=year), YYYYMM for monthly (scope=month), YYYYMMDD for weekly or daily (scope=week/day). <br><b>Performance:</b> Fast — retrieves precomputed data. <br><b>Prerequisites:</b> None; global or country-filtered. Use /countries for country IDs. <br><b>Investigate:</b> Good early call to identify which locations experienced anomalies before drilling into specifics with /anom or /dailycomp. <br><b>Augment:</b> Use for a first-pass global scan to identify story-worthy anomalies before fetching per-location detail. Returns: anomalies, anomaly.locid, anomaly.lat, anomaly.long, anomaly.obs_start, anomaly.obs_end, anomaly.obs_dur, anomaly.base_start, anomaly.base_end, anomaly.base_dur, anomaly.obs_period, anomaly.base_period, anomaly.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.